Your browser doesn't support javascript.
Clinical characteristics and outcome of Covid-19 illness and predictors of in-hospital mortality in Saudi Arabia.
Abolfotouh, Mostafa A; Musattat, Abrar; Alanazi, Maha; Alghnam, Suliman; Bosaeed, Mohammad.
  • Abolfotouh MA; King Abdullah International Medical Research Center, Mail Code 3533, Riyadh, Saudi Arabia. mabolfotouh@gmail.com.
  • Musattat A; King Saud Bin-Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia. mabolfotouh@gmail.com.
  • Alanazi M; King Abdulaziz Medical City, Ministry of National Guard-Health Affairs, POB 22490, Riyadh, 11426, Saudi Arabia. mabolfotouh@gmail.com.
  • Alghnam S; King Abdullah International Medical Research Center, Mail Code 3533, Riyadh, Saudi Arabia.
  • Bosaeed M; King Abdullah International Medical Research Center, Mail Code 3533, Riyadh, Saudi Arabia.
BMC Infect Dis ; 22(1): 950, 2022 Dec 17.
Article in English | MEDLINE | ID: covidwho-2196085
ABSTRACT

BACKGROUND:

Patients' race and ethnicity may play a role in mortality from Covid-19. Studies in China, the US, and Europe have been conducted on the predictors of Covid-19 mortality, yet in the EMR countries, such studies are scarce. Therefore, we aimed to describe the hospitalization rate, ICU-admission, and in-hospital mortality of Covid-19 and predictors of in-hospital mortality in Saudi Arabia.

METHODS:

E-medical records were examined for all Covid-19 patients diagnosed in five tertiary hospitals affiliated with the Saudi-National Guard-Health Affairs during March 21, 2020, and September 12, 2021, based on a positive SARS-CoV-2 RT-PCR test, (n = 35,284). Data were collected on patients' characteristics, comorbidities, laboratory findings, hospitalization, ICU admission, and in-hospital and overall mortality. Logestic regressions were used to identify the independent predictors of in-hospital mortality. The best laboratory parameters cut-off values to predict in-hospital mortality were identified using the area under the receiver operating characteristic curve (AUC). Significance was considered at p < 0.05.

RESULTS:

Of all 35,284 Covid-19 patients, 81.8% were adults and 21.7% were hospitalized. Compared to non-hospitalized patients, hospitalized patients were more of female gender (52.1% versus 47.3%, p < 0.001) and had higher mean age (p < 0.001), higher mean BMI (p < 0.001), and higher rates of diabetes (p < 0.001), hypertension (p < 0.001), ischemic heart disease (p < 0.001), cancer (p < 0.001), COPD (p < 0.001) and asthma (p = 0.011). The study showed 3.1% overall case-fatality, 20.3% ICU admission rate, and 9.7% in-hospital mortality. Predictors of in-hospital mortality among adult patients were; patients' age ≥ 70 years (OR = 6.93, 95% CI 1.94-24.79), ischemic heart disease (OR = 1.80, 95% CI 1.05-3.09), ICU admission (OR = 24.38, 95% CI 15.64-38.01), abnormal C-reactive protein "CRP" (OR = 1.85, 95% CI 1.08-3.16), abnormal D-dimer (OR = 1.96, 95% CI 1.15-3.36), lymphopenia (OR = 2.76, 95% CI 2.03-3.3.76), high neutrophil count (OR = 2.10, 95% CI 1.54-2.87), and abnormal procalcitonin (OR = 3.33, 95% CI 1.88-5.90). The best laboratory parameters cut-off values to predict in-hospital mortality were CRP > 72.25 mg/L (AUC = 0.64), D-dimer > 1125 µg/L (AUC = 0.75), neutrophils count > 5,745 × 10^9/L (AUC = 0.70), lymphocytic count < 1.10 × 10^9/L (AUC = 0.72), and procalcitonin > 0.18 ng/mL (AUC = 0.76).

CONCLUSIONS:

Rates of hospitalization, ICU-admission, in-hospital mortality and overall case fatality were nearly comparable to the rates in western countries. Early interventions are necessary for high-risk Covid-19 patients, especially elderly patients and those with cardiac diseases.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Myocardial Ischemia / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Aged / Female / Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07945-8

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Myocardial Ischemia / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Aged / Female / Humans Country/Region as subject: Asia Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: S12879-022-07945-8