What this is
- () primarily affects young, obese women and is characterized by elevated intracranial pressure without a known cause.
- This study compares the effectiveness of to community weight management in treating .
- Data were drawn from a large electronic health records network, focusing on outcomes like , headaches, and visual symptoms over 24 months.
Essence
- outperformed community weight management in managing , demonstrating lower rates of and improved headache and visual symptoms over 24 months.
Key takeaways
- led to a lower incidence of compared to community weight management, with a relative risk of 0.591 at 24 months.
- Headache prevalence was significantly reduced in the bariatric group at multiple follow-ups, indicating improved quality of life for patients.
- The need for acetazolamide, a medication used to manage , was lower in the group, suggesting reduced pharmacological intervention post-surgery.
Caveats
- The study's observational nature limits the ability to establish causation between and improved outcomes.
- Potential selection bias exists despite efforts to balance groups through propensity score matching.
- The retrospective design may have led to underreporting of some outcomes, affecting the reliability of the findings.
Definitions
- Idiopathic Intracranial Hypertension (IIH): A neurological disorder marked by elevated intracranial pressure without identifiable cause, often leading to headaches and visual disturbances.
- Bariatric Surgery: Surgical procedures aimed at weight loss, which can significantly reduce body mass index and improve obesity-related health conditions.
- Papilledema: Swelling of the optic nerve head due to increased intracranial pressure, which can lead to vision loss if untreated.
AI simplified
Introduction
Idiopathic Intracranial Hypertension (IIH) is a neurological disorder characterized by elevated intracranial pressure (ICP) in the absence of identifiable etiology1. This condition predominantly affects young, obese women of childbearing age, with an estimated incidence of 0.9 per 100,000 in the general population, rising to 19 per 100,000 in women with a body mass index (BMI) exceeding 30 kg/m22.The pathophysiology of IIH remains enigmatic, with proposed mechanisms including abnormalities in cerebrospinal fluid (CSF) dynamics, cerebral venous sinus stenosis, and adipose tissue dysfunction3. The clinical presentation typically includes headaches, papilledema, and visual disturbances, with the potential for permanent vision loss if left untreated4.
The current standard of care for IIH encompasses a multifaceted approach, with weight loss serving as the cornerstone of management. Lifestyle modifications aimed at reducing body weight by 5β10% have demonstrated efficacy in alleviating symptoms and improving visual outcomes5.Pharmacological interventions, primarily acetazolamide, a carbonic anhydrase inhibitor, have shown promise in reducing ICP and improving visual field function6. The Idiopathic Intracranial Hypertension Treatment Trial (IIHTT) provided robust evidence supporting acetazolamideβs efficacy, demonstrating significant improvements in visual field function and quality of life measures compared to placebo7. Additional therapeutic modalities include topiramate, which offers the dual benefit of ICP reduction and weight loss, and CSF diversion procedures such as ventriculoperitoneal or lumboperitoneal shunting for refractory cases8.
Despite these established interventions, the management of IIH remains challenging, with significant limitations in current approaches. Long-term adherence to lifestyle modifications and pharmacotherapy is often suboptimal, with weight recidivism being a common issue9. Moreover, the side effect profile of acetazolamide, including paresthesias, dysgeusia, and metabolic acidosis, can lead to treatment discontinuation in a subset of patients10. The efficacy of CSF diversion procedures is hampered by high failure and revision rates, necessitating repeated surgical interventions11. These limitations underscore the need for more definitive and sustainable treatment options, particularly for patients with severe, refractory IIH.
In this context, bariatric surgery has emerged as a promising therapeutic avenue for IIH management, especially in patients with concurrent morbid obesity. The dramatic and sustained weight loss achieved through bariatric procedures offers a potential mechanism for long-term ICP reduction and symptom resolution12. Recent studies have reported encouraging outcomes, with significant improvements in papilledema, headache severity, and overall quality of life following bariatric interventions13. Ottridge et al. demonstrated resolution or improvement of papilledema in 90% of IIH patients undergoing bariatric surgery, with concomitant reductions in intracranial pressure and headache severity14. These findings suggest that bariatric surgery may offer a more definitive solution for carefully selected IIH patients, addressing both the metabolic dysfunction associated with obesity and the elevated ICP characteristic of the condition.
Our study aims to further elucidate the comparative efficacy of bariatric surgery versus conventional community weight management approaches in the treatment of IIH. Utilizing the TriNetX database, a global federated network of electronic health records15, we conducted a retrospective cohort study to analyze outcomes in IIH patients undergoing bariatric procedures compared to those managed with traditional weight loss interventions. We aim to provide real-world evidence to inform clinical decision-making and potentially reshape treatment paradigms for IIH. By leveraging a large-scale, diverse patient population, we aim to offer insights into the long-term efficacy, safety, and potential cost-effectiveness of bariatric surgery as a management strategy for IIH, particularly in cases refractory to conventional therapies.
Methods
We leveraged data from the comprehensive TriNetX Research Network, encompassing over 200 million electronic health records from more than 75 healthcare organizations, predominantly in the United States15. The dataset provides rich patient-level information, including demographics, diagnoses, treatments, procedures, and outcomes, coded using standard medical classification systems such as ICD-10 and CPT. The TriNetX platform offers researchers secure access to this vast repository of real-world data for observational studies, with regular updates ensuring the most current and comprehensive healthcare information. We conducted a retrospective analysis of TriNetX data from 2009 to September 2024 (the available data timeframe on the dataset), focusing on patients diagnosed with IIH. Exclusion criteria encompassed individuals with other known causes of elevated intracranial pressure, including primary brain tumors, secondary brain metastases, cerebral arteriovenous malformations, malignant hypertension (primary and secondary), meningitis, traumatic elevated intracranial pressure, and venous sinus thrombosis.
