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Predictors of mortality among inpatients with COVID-19 infection in a tertiary referral center in the Philippines.
Malundo, Anna Flor G; Abad, Cybele Lara R; Salamat, Maria Sonia S; Sandejas, Joanne Carmela M; Poblete, Jonnel B; Planta, Jose Eladio G; Morales, Shayne Julieane L; Gabunada, Ron Rafael W; Evasan, Agnes Lorrainne M; Cañal, Johanna Patricia A; Santos, Julian A; Manto, Jeffrey T; Mercado, Maria Elizabeth P; Rojo, Raniv D; Ornos, Eric David B; Alejandria, Marissa M.
  • Malundo AFG; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Taft Avenue, Ermita, Manila, National Capital Region, Philippines.
  • Abad CLR; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Salamat MSS; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Sandejas JCM; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Poblete JB; Department of Medicine, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Planta JEG; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Morales SJL; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Gabunada RRW; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Evasan ALM; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Cañal JPA; Department of Radiology, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Santos JA; Department of Radiology, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Manto JT; Department of Radiology, University of the Philippines - Philippine General Hospital, Manila, Philippines.
  • Mercado MEP; Department of Clinical Epidemiology, Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines.
  • Rojo RD; College of Medicine, University of the Philippines, Manila, Philippines.
  • Ornos EDB; College of Medicine, University of the Philippines, Manila, Philippines.
  • Alejandria MM; Division of Infectious Diseases, University of the Philippines - Philippine General Hospital, Manila, Philippines.
IJID Reg ; 4: 134-142, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35854825
ABSTRACT

Objectives:

The aim of this study was to determine the predictors of mortality and describe laboratory trends among adults with confirmed COVID-19.

Methods:

The medical records of adult patients admitted to a referral hospital with COVID-19 were retrospectively reviewed. Demographic and clinical characteristics, and laboratory parameters, were compared between survivors and non-survivors. Predictors of mortality were determined by multivariate analysis. Mean laboratory values were plotted across illness duration.

Results:

Of 1215 patients, 203 (16.7%) had mild, 488 (40.2%) moderate, 183 (15.1%) severe, and 341 (28.1%) critical COVID-19 on admission. In-hospital mortality was 18.2% (0% mild, 6.1% moderate, 15.8% severe, 47.5% critical). Predictors of mortality were age ≥ 60 years, COPD, qSOFA score ≥ 2, WBC > 10 × 109/L, absolute lymphocyte count < 1000, neutrophil ≥ 70%, PaO2/FiO2 ratio ≤ 200, eGFR < 90 mL/min/1.73 m2, LDH > 600 U/L, and CRP > 12 mg/L. Non-survivors exhibited an increase in LDH and decreases in PaO2/FiO2 ratio and eGFR during the 2nd-3rd week of illness.

Conclusion:

The overall mortality rate was high. Predictors of mortality were similar to those of other reports globally. Marked inflammation and worsening pulmonary and renal function were evident among non-survivors by the 2nd-3rd week of illness.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article