Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study

Lv, Zhengtong; Lv, Shubin

doi:10.7150/ijbs.50654

Cited by 39 publications

(48 citation statements)

References 31 publications

(47 reference statements)

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“…Overall, age correlated with severity. This nding is consistent with the literature that old age is associated with the progression of COVID-19 and is an independent risk factor for progression [20] and that advanced age is a risk factor for a worse outcome in association with higher death rates. [16][17][18][19] Approximately 65.73% of the patients in this COVID-19 cohort had one or more comorbidities, and 37.85% had two or more.…”

Section: Discussionsupporting

confidence: 92%

Old Age, Number and Specific Comorbidities are Closely Related to Progression and Poor Prognosis in Patients with COVID-19

Liu

Zheng

Kang

et al. 2021

Preprint

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Background— Some patients with comorbidities and rapid disease progression have a poor prognosis.Aim—In this study, we aimed to investigate the distribution characteristics of comorbidities and their relationship with disease progression and outcomes of COVID-19 patients.Methods— A total of 718 COVID-19 patients were divided into five clinical type groups and eight age-interval groups. The distribution characteristics of comorbidities were compared between the different clinical type groups and between the different age-interval groups, and their relationships with disease progression and outcomes of COVID-19 patients were assessed.Results—Approximately 88.62% (637/718) of the COVID-19 patients were twenty to fifty-nine years old. Approximately 65.73% (554/718) had one or more comorbidities, and common comorbidities included non-alcoholic fatty liver disease (NAFLD), hyperlipidaemia, hypertension, diabetes mellitus (DM), chronic hepatitis B (CHB), hyperuricaemia and gout. COVID-19 patients with comorbidities were older, especially those with chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD). Hypertension, DM, COPD, chronic kidney disease (CKD) and CVD were mainly found in severe COVID-19 patients, and hypertension, CKD and CVD were primarily associated with those who died. Risk factors included the number of comorbidities and hyperlipidaemia for disease severity, age, the number of comorbidities, hyperlipidaemia, NAFLD and COPD for the virus negative conversion time, and the number of comorbidities and CKD for prognosis. Number of comorbidities played a predictive role in disease progression and outcomes.Conclusions—These findings provide a reference for clinicians to focus on the number and specific comorbidities in COVID-19 patients to predict disease progression and prognosis.Clinical Trial Registry: Chinese Clinical Trial Register ChiCTR2000034563

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Section: Discussionsupporting

confidence: 92%

Old Age, Number and Specific Comorbidities are Closely Related to Progression and Poor Prognosis in Patients with COVID-19

Liu

Zheng

Kang

et al. 2021

Preprint

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“…Since then, the WHO emergency committee has declared COVID-19 as a global health emergency with more than 200 countries reporting COVID-19 cases. Hundreds of thousands of new cases each day are still being reported as of January 20, 2021, 3 and without a therapeutic vaccine or specific antiviral drugs, early detection and isolation became essential. 2 …”

Section: Introductionmentioning

confidence: 99%

“…Develop individualized preventive treatment methods in advance for high-risk patients, and take effective preventive measures as soon as possible to prevent the patient’s condition from deteriorating or dying. 3 …”

Section: Introductionmentioning

confidence: 99%

Clinical Characteristics and Factors Associated with Disease Progression of Mild to Moderate COVID-19 Patients in a Makeshift (Fangcang) Hospital: A Retrospective Cohort Study

