Utility of demographic and clinical signs as diagnostic predictors for leptospiral uveitis: A retrospective study

• Published in: Indian journal of ophthalmology Vol. 72; no. 6; pp. 869 - 877
• Main Authors: Rathinam, S R, Kohila, Jeya G, Sundar, Balagiri K, Gowri, Chidambaranathan P, Vedhanayagi, Rajesh, Radhika, Manoj, Nadella, Venu
• Format: Journal Article
• Language: English
• Published: India Medknow Publications & Media Pvt. Ltd 01.06.2024; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: Adolescent; Adult; clinical diagnostic rule; clinical signs; Demography; Diagnosis; diagnostic predictors; Edema; Eye Infections, Bacterial - diagnosis; Eye Infections, Bacterial - epidemiology; Eye Infections, Bacterial - microbiology; Female; Humans; Hyperemia; Laboratory methods; Leptospira - isolation & purification; leptospiral uveitis; Leptospirosis; Leptospirosis - diagnosis; Leptospirosis - epidemiology; Male; Middle Aged; Morbidity; Original; Primary care; Retinochoroiditis; Retrospective Studies; ROC Curve; Tropical environment; Uveitis; Uveitis - diagnosis; Uveitis - epidemiology; Uveitis - microbiology; Vasculitis; Young Adult; Zoonoses
• ISSN: 0301-4738; 1998-3689; 1998-3689
• DOI: 10.4103/IJO.IJO_1376_23

Leptospirosis is a waterborne zoonotic disease prevalent in tropical regions, causing significant morbidity and mortality. It can involve any organ in its primary stage, and uveitis is its late complication. While advanced laboratory diagnosis is available only in tertiary care centers globally, a cost-effective bedside assessment of clinical signs and their scoring could offer a provisional diagnosis. To analyze the diagnostic potential of demographic and clinical signs in a large cohort of serologically confirmed leptospiral uveitis patients. In this retrospective study, demographic and clinical parameters of 876 seropositive leptospiral uveitis patients and 1042 nonleptospiral uveitis controls were studied. Multivariable logistic regression analysis with bootstrap confidence interval (CI) characterized the diagnostic predictors. The performance of the model was evaluated using the area under the receiver operating curve (AUROC). Presence of nongranulomatous uveitis (odds ratio [OR] = 6.9), hypopyon (OR = 4.6), vitreous infiltration with membranous opacities (OR = 4.3), bilateral involvement (OR = 4), panuveitis (OR = 3.3), vasculitis (OR = 1.9), disc hyperemia (OR = 1.6), absence of retinochoroiditis (OR = 15), and absence of cystoid macular edema (OR = 8.9) emerged as predictive parameters. The AUROC value was 0.86 with 95% CI of 0.846-0.874. At a cut-off score of 40, the sensitivity and specificity were 79.5 and 78.4, respectively. The study demonstrates that ocular signs can serve as diagnostic predictors for leptospiral uveitis, enabling primary care ophthalmologists to make bedside diagnosis. This can be further confirmed by laboratory methods available at tertiary care centers.