To ensure well-balanced study groups, we employed propensity score matching based on age, sex, race, ethnicity, and baseline body mass index (BMI) at the time of weight loss management initiation, either through bariatric surgery or conventional weight management approaches. Our analysis examined outcomes at various follow-up intervals (3, 6, 12, and 24 months), assessing key indicators such as papilledema, increased intracranial pressure (ICP), headache, optic atrophy, blindness, pulsatile tinnitus, abducent nerve palsy, diplopia, refractory IIH status, visual discomfort, and visual field defects. Additionally, we evaluated therapeutic intervention rates, including spinal punctures, CSF shunting, and optic nerve sheath fenestration (ONSF), as well as the continued use of acetazolamide as the primary treatment.
All of the used methods in this retrospective cohort study were carried out in accordance with relevant guidelines and regulations, including the Declaration of Helsinki and Good Clinical Practice guidelines for retrospective database research. Our study was determined to be exempt from review by the Albert Einstein College of Medicine Institutional Review Board as it does not constitute human subjects research according to 45 CFR 46.104(d)(4); we also confirm that the study protocol was approved by the Albert Einstein College of Medicine Institutional Review Board with status of waiver as the same condition for both the protocol and study implementation under 45 CFR 46.104(d)(4). Also, the requirement for individual informed consent was waived as this study analyzed only de-identified data from the TriNetX Research Network, where all participating healthcare organizations have established data use agreements and appropriate patient privacy protocols in accordance with the Health Insurance Portability and Accountability Act (HIPAA) regulations. The utilized data was obtained from TriNetX platform without direct access to individual data level, the accessibility to data analysis shall be obtained from the platform directly.
IIH diagnosis was established based on ICD-10 coding (G93.2) in the TriNetX database, which follows the modified Dandy criteria including: (1) signs and symptoms of increased intracranial pressure; (2) no localizing neurological findings except abducens nerve palsy; (3) CSF opening pressureββ₯β25 cmH2O with normal CSF composition; (4) normal neuroimaging (MRI/MRV) except for empty sella turcica, optic nerve sheath distention, and smooth-walled venous sinus stenosis; and (5) no other identified cause of intracranial hypertension. The assessment of papilledema was based on documented ophthalmological examinations in the electronic health records, including fundoscopic examination findings and, where available, optical coherence tomography (OCT) measurements. Visual field defects were evaluated through documented automated perimetry results, though the specific testing protocols varied across participating institutions due to the retrospective nature of the study.
Statistical analysis
The TriNetX platform is equipped with a suite of powerful analytical tools, leveraging programming languages such as Java, R, and Python, which enabled the researchers to efficiently query and analyze the comprehensive dataset to extract meaningful insights15. All statistical analyses for the present study were conducted within the TriNetX environment using the βCompare Outcomesβ feature. To account for the potential influence of confounding factors, the researchers thoughtfully employed propensity score matching prior to the analyses. This involved a 1:1 matching approach, utilizing nearest neighbor matching without replacement and a caliper set at 0.1 times the standard deviation. TriNetXβs proprietary algorithms derive propensity scores through logistic regression, drawing upon matrices of covariates with randomized row order to enhance the robustness of the matching process. The criterion for statistical significance was set at a p-value less than 0.05. This threshold was chosen to balance the need for robust evidence while allowing for the detection of potentially meaningful effects, acknowledging the inherent complexities and nuances present in real-world data15.
Baseline demographics
Our cohort initially comprised 1,345 bariatric surgery patients and 1,705 community weight management patients, as listed in Table 1. Prior to propensity score matching, significant differences were observed between the groups across multiple variables (p < 0.00001). The bariatric surgery group was older (mean age 37.5 vs. 32.3 years) and had a higher proportion of females (90.18% vs. 83.75%). After propensity score matching, 993 patients were included in each group, resulting in well-balanced cohorts with no statistically significant differences in baseline characteristics. In the matched cohorts, mean age was comparable (35.4 vs. 35.2 years, p = 0.7374), as was the gender distribution (88.62% vs. 89.124% female, p = 0.7213). Racial and ethnic composition was similar between groups, with non-Hispanic or Latino individuals comprising the majority (73.82% vs. 74.8%, p = 0.6075). The prevalence of associated systemic diseases was also balanced post-matching, with endocrine, nutritional, and metabolic diseases being the most common in both groups (74.01% vs. 75.529%, p = 0.4383), followed by musculoskeletal (58% vs. 59.41%, p = 0.5234) and gastrointestinal disorders (54.783% vs. 55.891%, p = 0.6195).
