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Utility of demographic and clinical signs as diagnostic predictors for leptospiral uveitis: A retrospective study.
Rathinam, S R; Kohila, Jeya G; Sundar, Balagiri K; Gowri, Chidambaranathan P; Vedhanayagi, Rajesh; Radhika, Manoj; Nadella, Venu.
Afiliação
  • Rathinam SR; Uveitis Service, Aravind Eye Hospital and PG Institute of Ophthalmology, Anna Nagar, Madurai, Tamil Nadu, India.
  • Kohila JG; Department of Biostatistics, Aravind Eye Hospital and PG Institute of Ophthalmology, Anna Nagar, Madurai, Tamil Nadu, India.
  • Sundar BK; Department of Immunology, Aravind Medical Research Foundation, Anna Nagar, Madurai, Tamil Nadu, India.
  • Gowri CP; Department of Immunology, Aravind Medical Research Foundation, Anna Nagar, Madurai, Tamil Nadu, India.
  • Vedhanayagi R; Department of Immunology, Aravind Medical Research Foundation, Anna Nagar, Madurai, Tamil Nadu, India.
  • Radhika M; Department of Immunology, Aravind Medical Research Foundation, Anna Nagar, Madurai, Tamil Nadu, India.
  • Nadella V; Amaravati Hospital, Vijayawada, Andhra Pradesh, India.
Indian J Ophthalmol ; 72(6): 869-877, 2024 Jun 01.
Article em En | MEDLINE | ID: mdl-38804803
ABSTRACT

PURPOSE:

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.

AIM:

To analyze the diagnostic potential of demographic and clinical signs in a large cohort of serologically confirmed leptospiral uveitis patients.

METHODS:

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).

RESULTS:

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.

CONCLUSION:

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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Uveíte / Infecções Oculares Bacterianas / Leptospira / Leptospirose Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Indian J Ophthalmol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Uveíte / Infecções Oculares Bacterianas / Leptospira / Leptospirose Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Indian J Ophthalmol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia