Snakebite though neglected, affects 5 million people yearly. More neglected is the psychological effect of envenomation. We determined prevalence and pattern of depression among patients admitted into snakebite wards of Kaltungo General Hospital Nigeria, and percentage recognized by clinicians. We also assessed for factors associated with depression. In a descriptive hospital based study, we used Patient Health questionnaire (PHQ-9) to make diagnosis of depression among the patients. We reviewed patients’ clinical records to determine clinicians’ recognition of depression. Of 187 interviews analyzed, 47 (25%) had depression with none recognized by attending clinicians. Patients with snakebite complications (odd ratio [OR] 3.1, 95% CI 1.1–8.5), and previous history of snakebites (OR 2.7, 95% CI 1.1–6.1) were associated with mild depression. Worrying about family welfare (OR 31.5, 95% CI 6.5–152.9), financial loss (OR 14.6, 95% CI 1.8–121.5) and time loss (OR 14.6, 95% CI 1.8–121.5), past history of snakebites (OR 8.3, 95% CI 1.9–36.5) and lower income (Mean difference −25,069 [84 USD], 95% CI 35,509 [118 USD]–14,630 [49 USD]) were associated with severe depression. A quarter of in-patients of snakebite wards of the general hospital had comorbid depression that went unrecognized. Independent predictors of depression such as past history of snakebite, worrying about relations and having snakebite complications could help clinicians anticipate depression among patients. We recommend training of clinicians in the hospital on recognition of common psychological disorders like depression.

The Snakebite Treatment and Research Hospital (SBTRH) is a leading centre for snakebite envenoming care and research in sub-Saharan Africa, treating over 2500 snakebite patients annually. Despite routine data collection, routine analyses are seldom conducted to identify trends or guide clinical practices. This study retrospectively analyzes 1022 snakebite cases at SBTRH from January to June 2024. Most patients were adults (62%) and were predominantly male (72%). Key factors such as age, sex, and time between bite and hospital presentation were associated with outcomes, including recovery, amputation, debridement, and death. Adult males who took more than four hours to arrive to hospital were identified as a high-risk group for poor outcomes. Using patient characteristics, an XGBoost model was developed and was compared to Random Forest and logistic regression models. In general, all models had high positive predictive value and low sensitivity, meaning that if they predicted a patient to experience amputation, debridement, or death, that patient almost always actually experienced amputation, debridement, or death; however, most models rarely made this prediction. The XGBoost model with all features was optimal, given that it had both a high positive predictive value and relatively high sensitivity. This may be of significance to resource-limited settings like SBTRH, where antivenoms can be scarce; however, more research is needed to build better predictive models. These findings underscore the need for targeted interventions for high-risk groups, and further research and integration of machine-learning-driven decision support tools in low-resource-limited clinical settings.

In an open randomized controlled trial, we compared one vial (10 mL) to two vials (20 mL) of EchiTAb-plus-ICP (EPI) antivenom among children with systemic carpet viper (Echis romani) envenoming of moderate severity in northeastern Nigeria. Systemic envenoming, presenting with incoagulable blood, was diagnosed using the 20-minute whole blood clotting test (20WBCT). Eligible patients with positive 20WBCT whose guardians assented were recruited and randomly allocated to receive either one vial or two vials of EPI administered either as a bolus or as a slow continuous infusion. The primary outcome was permanent restoration of blood coagulability 6 hours after the start of treatment, assessed by the 20WBCT and repeated at 6, 12, 24, and 48 hours after treatment. Secondary outcomes were the incidences of early adverse reactions to antivenom treatment. Initial doses permanently restored blood coagulability at 6 hours in 34/39 (87.2%) of those treated with one vial and 39/41 (95.1%) of those treated with two vials of EPI (P = 0.258). However, the proportion with permanent restoration of clotting at 6 hours among patients randomized to bolus administration was 41 of 42 (97.6%) patients compared with 32 of 38 (84.2%) patients randomized to slow infusion of EPI antivenom (P = 0.049); however, the difference was not sustained through the remaining time points. There was no difference in early adverse reactions between those treated with the two different doses or modes of delivery. We conclude that the one-vial dose compared favorably to two vials of EPI antivenom with regards to effectiveness and safety among children with carpet viper envenoming of moderate severity in Nigeria.

The Snakebite Treatment and Research Hospital (SBTRH) is a leading center for snakebite envenoming care and research in sub-Saharan Africa, treating over 2,500 snakebite patients annually. Despite routine data collection, routine analyses are seldom conducted to identify trends or guide clinical practices. This study retrospectively analyzed 1,022 snakebite cases at SBTRH from January to June 2024. Most patients were adults (62%) and were predominantly male (72%). Key factors such as age, sex, and time between bite and hospital presentation were associated with outcomes, including recovery, amputation, debridement, and death. Adult males who took more than four hours to arrive to hospital were identified as a high-risk group for poor outcomes. Using patient characteristics, an XGBoost model was developed, which achieved an area under the received-operator curve (AUROC) of 0.484 with all patient characteristics, and 0.529 when using a simplified subset of characteristics. Model performance was compared to random-forest and logistic regression models. In general, for all models, performance tended to increase slightly when using a simplified set of features, which may be of significance to resource-limited settings like SBTRH, however, more research is needed to build more robust models. These findings underscore the need for targeted interventions for high-risk groups, optimization of antivenom administration strategies and integration of machine learning-driven decision support tools in low-resource-limited clinical settings.