| Variable | Before propensity score matching | -valueP | After propensity score matching | -valueP | ||
|---|---|---|---|---|---|---|
| Bariatric surgery | Community weight management | Bariatric surgery | Community weight management | |||
| Total Patients, n | 1345 | 1705 | <β0.00001 | 993 | 993 | 0.7374 |
| Mean Age (years) | 37.5 | 32.3 | <β0.00001 | 35.4 | 35.2 | 0.7374 |
| Standard Deviation | 12 | 12.4 | <β0.00001 | 10.9 | 13.1 | 0.7374 |
| Gender | ||||||
| Female, n (%) | 1213 (90.18%) | 1428 (83.75%) | <β0.00001 | 880 (88.62%) | 885 (89.124%) | 0.7213 |
| Male, n (%) | 91 (6.7%) | 188(11%) | <β0.00001 | 75 (7.5%) | 70 (7.04%) | 0.6663 |
| Unknown, n (%) | 41 (3.04%) | 89 (5.22%) | 0.0032 | 38 (3.827%) | 38 (3.827%) | 0.999 |
| Race | ||||||
| Non-Hispanic or Latino, n (%) | 977 (72.6%) | 1243 (72.9%) | 0.8709 | 733 | 743 (74.8%) | 0.6075 |
| Unknown, n (%) | 248 (18.4%) | 234 (13.7%) | 0.0004 | 142 (14.3.%) | 132 (13.293) | 0.5153 |
| Hispanic or Latino, n (%) | 120 (8.9%) | 228 (13.3%) | 0.0001 | 105 (10.57%) | 105 (10.57%) | 0.999 |
| White, n (%) | 819 (60.8%) | 1040 (60.9%) | 0.953 | 605 (60.9%) | 613 (61.732) | 0.7124 |
| Black or African American, n (%) | 234 (17.3%) | 315 (18.47%) | 0.44 | 186 (18.7%) | 190 (19.134%) | 0.8188 |
| Other Race, n (%) | 36 (2.6%) | 69 (4%) | 0.03 | 32 (3.2%) | 35 (3.5%) | 0.7093 |
| Asian, n (%) | 36 (2.6%) | 41 (2.4%) | 0.63 | 24 (2.4%) | 19 (1.9%) | 0.4408 |
| American Indian, n (%) | 10 (0.7%) | 11 (0.6%) | 0.7444 | 10 (1%) | 10 (1%) | 0.999 |
| Native Hawaiian or Other Pacific, n (%) | 10 (0.7%) | 11 (0.6%) | 0.7444 | 10 (1%) | 10 (1%) | 0.999 |
| Associated systemic diseases | ||||||
| Endocrine, nutritional and metabolic diseases, n (%) | 928 (68.9%) | 1278 (74.956%) | 0.0003 | 735 (74.01%) | 750 (75.529%) | 0.4383 |
| Diseases of musculoskeletal system, n (%) | 695 (51.673%) | 1077 (63.167%) | <β0.0001 | 576 (58%) | 590 (59.41%) | 0.5234 |
| Diseases of gastrointestinal and digestive system, n (%) | 711 (52.86%) | 908 (53.25) | 0.8292 | 544 (54.783%) | 555 (55.891%) | 0.6195 |
| Diseases of eye and adnexa, n (%) | 594 (44.16%) | 1083(63.51%) | <β0.0001 | 525 (52.87%) | 522 (52.568%) | 0.8927 |
| Diseases of respiratory system, n (%) | 605(44.98%) | 1065(62.463%) | <β0.0001 | 523 (52.669%) | 536 (53.97%) | 0.5587 |
| Diseases of circulatory system, n (%) | 329 (24.46%) | 508(29.795%) | 0.001 | 277 (27.89%) | 279 (28.097%) | 0.9204 |
Results
Outcomes analysis
Our results implicated significant differences in outcomes between bariatric surgery and community weight management groups across various follow-up periods as demonstrated in Table 2. Notably, papilledema incidence was consistently lower in the bariatric surgery group, with risk ratios ranging from 0.5 (95% CI: 0.328β0.763, p = 0.001) at three months to 0.591 (95% CI: 0.45β0.775, p = 0.0001) at 24 months. Headache prevalence also showed a generally favorable trend for the bariatric surgery group, with statistically significant reductions at 3, 12, and 24 months (RR: 0.871, 0.885, and 0.9, respectively; all p < 0.05). Interestingly, blindness rates were initially similar between groups but diverged at 12 months, with the bariatric surgery group showing a higher incidence (3.11% vs. 1.60%, RR: 1.882, 95% CI: 1.052β3.368, p = 0.0301). Visual discomfort and visual field defects were less prevalent in the bariatric surgery group, reaching statistical significance at 12 and 24 months (RR: 0.565 and 0.574, respectively; both p < 0.05). Acetazolamide use was lower in the bariatric surgery group throughout the follow-up period, with significant differences emerging at 12 and 24 months (RR: 0.815 and 0.801, respectively; both p < 0.05). Notably, no ONSF procedures were performed in the bariatric surgery group, compared to a consistent 0.97β1.01% rate in the community weight management group (p = 0.0015 at all-time points).
| Outcome | Follow-up duration | Bariatric surgery | Community weight management | Risk difference | Risk ratio | 95% confidence interval | -valueP |
|---|---|---|---|---|---|---|---|
| Papilledema | 3 months | 3.12% | 6.24% | ββ3.12% | 0.5 | 0.328β0.763 | 0.001 |
| 6 months | 5.04% | 9.32% | ββ4.29% | 0.54 | 0.392β0.744 | 0.0001 | |
| 12 months | 6.42% | 11.19% | ββ4.77% | 0.574 | 0.429β0.767 | 0.0001 | |
| 24 months | 7.29% | 12.35% | ββ5.06% | 0.591 | 0.45β0.775 | 0.0001 | |
| Increased ICP | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 1.36% | 0.97% | 0.39% | 1.4 | 0.625β3.137 | 0.4115 | |
| 24 months | 1.75% | 1.27% | 0.49% | 1.385 | 0.682β2.811 | 0.3655 | |
| Headache | 3 months | 30.60% | 35.14% | ββ4.35% | 0.871 | 0.768β0.988 | 0.03 |
| 6 months | 38.15% | 42.07% | ββ3.92% | 0.9 | 0.818β1.006 | 0.0642 | |
| 12 months | 44.16% | 49.90% | ββ5.74% | 0.885 | 0.807β0.97 | 0.0091 | |
| 24 months | 49.03% | 54.48% | ββ5.45% | 0.9 | 0.828β0.979 | 0.0135 | |
| Optic atrophy | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 0.97% | 1.46% | ββ0.49% | 0.667 | 0.301β1.477 | 0.3144 | |
| 24 months | 0.97% | 1.95% | ββ0.97% | 0.5 | 0.235β1.063 | 0.0659 | |
| Blindness | 3 months | 1.31% | 1.11% | 0.00201 | 1.18 | 0.532β2.62 | 0.68 |
| 6 months | 1.86% | 1.31% | 0.56% | 1.429 | 0.725β2.813 | 0.299 | |
| 12 months | 3.11% | 1.60% | 1.46% | 1.882 | 1.052β3.368 | 0.0301 | |
| 24 months | 3.79% | 2.43% | 1.36% | 1.56 | 0.951β2.558 | 0.0754 | |
| Pulsatile tinnitus | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 0.97% | 1.46% | ββ0.49% | 0.667 | 0.301β1.477 | 0.3144 | |
| 24 months | 0.97% | 1.84% | ββ0.88% | 0.52 | 0.246β1.126 | 0.0923 | |
| Abducent nerve palsy | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 0.97% | 0.97% | 0 | 1 | 0.418β2.392 | 0.999 | |
| 24 months | 0.97% | 0.97% | 0 | 1 | 0.418β2.392 | 0.999 | |
| Diplopia | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 1.11% | 0.93% | 0.19% | 1.2 | 0.521β2.766 | 0.6682 | |
| 12 months | 1.27% | 1.27% | 0 | 1 | 0.466β2.147 | 0.999 | |
| 24 months | 1.36% | 1.75% | ββ0.39% | 0.778 | 0.389β1.555 | 0.476 | |
| Refractory IIH | 3 months | 29.4 | 32.22 | ββ2.82% | 0.913 | 0.8β1.04 | 0.1736 |
| 6 months | 36.85% | 38.81% | ββ1.96% | 0.95 | 0.852β1.058 | 0.3497 | |
| 12 months | 42.89% | 46.40% | ββ3.50% | 0.925 | 0.84β1.018 | 0.1103 | |
| 24 months | 47.37% | 50.68% | ββ3.31% | 0.935 | 0.856β1.021 | 0.1336 | |
| Visual discomfort and visual field defects | 3 months | 1.41% | 2.11% | ββ0.71% | 0.66 | 0.341β1.304 | 0.2326 |
| 6 months | 1.68% | 2.89% | ββ1.21% | 0.581 | 0.327β1.031 | 0.0603 | |
| 12 months | 2.53% | 4.48% | ββ1.95% | 0.565 | 0.352β0.907 | 0.0164 | |
| 24 months | 3.02% | 5.25% | ββ2.24% | 0.574 | 0.372β0.885 | 0.0108 | |
| CSF leak | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 0.97% | 0.97% | 0 | 1 | 0.418β2.392 | 0.999 | |
| 24 months | 0.97% | 0.97% | 0 | 1 | 0.418β2.392 | 0.999 | |
| Therapeutic spinal puncture rate | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 1.27% | 0.97% | 0.29% | 1.3 | 0.573β2.951 | 0.5293 | |
| 24 months | 1.56% | 1.17% | 0.39% | 1.33 | 0.634β2.804 | 0.4466 | |
| CSF shunting rate | 3 months | 1.01% | 1.01% | 0 | 1 | 0.418β2.392 | 0.999 |
| 6 months | 0.93% | 0.93% | 0 | 1 | 0.418β2.393 | 0.999 | |
| 12 months | 1.16% | 0.97% | 0.20% | 1.2 | 0.521β2.765 | 0.6681 | |
| 24 months | 1.36% | 0.97% | 0.39% | 1.4 | 0.625β3.137 | 0.4115 | |
| ONSF rate | 3 months | 0% | 1.01% | ββ1.01% | N/A | N/A | 0.0015 |
| 6 months | 0% | 0.93% | ββ0.93% | N/A | N/A | 0.0015 | |
| 12 months | 0% | 0.97% | ββ0.97% | N/A | N/A | 0.0015 | |
| 24 months | 0% | 0.97% | ββ0.97% | N/A | N/A | 0.0015 | |
| Acetazolamide use | 3 months | 9.87% | 11.07% | ββ1.20% | 0.891 | 0.689β1.153 | 0.37 |
| 6 months | 11.57% | 14.27% | ββ2.52% | 0.824 | 0.661β1.026 | 0.0831 | |
| 12 months | 14.59% | 17.90% | ββ3.31% | 0.815 | 0.669β0.993 | 0.0421 | |
| 24 months | 16.05% | 20.04% | ββ3.99% | 0.801 | 0.665β0.964 | 0.0187 |
Subgroup comparison according to each bariatric procedure
Sleeve gastrectomy versus adjustable gastric banding
In comparing sleeve gastrectomy to adjustable gastric banding, our results revealed no statistically significant differences in most outcomes across the follow-up periods (Table 3). Papilledema rates were similar between the two procedures, with risk ratios ranging from 0.813 (95% CI: 0.396β1.669, p = 0.5711) at three months to 1.033 (95% CI: 0.637β1.677, p = 0.8944) at 24 months. Headache prevalence showed a slight, non-significant trend favoring adjustable gastric banding, with risk ratios consistently close to 1.0 (range: 1.014β1.096, all p > 0.05). Refractory IIH rates were comparable between groups throughout the follow-up period, with the largest difference observed at three months (RR: 1.092, 95% CI: 0.885β1.346, p = 0.41). Notably, no cases of increased intracranial pressure were reported in either group at three months, and no ONSF procedures were performed in either group throughout the study period. Acetazolamide use was initially identical between groups (9.03% at three months) but showed a non-significant trend towards lower usage in the sleeve gastrectomy group at 24 months (13.77% vs. 17.16%, RR: 0.803, 95% CI: 0.589β1.094, p = 0.1634). Interestingly, pulsatile tinnitus and abducent nerve palsy were observed exclusively in the adjustable gastric banding group at certain time points, though the overall incidence remained low (2.26β2.32%).
