Clinical Predictors of Monkeypox Diagnosis: A Case-Control Study in a Nonendemic Region during the 2022 Outbreak

Author:

De la Herrán-Arita Alberto Kousuke1ORCID,González-Galindo Cuitláhuac2,Inzunza-Leyva Gerardo Kenny3,Valdez-Flores Marco Antonio1,Norzagaray-Valenzuela Claudia Desiree4,Camacho-Zamora Alejandro1,Batiz-Beltrán José Candelario15,Urrea-Ramírez Francisco Javier15,Romero-Utrilla Alejandra6,Angulo-Rojo Carla17,Guadrón-Llanos Alma Marlene18,Picos-Cárdenas Verónica Judith1,Camberos-Barraza Josué1,Rábago-Monzón Ángel Radamés1,Osuna-Ramos Juan Fidel1ORCID

Affiliation:

1. Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán Rosales 80019, Sinaloa, Mexico

2. Secretaría de Salud de Sinaloa, Culiacán Rosales 80020, Sinaloa, Mexico

3. Dirección de Prevención y Promoción de la Salud, Secretaría de Salud de Sinaloa, Culiacán Rosales 80020, Sinaloa, Mexico

4. Unidad de Investigación, Facultad de Biología, Universidad Autónoma de Sinaloa, Culiacán Rosales 80040, Sinaloa, Mexico

5. Hospital Regional Dr. Manuel Cárdenas de la Vega, ISSSTE, Culiacán Rosales 80230, Sinaloa, Mexico

6. Departamento de Anatomía Patológica, Instituto Mexicano del Seguro Social, Culiacán Rosales 80230, Sinaloa, Mexico

7. Maestría en Ciencias en Biomedicina Molecular, Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán Rosales 80019, Sinaloa, Mexico

8. Doctorado en Ciencias en Biomedicina Molecular, Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán Rosales 80019, Sinaloa, Mexico

Abstract

Monkeypox (Mpox) is an emerging zoonotic disease with the potential for severe complications. Early identification and diagnosis are essential to prompt treatment, control its spread, and reduce the risk of human-to-human transmission. This study aimed to develop a clinical diagnostic tool and describe the clinical and sociodemographic features of 19 PCR-confirmed Mpox cases during an outbreak in a nonendemic region of northwestern Mexico. The median age of patients was 35 years, and most were male. Mpox-positive patients commonly reported symptoms such as fever, lumbago, and asthenia, in addition to experiencing painful ulcers and a high frequency of HIV infection among people living with HIV (PLWH). Two diagnostic models using logistic regression were devised, with the best model exhibiting a prediction accuracy of 0.92 (95% CI: 0.8–1), a sensitivity of 0.86, and a specificity of 0.93. The high predictive values and accuracy of the top-performing model highlight its potential to significantly improve early Mpox diagnosis and treatment in clinical settings, aiding in the control of future outbreaks.

Funder

PAIPC

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

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