Anteneh Ali B, Asfaw Zeytu Gashaw
Department of Statistics, Hawassa University, Hawassa, Ethiopia.
Department of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
BMC Public Health. 2025 Jan 7;25(1):74. doi: 10.1186/s12889-024-21229-7.
The 2019 COVID-19 pandemic had a global impact, leading to numerous deaths, long recovery times, and economic challenges worldwide, especially in countries with limited financial resources like Ethiopia. In Ethiopia, Hawassa lacks viral shedding information. Identifying predictors can help ease economic impact of illness.Therefore, this research aimed to examine the demographics, clinical features, and recovery time of COVID-19 patients, as well as determine predictive markers for severe adverse outcomes.
Study at Hawassa University Comprehensive Speciality Hospital COVID-19 quarantine and therapy facility in Ethiopia (Sep 24, 2020 - Nov 26, 2021) with 804 patients. Extracted clinical, epidemiological, demographic info from medical records. Researchers used statistical tests like T tests, Chi-square tests, and Fisher's exact tests to analyze relationships between variables. They also used a Cox PH model to identify risk factors for COVID-19 patient recovery time. Significance level was set at 0.05 for all analyses.
Out of 804 COVID-19 patients, 74% recovered at an average age of 44.8 years, with 64.1% being male. Severe and critical cases were 24.1% and 21.4% of the population, respectively, with only 16.0% of critical cases and 19.5% of severe cases recovering. Average length of stay was 12.3 days. 88.4% of recovered patients had symptoms, with chest pain (66.7%), cough (64.4%), shortness of breath (59.2%), and fever (57.1%) being common. Nearly half had comorbidities, with diabetes (15.9%) and hypertension (15.2%) prevalent. Male patients had higher recovery rates, while severe/critical patients had lower rates. Patients over 39 age category had lower recovery chance. Existence of at least one comorbidities, diabetes, fever, and hypertension impacted recovery. Fever with gender and shortness of breath affected recovery. Assumptions were met with no multicollinearity.
Recent studies found that about 95% of COVID-19 patients recover within 30 days, with a median of 12 days. Severe cases, elderly, and those with comorbidities may take longer to recover. By effectively managing hypertension and diabetes, individuals can improve their prognosis and facilitate a quicker recovery. Public health concerns persist regarding COVID-19, especially for comorbidities like diabetic and hypertension. Early detection of fever and treatment of hypertension may expedite recovery.
2019年新冠疫情产生了全球影响,导致大量死亡、漫长的康复时间以及全球范围内的经济挑战,在像埃塞俄比亚这样财政资源有限的国家尤为如此。在埃塞俄比亚,哈瓦萨缺乏病毒 shedding 信息。识别预测因素有助于减轻疾病的经济影响。因此,本研究旨在检查新冠患者的人口统计学特征、临床特征和康复时间,以及确定严重不良结局的预测标志物。
在埃塞俄比亚哈瓦萨大学综合专科医院新冠隔离与治疗设施进行研究(2020年9月24日至2021年11月26日),涉及804名患者。从病历中提取临床、流行病学、人口统计学信息。研究人员使用t检验、卡方检验和费舍尔精确检验等统计测试来分析变量之间的关系。他们还使用Cox PH模型来识别新冠患者康复时间的风险因素。所有分析的显著性水平设定为0.05。
在804名新冠患者中,74%康复,平均年龄为44.8岁,其中64.1%为男性。重症和危重症病例分别占总人数的24.1%和21.4%,危重症病例仅有16.0%康复,重症病例有19.5%康复。平均住院时间为12.3天。88.4%的康复患者有症状,常见的有胸痛(66.7%)、咳嗽(64.4%)、呼吸急促(59.2%)和发热(57.1%)。近一半患者有合并症,糖尿病(15.9%)和高血压(15.2%)较为普遍。男性患者康复率较高,而重症/危重症患者康复率较低。39岁以上年龄组的患者康复机会较低。至少存在一种合并症、糖尿病、发热和高血压会影响康复。发热与性别以及呼吸急促会影响康复。满足无多重共线性的假设。
近期研究发现,约95%的新冠患者在30天内康复,中位数为12天。重症病例、老年人和有合并症的患者可能需要更长时间康复。通过有效管理高血压和糖尿病,个人可以改善预后并促进更快康复。对于新冠,尤其是糖尿病和高血压等合并症,公共卫生问题仍然存在。早期发现发热并治疗高血压可能会加快康复。