| Outcome | Follow-up duration | Sleeve gastrectomy | Adjustable gastric banding | Risk difference | Risk ratio | 95% confidence interval | -valueP |
|---|---|---|---|---|---|---|---|
| Papilledema | 3 months | 2.93% | 3.61% | ββ0.67% | 0.813 | 0.396β1.669 | 0.5711 |
| 6 months | 4.17% | 3.47% | 0.69% | 1.2 | 0.613β2.35 | 0.5944 | |
| 12 months | 5.42% | 5.87% | ββ0.451 | 0.923 | 0.538β1.582 | 0.7709 | |
| 24 months | 7.00% | 6.77% | 0.23% | 1.033 | 0.637β1.677 | 0.8944 | |
| Increased ICP | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| Headache | 3 months | 30.93% | 28.22% | 2.71% | 1.096 | 0.894β1.343 | 0.377 |
| 6 months | 37.04% | 35.19% | 1.85% | 1.053 | 0.881β1.257 | 0.571 | |
| 12 months | 42.89% | 41.76% | 1.13% | 1.027 | 0.881β1.198 | 0.7339 | |
| 24 months | 47.40% | 46.73% | 0.68% | 1.014 | 0.882β1.167 | 0.84 | |
| Optic Atrophy | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| Blindness | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 3.39% | ββ1.13% | 0.667 | 0.303β1.468 | 0.3104 | |
| 24 months | 2.71% | 4.29% | ββ1.58% | 0.632 | 0.31β1.285 | 0.2006 | |
| Pulsatile tinnitus | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 2.32% | ββ2.32% | N/A | N/A | 0.0015 | |
| 12 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| Abducent nerve palsy | 3 months | 0 | 2.26% | ββ2.26% | N/A | N/A | 0.0015 |
| 6 months | 0 | 2.32% | ββ2.32% | N/A | N/A | 0.0015 | |
| 12 months | 0 | 2.26% | ββ2.26% | N/A | N/A | 0.0015 | |
| 24 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| Diplopia | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 | |
| Refractory IIH | 3 months | 29.57% | 27.09% | 2.48% | 1.092 | 0.885β1.346 | 0.41 |
| 6 months | 35.88% | 33.57% | 2.32% | 1.069 | 0.89β1.284 | 0.4749 | |
| 12 months | 41.54% | 40.63% | 0.90% | 1.022 | 0.873β1.197 | 0.7847 | |
| 24 months | 46.05% | 45.15% | 0.90% | 1.02 | 0.883β1.178 | 0.7873 | |
| Visual discomfort and visual field defects | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.94% | ββ0.68% | 0.769 | 0.341β1.736 | 0.5262 | |
| 24 months | 3.16% | 3.61% | ββ0.45% | 0.875 | 0.432β1.771 | 0.7103 | |
| CSF leak | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 0.00% | 2.32% | ββ2.32% | N/A | N/A | 0.0015 | |
| 12 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| Therapeutic spinal puncture rate | 3 months | 2.26% | 2.26% | 0 | 1 | 0.42β2.379 | 0.999 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| CSF shunting rate | 3 months | 0 | 2.26% | ββ2.26% | N/A | N/A | 0.0015 |
| 6 months | 2.32% | 2.32% | 0 | 1 | 0.42β2.378 | 0.999 | |
| 12 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| 24 months | 2.26% | 2.26% | 0% | 1 | 0.42β2.379 | 0.999 | |
| ONSF rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| Acetazolamide use | 3 months | 9.029 | 9.03% | 0% | 1 | 0.658β1.519 | 0.999 |
| 6 months | 9.03% | 8.80% | 0.23% | 1.026 | 0.67β1.572 | 0.905 | |
| 12 months | 12.42% | 14.45% | ββ2.03% | 0.859 | 0.614β1.202 | 0.3752 | |
| 24 months | 13.77% | 17.16% | ββ3.39% | 0.803 | 0.589β1.094 | 0.1634 |
Roux-en-Y gastric bypass (RYGB) versus sleeve gastrectomy
Comparison of RYGB and sleeve gastrectomy revealed comparable outcomes for most measures throughout the follow-up period (Table 4). Papilledema rates were identical between groups until 24 months, where a non-significant difference emerged (5.03% vs. 5.53%, RR: 0.909, 95% CI: 0.395β2.092, p = 0.8226). Headache prevalence showed minor fluctuations, with RYGB demonstrating a non-significant trend towards higher rates at later time points (24 months: 50.25% vs. 45.73%, RR: 1.099, 95% CI: 0.895β1.349, p = 0.3665). Refractory IIH rates were similar, with the largest non-significant difference observed at six months (40.20% vs. 34.17%, RR: 1.176, 95% CI: 0.91β1.521, p = 0.2133). Notably, increased intracranial pressure was exclusively observed in the RYGB group at three months (5.03%, p = 0.0014), while CSF leak was only reported in the sleeve gastrectomy group across all time points (5.03%, p = 0.0014 for each interval). Pulsatile tinnitus occurred solely in the RYGB group at 12 and 24 months (5.03%, p = 0.0014 for both). Acetazolamide use was consistently higher in the RYGB group, reaching statistical significance at six months (17.09% vs. 10.05%, RR: 1.7, 95% CI: 1.015β2.849, p = 0.0404) and 24 months (23.12% vs. 14.07%, RR: 1.643, 95% CI: 1.072β2.517, p = 0.0204). Neither group went for CSF shunting or ONSF procedures throughout the cohortβs timeline.
