Peter Koch, Lara Steinke, Claudia Peters, Albert Nienhaus
{"title":"2019冠状病毒病后相关症状的患病率和预测因素:德国卫生和福利服务部门员工的长期随访:一份简短报告","authors":"Peter Koch, Lara Steinke, Claudia Peters, Albert Nienhaus","doi":"10.3205/dgkh000577","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To describe persistent symptoms after a work-related COVID-19 infection in health and welfare workers and the identification of predictors of these symptoms.</p><p><strong>Methods: </strong>This short report summarises updated results on a bidirectional cohort study of employees in the health and welfare services who had reported a work-related SARS-CoV-2 infection in 2020. Participants were interviewed for the fourth time (T4) in April 2023 using a paper-and-pencil questionnaire. In this extended follow-up study (total prospective follow-up time: 26 months, maximum observation time 32 months), questions were asked about the type and severity of persistent symptoms. Kaplan-Meier curves were used to visualize cumulative survival rates, and Cox regression was used to identify predictors.</p><p><strong>Results: </strong>Of the 2,053 participants in the baseline study (response rate: 47%), 1,075 people took part in the 4<sup>th</sup> survey (follow-up rate: 52%); the analysis sample for the longitudinal study comprised 1,809 participants. The most frequently reported persistent symptoms at T4 were fatigue (61%), concentration or memory problems (55%) and shortness of breath (49%). After 12 weeks, the cumulative survival rate was 76.3%, after 12 months 69.3%, and after 32 months 60.0%. Female gender was a statistically significant risk factor for a longer recovery time (Hazard Ratio [HR]: 0.8, 95% CI: 0.63-0.93, p=0.007) as was older age (HR ≥50 years 0.6, 95% CI: 0.51-0.76, p<0.001). Participants with one pre-existing condition had a 20% statistically significant increased risk (HR: 0.8, 95% CI: 0.66-0.95, p= 0.010), subjects with two pre-existing conditions a HR of 0.6 (95% CI: 0.46-0.75, p<0.001) and those with ≥3 pre-existing conditions had a HR of 0.3 (95%-CI: 0.23-0.48, p<0.001). Risk increases were also observed for the number of severe acute symptoms: the more symptoms, the greater the increase in risk. Individuals with medical activity (physicians) were 50% less likely to have a longer time to recovery compared to all other occupational groups (HR: 1.5, 95%-CI: 1.21-1.89, p<0.001).</p><p><strong>Conclusion: </strong>Minimal further recovery was observed in this cohort of insured persons after a 26-month prospective follow-up. Identified risk factors for persistent symptoms, i.e. female gender, older age, severe acute symptoms, and pre-existing illnesses, define a high-risk group of individuals, who should receive sufficient attention in the early phase of their COVID-19 disease and receive appropriate therapy to minimize the risk of post-COVID-19 syndrome.</p>","PeriodicalId":12738,"journal":{"name":"GMS Hygiene and Infection Control","volume":"20 ","pages":"Doc48"},"PeriodicalIF":1.6000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12447766/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and predictors of post-COVID-19-related symptoms: an extended follow-up among employees in health and welfare services in Germany: a short report.\",\"authors\":\"Peter Koch, Lara Steinke, Claudia Peters, Albert Nienhaus\",\"doi\":\"10.3205/dgkh000577\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To describe persistent symptoms after a work-related COVID-19 infection in health and welfare workers and the identification of predictors of these symptoms.</p><p><strong>Methods: </strong>This short report summarises updated results on a bidirectional cohort study of employees in the health and welfare services who had reported a work-related SARS-CoV-2 infection in 2020. Participants were interviewed for the fourth time (T4) in April 2023 using a paper-and-pencil questionnaire. In this extended follow-up study (total prospective follow-up time: 26 months, maximum observation time 32 months), questions were asked about the type and severity of persistent symptoms. Kaplan-Meier curves were used to visualize cumulative survival rates, and Cox regression was used to identify predictors.