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Predicting mortality risk in hospitalized COVID-19 patients: an early model utilizing clinical symptoms.
Hai, Cong Nguyen; Duc, Thanh Bui; Minh, The Nguyen; Quang, Lich Ngo; Tung, Son Luong Cao; Duc, Loi Trinh; Duong-Quy, Sy.
Afiliação
  • Hai CN; Department of Tuberculosis and Respiratory Pathology, Military Hospital 175, Ho Chi Minh City, Vietnam. nguyen_med@ymail.com.
  • Duc TB; Military Hospital 175, Ho Chi Minh City, Vietnam.
  • Minh TN; Department of Tuberculosis and Respiratory Pathology, Military Hospital 175, Ho Chi Minh City, Vietnam.
  • Quang LN; Department of Tuberculosis and Respiratory Pathology, Military Hospital 175, Ho Chi Minh City, Vietnam.
  • Tung SLC; Department of Tuberculosis and Respiratory Pathology, Military Hospital 175, Ho Chi Minh City, Vietnam.
  • Duc LT; Department of Tuberculosis and Respiratory Pathology, Military Hospital 175, Ho Chi Minh City, Vietnam.
  • Duong-Quy S; Clinical Research Unit, Lam Dong Medical College and Bio-Medical Research Centre, Dalat City, Vietnam.
BMC Pulm Med ; 24(1): 24, 2024 Jan 10.
Article em En | MEDLINE | ID: mdl-38200490
ABSTRACT

BACKGROUND:

Despite global efforts to control the COVID-19 pandemic, the emergence of new viral strains continues to pose a significant threat. Accurate patient stratification, optimized resource allocation, and appropriate treatment are crucial in managing COVID-19 cases. To address this, a simple and accurate prognostic tool capable of rapidly identifying individuals at high risk of mortality is urgently needed. Early prognosis facilitates predicting treatment outcomes and enables effective patient management. The aim of this study was to develop an early predictive model for assessing mortality risk in hospitalized COVID-19 patients, utilizing baseline clinical factors.

METHODS:

We conducted a descriptive cross-sectional study involving a cohort of 375 COVID-19 patients admitted and treated at the COVID-19 Patient Treatment Center in Military Hospital 175 from October 2021 to December 2022.

RESULTS:

Among the 375 patients, 246 and 129 patients were categorized into the survival and mortality groups, respectively. Our findings revealed six clinical factors that demonstrated independent predictive value for mortality in COVID-19 patients. These factors included age greater than 50 years, presence of multiple underlying diseases, dyspnea, acute confusion, saturation of peripheral oxygen below 94%, and oxygen demand exceeding 5 L per minute. We integrated these factors to develop the Military Hospital 175 scale (MH175), a prognostic scale demonstrating significant discriminatory ability with an area under the curve (AUC) of 0.87. The optimal cutoff value for predicting mortality risk using the MH175 score was determined to be ≥ 3 points, resulting in a sensitivity of 96.1%, specificity of 63.4%, positive predictive value of 58%, and negative predictive value of 96.9%.

CONCLUSIONS:

The MH175 scale demonstrated a robust predictive capacity for assessing mortality risk in patients with COVID-19. Implementation of the MH175 scale in clinical settings can aid in patient stratification and facilitate the application of appropriate treatment strategies, ultimately reducing the risk of death. Therefore, the utilization of the MH175 scale holds significant potential to improve clinical outcomes in COVID-19 patients. TRIAL REGISTRATION An independent ethics committee approved the study (Research Ethics Committee of Military Hospital 175 (No. 3598GCN-HDDD; date October 8, 2021), which was performed in accordance with the Declaration of Helsinki, Guidelines for Good Clinical Practice.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: BMC Pulm Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Vietnã

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: BMC Pulm Med Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Vietnã