| Outcome | Follow-up duration | RYGB | Sleeve gastrectomy | Risk difference | Risk ratio | 95% confidence interval | -valueP |
|---|---|---|---|---|---|---|---|
| Papilledema | 3 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 |
| 6 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.53% | ββ0.50% | 0.909 | 0.395β2.092 | 0.8226 | |
| Increased ICP | 3 months | 5.03% | 0 | 5.03% | N/A | N/A | 0.0014 |
| 6 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| Headache | 3 months | 31.16% | 33.67% | ββ2.51% | 0.925 | 0.697β1.229 | 0.5923 |
| 6 months | 41.21% | 34.67% | 6.53% | 1.188 | 0.923β1.53 | 0.1793 | |
| 12 months | 44.22% | 41.21% | 3.02% | 1.073 | 0.855β1.348 | 0.5432 | |
| 24 months | 50.25% | 45.73% | 4.52% | 1.099 | 0.895β1.349 | 0.3665 | |
| Optic atrophy | 3 months | 5.03% | 0 | 5.03% | N/A | N/A | 0.0014 |
| 6 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| Blindness | 3 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 |
| 6 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| Pulsatile tinnitus | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 5.03% | 0 | 5.03% | N/A | N/A | 0.0014 | |
| 24 months | 5.03% | 0 | 5.03% | N/A | N/A | 0.0014 | |
| Abducent nerve palsy | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| Diplopia | 3months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 |
| 6 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.03% | 0 | 1 | 0.426β2.35 | 0.999 | |
| Refractory IIH | 3 months | 30.65% | 31.66% | ββ1.01% | 0.968 | 0.723β1.297 | 0.8286 |
| 6 months | 40.20% | 34.17% | 6.03% | 1.176 | 0.91β1.521 | 0.2133 | |
| 12 months | 42.71% | 40.70% | 2.01% | 1.049 | 0.832β1.324 | 0.6843 | |
| 24 months | 48.24% | 45.23% | 3.02% | 1.067 | 0.865β1.316 | 0.5466 | |
| Visual discomfort and visual field defects | 3 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 |
| 6 months | 5.03% | 5.03% | 0.00% | 1 | 0.426β2.35 | 0.999 | |
| 12 months | 5.03% | 5.03% | 0.00% | 1 | 0.426β2.35 | 0.999 | |
| 24 months | 5.03% | 5.03% | 0.00% | 1 | 0.426β2.35 | 0.999 | |
| CSF leak | 3 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 |
| 6 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 | |
| 12 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 | |
| 24 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 | |
| Therapeutic spinal puncture rate | 3 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 |
| 6 months | 0 | 0.00% | β | N/A | N/A | N/A | |
| 12 months | 0 | 5.03% | ββ5.03% | N/A | N/A | 0.0014 | |
| 24 months | 5.03% | 5.03% | 0.00% | 1 | 0.426β2.35 | 0.999 | |
| CSF shunting rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| ONSF rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| Acetazolamide use | 3 months | 15.08% | 12.56% | 2.51% | 1.2 | 0.733β1.965 | 0.4677 |
| 6 months | 17.09% | 10.05% | 7.04% | 1.7 | 1.015β2.849 | 0.0404 | |
| 12 months | 20.10% | 13.57% | 6.53% | 1.481 | 0.948β2.316 | 0.0816 | |
| 24 months | 23.12% | 14.07% | 9.05% | 1.643 | 1.072β2.517 | 0.0204 |
RYGB versus adjustable gastric banding
The comparison of RYGB and adjustable gastric banding revealed largely comparable outcomes across most parameters (Table 5). Papilledema rates were identical between groups until 24 months, where a non-significant difference emerged (5.10% vs. 6.12%, RR: 0.833, 95% CI: 0.369β1.884, p = 0.6607). Headache prevalence showed minimal variation between the two procedures, with the largest non-significant difference observed at six months (41.84% vs. 39.80%, RR: 1.051, 95% CI: 0.828β1.334, p = 0.681). Refractory IIH rates were remarkably similar throughout the follow-up period, with risk ratios consistently close to 1.0 (range: 0.99β1.039, all p > 0.05). Notably, increased intracranial pressure was observed exclusively in the RYGB group at three and six months (5.10%, p = 0.0014 for both), while abducent nerve palsy occurred only in the adjustable gastric banding group from three to 12 months (5.10%, p = 0.0014 for each interval). Pulsatile tinnitus manifested solely in the RYGB cohort at 12 and 24 months (5.10%, p = 0.0014 for both). Therapeutic spinal puncture was performed only in the adjustable gastric banding group at six and 12 months (5.10%, p = 0.0014 for both). Acetazolamide use was consistently higher in the RYGB group across all time points, though the differences did not reach statistical significance (24 months: 22.96% vs. 20.92%, RR: 1.098, 95% CI: 0.755β1.595, p = 0.6254). Neither group reported any CSF shunting or ONSF procedures throughout the study duration.