Liu¹,

Zhang²,

Ma³

et al. 2021

TCRM

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Objective Information regarding the epidemiology and clinical features of mild to moderate patients caused by COVID-19 in Fangcang Hospital is scarce. Through a retrospective cohort study, the clinical characteristics of COVID-19 patients in Dongxihu Fangcang shelter hospitals were analyzed, and the factors that affected the disease progression of COVID-19 patients were explored. Methods The clinical characteristics of 714 patients with COVID-19 were retrospectively analyzed at Dongxihu Fangcang Hospital between February 7 and March 8, 2020. We described the clinical characteristics and distribution of discharge or transfer times for each patient. According to the disease progression of COVID-19 patients, we divided all patients into Non-Deteriorated group and Deteriorated group. Furthermore, binary logistic regression was used for a single outcome and multiple response variables. Results We treated 789 patients with mild and moderate COVID-19, of which 714 were included in this study, which included 326 (45.66%) deteriorated patients and 388 (54.34%) non-deteriorated patients. The mean age of the study population was 48.16±12.44 years. Of all patients, 319 (44.7%) were men and 395 (55.3%) were women. The average length of the patient’s stay was 16.08±5.13 days. The most common clinical feature on admission was fever (593 of 714, 83.05%). It is worth noting that 80 (11.20%) of the 714 patients were asymptomatic from exposure to admission. Multivariate logistic regression analysis showed that gender, age, diabetes, respiratory system disease, fever, dyspnea, and nasal congestion were risk factors associated with deterioration in cases with COVID-19 patients, and asymptomatic (OR: 0.058; 95% CI: 0.022–0.155; P <0.001) was the protective factor for deterioration of COVID-19 patients. Conclusion Accompanied by chronic diseases, old age, fever, nasal congestion, and dyspnea were factors that influenced the aggravation of COVID-19 patients, and more attention and treatment should be given to these patients.

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“…COVID-19 has a wide range of clinical manifestations, ranging from asymptomatic to severe viral pneumonia [3,4]. It has been widely con rmed that fever, dry cough, expectoration, and fatigue were the most common symptoms of COVID-19 patients [3,[5][6][7]. In addition, symptoms of cardiovascular system [8], digestive system [9], skin [10], and loss of taste and smell [11] were also reported.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, symptoms of cardiovascular system [8], digestive system [9], skin [10], and loss of taste and smell [11] were also reported. A number of studies have also conducted dynamic studies of the clinical course of symptoms [5,12,13]. There are also studies having revealed similarities and differences in symptoms between COVID-19 and other respiratory infections like in uenza.…”

Section: Introductionmentioning

confidence: 99%

Symptom cluster patterns based on text clustering method of COVID-19 and its population characteristics in Sichuan province, China

Cheng

Wan

et al. 2021

Preprint

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Background: Evidence of the aggregation of COVID-19 symptoms was still limited. Exploration of likely cluster patterns of symptoms may be helpful.Methods: This study enrolled a total of 1067 COVID-19 cases. Symptom cluster patterns were explored by text clustering method. A multinomial logistic regression was applied to revealed its population characteristics. And time intervals between symptoms onset and the first visit was analyzed to take into account the symptoms progression over time. Results: Based on text clustering, the symptoms were summarized into 4 groups. Except for the group without obvious symptoms, the dominate individual symptoms under the other three groups were fever (68.7%), expectoration (59.4%) and fatigue (42.7%), respectively. And the most frequent symptom combinations were fever only (47.8%), expectoration only(19.8%) and fatigue accompanied with fever (4.2%), respectively. People aged 45-64 years were more likely to have symptom group 4 than those aged 65 years or older(OR = 2.66, P = 0.015) and had longer time intervals. Conclusions: The symptoms cluster patterns and common symptom combinations under each pattern may provide information for identification of the infected. Middle-aged population was a group expecting more attention, from the perspective of medical delays.

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Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study

Cited by 39 publications

References 31 publications

Old Age, Number and Specific Comorbidities are Closely Related to Progression and Poor Prognosis in Patients with COVID-19

Old Age, Number and Specific Comorbidities are Closely Related to Progression and Poor Prognosis in Patients with COVID-19

Clinical Characteristics and Factors Associated with Disease Progression of Mild to Moderate COVID-19 Patients in a Makeshift (Fangcang) Hospital: A Retrospective Cohort Study

Symptom cluster patterns based on text clustering method of COVID-19 and its population characteristics in Sichuan province, China

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