| Literature DB >> 35242213 |
Atif Asghar1, Majid Bamaga1, Asim Khogeer2, Ibrahim Abd El-Rahim1, Bassam Mashat1, Hamza Assaggaf3, Omar Ahmed1.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) is continuing to circulate and change, affecting billions of people worldwide and leading to increased mortality rates, especially in the Holy City of Makkah, Kingdom of Saudi Arabia (KSA). This study was aimed at investigating the epidemiological features of COVID-19 in Makkah City, KSA.Entities:
Mesh:
Year: 2022 PMID: 35242213 PMCID: PMC8886693 DOI: 10.1155/2022/8301490
Source DB: PubMed Journal: Comput Math Methods Med ISSN: 1748-670X Impact factor: 2.238
Demographical characteristics and frequency of COVID-19 patients (n = 4,742).
| Variable | Frequency ( | Percent (%) |
|---|---|---|
|
| ||
| King Abdulaziz Hospital | 552 | 11.6 |
| King Faisal Hospital | 301 | 6.3 |
| Heraa General Hospital | 431 | 9.1 |
| Maternity Hospital | 151 | 3.3 |
| Al-Noor Specialist Hospital | 3,307 | 69.7 |
|
| ||
| ICU | 961 | 20.3 |
| Non-ICU | 3,781 | 79.7 |
|
| ||
| Male | 3,162 | 66.7 |
| Female | 1,580 | 33.3 |
|
| ||
| <20 | 205 | 4.3 |
| 21-30 | 404 | 8.5 |
| 31-40 | 890 | 18.8 |
| 41-50 | 1,012 | 21.3 |
| 51-60 | 1,034 | 21.8 |
| >60 | 1,197 | 25.2 |
|
| ||
| Saudi | 1,743 | 36.8 |
| Myanmar | 698 | 14.7 |
| Bangladesh | 447 | 9.4 |
| Pakistan | 380 | 8.0 |
| Egypt | 358 | 7.5 |
| Yemen | 302 | 6.4 |
| India | 223 | 4.7 |
| Syria | 70 | 1.5 |
| Afghanistan | 65 | 1.4 |
| Nigeria | 62 | 1.3 |
| Sudan | 57 | 1.2 |
| Indonesia | 58 | 1.2 |
| Other | 279 | 5.9 |
|
| ||
| <18.5 (underweight) | 48 | 1.0 |
| 18.5–25 (normal) | 544 | 11.5 |
| 25–30 (overweight) | 437 | 9.2 |
| >30 (obese) | 207 | 4.4 |
|
| ||
| Dead | 552 | 11.6 |
| Discharged | 3,401 | 71.7 |
| Still admitted | 789 | 16.6 |
|
| ||
| Yes | 455 | 9.6 |
| No | 4,287 | 90.4 |
|
| ||
| Yes | 328 | 6.9 |
| No | 4,414 | 93.1 |
|
| ||
| Yes | 51 | 1.1 |
| No | 4,691 | 98.9 |
|
| ||
| Yes | 102 | 2.2 |
| No | 4,640 | 97.8 |
| LOSh (in Hospital) (median, IQR) (days) | 4 (2-8) | |
| LOSi (in ICU) (median, IQR) (days) | 4 (2-9) | |
ICU: intensive care unit; BMI: body mass index; LOS: length of stay; IQR: interquartile range; Other chronic diseases: arthritis, asthma, back pain, cancer, chronic kidney disease, etc.; Heart diseases: coronary heart disease, cerebrovascular disease, peripheral arterial disease, rheumatic heart disease, congenital heart disease, and deep vein thrombosis.
Figure 1Demographical characteristics and health conditions for COVID-19 patients.
Association between COVID-19 severity, LOS, and mortality with demographic variables.
| Variables | ICU admission (severity) | LOSh | Death rate (mortality) |
|---|---|---|---|
|
|
|
| |
| Gender | 0.21 | 0.78 | ≤0.001 |
| Age | ≤0.001 | ≤0.001 | ≤0.001 |
| Nationality | ≤0.001 | ≤0.001 | ≤0.001 |
| Body mass index | ≤0.001 | ≤0.05 | ≤0.001 |
| ICU admission (severity) | — | ≤0.001 | ≤0.001 |
| Death rate (mortality) | 0.001 | ≤0.001 | — |
| Diabetes | 0.21 | ≤0.001 | ≤0.001 |
| Hypertension | 0.28 | ≤0.001 | ≤0.001 |
| Heart diseases | ≤0.05 | 0.33 | ≤0.001 |
| Length of stay in hospital | ≤0.001 | — | ≤0.001 |