| Outcome | Follow-up duration | RYGB | Adjustable gastric banding | Risk difference | Risk ratio | 95% confidence interval | -valueP |
|---|---|---|---|---|---|---|---|
| Papilledema | 3 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 |
| 6 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 6.12% | ββ1.02% | 0.833 | 0.369β1.884 | 0.6607 | |
| Increased ICP | 3 months | 5.10% | 0 | 5.10% | N/A | N/A | 0.0014 |
| 6 months | 5.10% | 0 | 5.10% | N/A | N/A | 0.0014 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| Headache | 3 months | 31.12% | 30.10% | 1.02% | 1.034 | 0.767β1.393 | 0.8265 |
| 6 months | 41.84% | 39.80% | 2.04% | 1.051 | 0.828β1.334 | 0.681 | |
| 12 months | 44.39% | 44.39% | 0.00% | 1 | 0.801β1.248 | 0.999 | |
| 24 months | 50.51% | 50.51% | 0.00% | 1 | 0.822β1.217 | 0.999 | |
| Optic atrophy | 3 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 |
| 6 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| Blindness | 3 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 |
| 6 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| Pulsatile tinnitus | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 5.10% | 0 | 5.10% | N/A | N/A | 0.0014 | |
| 24 months | 5.10% | 0 | 5.10% | N/A | N/A | 0.0014 | |
| Abducent nerve palsy | 3 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 |
| 6 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 | |
| 12 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| Diplopia | 3 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 |
| 6 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| Refractory IIH | 3 months | 30.61% | 30.10% | 0.51% | 1.017 | 0.753β1.373 | 0.912 |
| 6 months | 40.82% | 39.29% | 1.53% | 1.039 | 0.815β1.324 | 0.7571 | |
| 12 months | 42.86% | 42.86% | 0 | 1 | 0.796β1.257 | 0.999 | |
| 24 months | 48.47% | 48.98% | ββ0.51% | 0.99 | 0.808β1.212 | 0.9195 | |
| Visual discomfort and visual field defects | 3 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 |
| 6 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 12 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| CSF leak | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| Therapeutic spinal puncture rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 | |
| 12 months | 0 | 5.10% | ββ5.10% | N/A | N/A | 0.0014 | |
| 24 months | 5.10% | 5.10% | 0 | 1 | 0.426β2.349 | 0.999 | |
| CSF shunting rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| ONSF rate | 3 months | 0 | 0 | N/A | N/A | N/A | N/A |
| 6 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 12 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| 24 months | 0 | 0 | N/A | N/A | N/A | N/A | |
| Acetazolamide use | 3 months | 15.31% | 9.69% | 5.61% | 1.579 | 0.921β2.708 | 0.093 |
| 6 months | 16.84% | 13.27% | 3.57% | 1.269 | 0.79β2.04 | 0.3228 | |
| 12 months | 19.90% | 17.35% | 2.55% | 1.147 | 0.757β1.737 | 0.5165 | |
| 24 months | 22.96% | 20.92% | 2.04% | 1.098 | 0.755β1.595 | 0.6254 |
BMI longitudinal follow-up analysis
The results of our longitudinal analysis reveal significant differences in BMI outcomes among various weight management strategies over a 24-month follow-up period (Table 6). Bariatric surgery demonstrated superior efficacy compared to community weight management, with a mean BMI difference of -1.3 (95% CI: -2.389, -0.211; p = 0.0195) at 3 months, widening to -4.114 (95% CI: -5.060, -3.168; p < 0.0001) at 24 months. Among surgical interventions, RYGB initially showed the most substantial BMI reduction, with a mean difference of 3.703 (95% CI: 2.053, 5.353; p < 0.0001) compared to sleeve gastrectomy at three months. However, this advantage diminished over time, becoming statistically non-significant by 24 months (mean difference 0.88; 95% CI: -0.870, 2.630; p = 0.323). Sleeve Gastrectomy maintained a modest but significant advantage over adjustable gastric banding at six months (mean difference β 1.704; 95% CI: -3.046, -0.362; p = 0.013), though this difference also became non-significant by the 24-month follow-up. Notably, while all surgical interventions resulted in sustained BMI reductions over the study period, the rate of BMI decline slowed considerably after the first year post-surgery.
| Month | Bariatric surgery | Community weight management | Mean difference | 95% confidence interval | -valueP | ||
|---|---|---|---|---|---|---|---|
| Mean BMI | SD | Mean BMI | SD | ||||
| 3 months | 37.43 | 9.293 | 38.73 | 9.6 | ββ1.3 | (ββ2.389, ββ0.211) | 0.0195 |
| 6 months | 35.95 | 8.8 | 38.136 | 9.549 | ββ2.186 | (ββ3.189, ββ1.183) | <β0.0001 |
| 12 months | 34.627 | 8.64 | 38.314 | 9.516 | ββ3.687 | (ββ4.647, ββ2.727) | <β0.0001 |
| 24 months | 34.087 | 8.627 | 38.201 | 9.636 | ββ4.114 | (ββ5.060, ββ3.168) | <β0.0001 |
Safety analysis
Post-operative complications within 30 days of bariatric surgery included wound infections (3.2%), anastomotic leak (1.1%), and pulmonary complications (2.4%). No mortality was reported in the immediate post-operative period. Long-term complications included nutritional deficiencies requiring supplementation (15.7% at 12 months) and need for revisional surgery (2.8% over 24 months).
Discussion
Our study provides compelling evidence for the efficacy of bariatric surgery in managing IIH, demonstrating superior outcomes compared to conventional community weight management approaches. These findings contribute to the growing body of literature supporting surgical interventions for IIH, particularly in patients with concurrent obesity. The significantly lower incidence of papilledema in the bariatric surgery group across all follow-up periods is a key finding of our study16. The sustained reduction in papilledema rates over 24 months in our cohort suggests that bariatric surgery may offer a more durable solution for managing this critical manifestation of IIH. This is particularly noteworthy given the potential for permanent vision loss associated with chronic papilledema17.
Our results also demonstrated a consistent reduction in headache prevalence among bariatric surgery patients. This finding corroborates the Yri et al.17 evidence who reported improvements in headache severity and frequency following weight loss in IIH patients17,18. The mechanism underlying this improvement likely involves a combination of reduced intracranial pressure and alleviation of comorbid conditions associated with obesity, such as obstructive sleep apnea, which can exacerbate IIH symptoms18. Interestingly, our results demonstrated a higher incidence of blindness in the bariatric surgery group at 12 months post-intervention. This unexpected finding warrants careful interpretation. It may reflect a subset of patients with more advanced disease at baseline, who were more likely to be referred for bariatric surgery. Alternatively, it could be related to rapid weight loss following surgery, which has been associated with transient worsening of visual symptoms in some IIH patients12. This underscores the importance of close ophthalmological monitoring in the post-operative period and highlights an area for future research to elucidate the relationship between rapid weight loss and visual outcomes in IIH.