</p><p><strong>Results: </strong>Of the 2,053 participants in the baseline study (response rate: 47%), 1,075 people took part in the 4<sup>th</sup> survey (follow-up rate: 52%); the analysis sample for the longitudinal study comprised 1,809 participants. The most frequently reported persistent symptoms at T4 were fatigue (61%), concentration or memory problems (55%) and shortness of breath (49%). After 12 weeks, the cumulative survival rate was 76.3%, after 12 months 69.3%, and after 32 months 60.0%. Female gender was a statistically significant risk factor for a longer recovery time (Hazard Ratio [HR]: 0.8, 95% CI: 0.63-0.93, p=0.007) as was older age (HR ≥50 years 0.6, 95% CI: 0.51-0.76, p<0.001). Participants with one pre-existing condition had a 20% statistically significant increased risk (HR: 0.8, 95% CI: 0.66-0.95, p= 0.010), subjects with two pre-existing conditions a HR of 0.6 (95% CI: 0.46-0.75, p<0.001) and those with ≥3 pre-existing conditions had a HR of 0.3 (95%-CI: 0.23-0.48, p<0.001). Risk increases were also observed for the number of severe acute symptoms: the more symptoms, the greater the increase in risk. Individuals with medical activity (physicians) were 50% less likely to have a longer time to recovery compared to all other occupational groups (HR: 1.5, 95%-CI: 1.21-1.89, p<0.001).</p><p><strong>Conclusion: </strong>Minimal further recovery was observed in this cohort of insured persons after a 26-month prospective follow-up. Identified risk factors for persistent symptoms, i.e. female gender, older age, severe acute symptoms, and pre-existing illnesses, define a high-risk group of individuals, who should receive sufficient attention in the early phase of their COVID-19 disease and receive appropriate therapy to minimize the risk of post-COVID-19 syndrome.</p>\",\"PeriodicalId\":12738,\"journal\":{\"name\":\"GMS Hygiene and Infection Control\",\"volume\":\"20 \",\"pages\":\"Doc48\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12447766/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GMS Hygiene and Infection Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3205/dgkh000577\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GMS Hygiene and Infection Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3205/dgkh000577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Prevalence and predictors of post-COVID-19-related symptoms: an extended follow-up among employees in health and welfare services in Germany: a short report.
Objective: To describe persistent symptoms after a work-related COVID-19 infection in health and welfare workers and the identification of predictors of these symptoms.
Methods: This short report summarises updated results on a bidirectional cohort study of employees in the health and welfare services who had reported a work-related SARS-CoV-2 infection in 2020. Participants were interviewed for the fourth time (T4) in April 2023 using a paper-and-pencil questionnaire. In this extended follow-up study (total prospective follow-up time: 26 months, maximum observation time 32 months), questions were asked about the type and severity of persistent symptoms. Kaplan-Meier curves were used to visualize cumulative survival rates, and Cox regression was used to identify predictors.
Results: Of the 2,053 participants in the baseline study (response rate: 47%), 1,075 people took part in the 4th survey (follow-up rate: 52%); the analysis sample for the longitudinal study comprised 1,809 participants. The most frequently reported persistent symptoms at T4 were fatigue (61%), concentration or memory problems (55%) and shortness of breath (49%). After 12 weeks, the cumulative survival rate was 76.3%, after 12 months 69.3%, and after 32 months 60.0%. Female gender was a statistically significant risk factor for a longer recovery time (Hazard Ratio [HR]: 0.8, 95% CI: 0.63-0.93, p=0.007) as was older age (HR ≥50 years 0.6, 95% CI: 0.51-0.76, p<0.001). Participants with one pre-existing condition had a 20% statistically significant increased risk (HR: 0.8, 95% CI: 0.66-0.95, p= 0.010), subjects with two pre-existing conditions a HR of 0.6 (95% CI: 0.46-0.75, p<0.001) and those with ≥3 pre-existing conditions had a HR of 0.3 (95%-CI: 0.23-0.48, p<0.001). Risk increases were also observed for the number of severe acute symptoms: the more symptoms, the greater the increase in risk. Individuals with medical activity (physicians) were 50% less likely to have a longer time to recovery compared to all other occupational groups (HR: 1.5, 95%-CI: 1.21-1.89, p<0.001).
Conclusion: Minimal further recovery was observed in this cohort of insured persons after a 26-month prospective follow-up. Identified risk factors for persistent symptoms, i.e. female gender, older age, severe acute symptoms, and pre-existing illnesses, define a high-risk group of individuals, who should receive sufficient attention in the early phase of their COVID-19 disease and receive appropriate therapy to minimize the risk of post-COVID-19 syndrome.