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A prediction model of risk factors for complications among SARS-CoV2 positive patients: Cases from Jordan.
Odeh, Mohanad M; Al Qaissieh, Rami; Tarifi, Amjed A; Kilani, Muna M; Tadros, Ramzy E; Al Khashman, Abedrazzaq I; Alzoubi, Karem H.
  • Odeh MM; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan. Electronic address: mohanad_odeh@hu.edu.jo.
  • Al Qaissieh R; Department of General and Special Surgery, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
  • Tarifi AA; Department of General and Special Surgery, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
  • Kilani MM; Department of Pediatrics, Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
  • Tadros RE; Internal Medicine Unit, Prince Hamza Hospital, Amman, Jordan.
  • Al Khashman AI; Internal Medicine Unit, Prince Hamza Hospital, Amman, Jordan.
  • Alzoubi KH; Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan; Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
J Infect Public Health ; 14(6): 689-695, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1118563
ABSTRACT

BACKGROUND:

The number of COVID-19 infected patients has been soaring in the Middle East countries. The disease poses a significant threat, decisions about prioritizing care should be made in accordance with the proven risk factors for complications.

OBJECTIVE:

The present study provides the first bespoke prediction model in the Middle East to identify COVID-19 patients, who are at higher risk for complications.

METHOD:

A case-control study design was adopted to compare the characteristics of successfully recovered patients with those who had complications. Complications were defined as admission to the intensive care unit, mechanical ventilation, sepsis or septic shock, pneumonia or respiratory failure, and death. The prediction model was created through multivariable logistic regression. Overall statistical significance tests for the model were carried out.

RESULTS:

All COVID-19 infected hospitalized patients (n = 133) in Amman - Jordan were included in the study. Successfully recovered were 125 patients. The median age (IRQ) was 26 (10-40). Almost 30% were >40 years. Patients with complications were eight patients, age 63 (51.5-71.5). The prediction model identified the following variables as risk factors diabetes (OR = 59.7; 95% CI 3.5-1011.5, p = 0.005), fever (OR = 24.8; 95% CI 1.4-447.3, p = 0.029), SHORTNESS OF BREATH (OR = 15.9; 95% CI 1.3-189.7, p = 0.029), body mass index (OR = 0.74; 95% CI 0.61-0.88, p = 0.001), abnormal Neutrophils (OR = 16.8; 95% CI 1.0-292.0, p = 0.053). Prediction model was statistically significant, χ2(5) = 86.1, p < 0.0005.

CONCLUSIONS:

Unlike reports from China, the most influential variables that led to disease progression in Jordanian patients were diabetes, fever, shortness of breath, body mass index, and abnormal neutrophils. Similar to reports from the USA, smoking was not a leading factor for complications. Comorbidities and patient health status, rather than age, were the primary risk factors for complications. Treatment with Hydroxychloroquine showed no protective effect.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans / Middle aged Country/Region as subject: Asia Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA, Viral / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans / Middle aged Country/Region as subject: Asia Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2021 Document Type: Article