Estimation of Survival Probability of Patients with COVID-19 Based on Information of Patients.

Mehdi Kazempour Dizaji, Mohammad Varahram, Ali Zare, Arda Kiani, Niloufar Alizadeh Kolahdozi, Atefe Abedini, Rahim Roozbahani, Payam Tabarsi

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Article in Tanaffos, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Mehdi Kazempour DizajiMycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammad VarahramMycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Ali ZareDepartment of Biostatistics, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Arda KianiTracheal Diseases Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Niloufar Alizadeh KolahdoziDepartment of Biostatistics, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Atefe AbediniChronic Respiratory Diseasesr Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Rahim RoozbahaniClinical Tuberculosis and Epidemiology Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Payam TabarsiClinical Tuberculosis and Epidemiology Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In medical science, the probability of survival is a crucial index used to assess patient outcomes. This study aims to estimate the survival probability of patients diagnosed with COVID-19. Materials and Methods: In a historical cohort study, the Kaplan-Meier method was used to assess the survival probability of 4,372 COVID-19 patients treated at Dr. Masih Daneshvari Hospital in Tehran during the pandemic. Results: The study results indicated that 199 patients (4.6%) died during the treatment, while 4,173 patients (95.4%) were censored. The daily survival probability estimation for COVID-19 patients revealed that the highest and lowest survival probabilities within 100 days from disease onset were 96% and 55%, respectively. Additionally, the survival probabilities on the 20th, 50th, 70th, and 90th days from the onset of disease and treatment were 92%, 70%, 63%, and 61%, respectively Conclusion: Estimating the survival probability of COVID-19 patients offers clinicians valuable insights into mortality rates and the effectiveness of common therapeutic strategies in treating the disease.

Indexed as

COVID-19 diseaseKaplan-Meier methodMortality rateProbability of survival

Identifiers

PMID40704350

PMCPMC12281341

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