The reduced prevalence of visual discomfort and visual field defects in the bariatric surgery group at 12 and 24 months is encouraging. These findings suggest that surgical weight loss may offer more comprehensive protection against the visual sequelae of IIH compared to conventional weight management. This aligns with the work of Fridley et al.12, who reported improvements in visual acuity and visual field parameters following bariatric surgery in IIH patients12. The lower rates of acetazolamide use in the bariatric surgery group, particularly at 12 and 24 months, suggest a reduced need for pharmacological intervention post-surgery. This finding has important implications for long-term management and quality of life, given the significant side effect profile associated with acetazolamide10.
Moreover, the absence of ONSF procedures in the bariatric surgery group is noteworthy, potentially indicating a reduced need for invasive interventions to manage refractory cases. Our subgroup analysis comparing different bariatric procedures yielded several intriguing findings. The lack of significant differences in most outcomes between sleeve gastrectomy and adjustable gastric banding suggests that both procedures may be viable options for IIH management.
However, the trend towards lower acetazolamide use in the sleeve gastrectomy group at 24 months, although not statistically significant, warrants further investigation. The comparison between RYGB and sleeve gastrectomy revealed largely comparable outcomes, with some notable exceptions. The exclusive observation of increased intracranial pressure in the RYGB group at three months is intriguing and may reflect differences in the early post-operative course between these procedures. The significantly higher acetazolamide use in the RYGB group at six and 24 months is also noteworthy and merits further exploration to understand the underlying mechanisms.
Our longitudinal BMI analysis demonstrated the superior efficacy of bariatric surgery in achieving sustained weight loss compared to community weight management. This finding is consistent with large-scale studies on bariatric surgery outcomes in the general obese population19. The initial advantage of RYGB over sleeve gastrectomy in BMI reduction, which diminished over time, aligns with recent meta-analyses comparing these procedures20. The slowing of BMI decline after the first year post-surgery underscores the importance of long-term follow-up and support for bariatric patients to maintain weight loss.
It is important to note that our study did not include biliopancreatic diversion with duodenal switch (BPD/DS) or single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) procedures, as no IIH patients in the TriNetX database underwent these surgeries during our study period. This limitation reflects the relative rarity of these procedures compared to RYGB, sleeve gastrectomy, and adjustable gastric banding21. While surgical intervention carries inherent risks, the complication rates observed were acceptable and should be weighed against the potential benefits of sustained weight loss and IIH symptom improvement. A significant limitation of our study is the inability to conduct cost-effectiveness analysis, as the TriNetX platform does not provide healthcare cost data. Future studies incorporating detailed economic analysis would be valuable in comparing the long-term financial implications of bariatric surgery versus conventional management for IIH patients. This analysis should include not only direct surgical costs but also long-term expenses related to medication use, follow-up care, and management of complications.
Also, the emergence of GLP-1 receptor agonists represents a significant development in obesity management that may impact future treatment algorithms for IIH. While our study period preceded the widespread adoption of these agents, recent evidence suggests their potential role in IIH management22β26. These medications achieve significant weight loss through appetite suppression and delayed gastric emptying, potentially offering an alternative or bridge to bariatric surgery in selected patients. Future studies comparing bariatric surgery to GLP-1 agonist therapy in IIH patients will be crucial in establishing optimal treatment pathways.
Future research incorporating these more complex malabsorptive procedures could provide valuable insights into their potential role in IIH management. Our study has several strengths, including its large sample size, propensity score matching to minimize confounding, and comprehensive outcome assessment. The use of real-world data from the TriNetX network enhances the generalizability of our findings.
However, we acknowledge several limitations. First, as an observational study, we cannot establish causality. Second, the retrospective nature of our analysis may introduce selection bias, despite our efforts to mitigate this through propensity score matching. Third, the TriNetX database, while extensive, may not capture all relevant clinical details, potentially leading to underreporting of some outcomes. Moreover, our study did not account for potential differences in surgical technique or post-operative care protocols across institutions, which could influence outcomes. Additionally, we were unable to assess the impact of bariatric surgery on cerebrospinal fluid dynamics or venous sinus stenosis, both of which are implicated in IIH pathophysiology3. Future prospective studies incorporating neuroimaging and intracranial pressure monitoring could provide valuable insights into the mechanisms underlying the observed improvements. In addition to that, the reliance on ICD coding for diagnosis and outcome assessment may have led to underreporting of certain symptoms, particularly subtle changes in papilledema or visual fields. The database structure did not allow for detailed assessment of disease severity or duration at baseline, which could have influenced treatment outcomes through floor or ceiling effects. Additionally, the retrospective nature of our study meant that visual field testing and papilledema assessment were not standardized across centers, potentially affecting the reliability of these outcome measures.
Conclusions
Our findings provide new evidence supporting the efficacy of bariatric surgery in managing IIH, demonstrating superior outcomes compared to conventional weight management approaches across multiple parameters. The sustained improvements in papilledema, headache, and visual symptoms, coupled with reduced need for pharmacological and surgical interventions, suggest that bariatric surgery may offer a more definitive solution for carefully selected IIH patients with concurrent obesity. However, the unexpected finding of increased blindness rates at 12 months post-surgery underscores the need for vigilant post-operative monitoring and highlights an important area for future research. The comparable efficacy of different bariatric procedures in our study suggests that the choice of surgical technique may be tailored to individual patient factors and surgeon expertise. As the prevalence of obesity continues to rise globally, the incidence of IIH is likely to increase correspondingly. Our results contribute to the evolving paradigm of IIH management, suggesting that early consideration of bariatric surgery in appropriate candidates may improve long-term outcomes and reduce the burden of chronic medical therapy. Future studies should focus on developing evidence-based guidelines for patient selection, optimizing post-operative care protocols, and elucidating the mechanisms underlying the observed improvements in IIH symptoms following bariatric surgery.