Daoda Qi, Yang Chen, Chengyi Peng, Yuan Wang, Zihao Liang, Jingjing Guo, Yan Gu
{"title":"奥米克龙时代老年患者 COVID-19 肺炎早期进展的风险因素分析和提名图","authors":"Daoda Qi, Yang Chen, Chengyi Peng, Yuan Wang, Zihao Liang, Jingjing Guo, Yan Gu","doi":"10.2147/cia.s453057","DOIUrl":null,"url":null,"abstract":"<strong>Background and Objective:</strong> Timely recognition of risk factors for early progression in older adult patients with COVID-19 is of great significance to the following clinical management. This study aims to analyze the risk factors and create a nomogram for early progression in older adult patients with COVID-19 in the Omicron era.<br/><strong>Methods:</strong> A total of 272 older adults infected with COVID-19 admitted from December 2022 to February 2023 were retrospectively recruited. Risk factor selection was determined using the logistic and the least absolute shrinkage and selection operator (LASSO) regression. A nomogram was then created to predict early progression, followed by the internal validation and assessment of its performance through plotting the receiver operating characteristic (ROC), calibration, and decision curves.<br/><strong>Results:</strong> A total of 83 (30.5%) older adult patients presented an early progression on chest CT after 3– 5 days of admission under standard initiate therapy. Six independent predictive factors were incorporated into the nomogram to predict the early progression, including CRP > 10 mg/L, IL-6 > 6.6 pg/mL, LDH > 245 U/L, CD4<sup>+</sup> T-lymphocyte count < 400/μL, the Activities of Daily Living (ADL) score ≤ 40 points, and the Mini Nutritional Assessment Scale-Short Form (MNA-SF) score ≤ 7 points. The area under the curve (AUC) of the nomogram in discriminating older adult patients who had risk factors in the training and validation cohort was 0.857 (95% CI 0.798, 0.916) and 0.774 (95% CI 0.667, 0.881), respectively. The calibration and decision curves demonstrated a high agreement in the predicted and observed risks, and the acceptable net benefit in predicting the early progression, respectively.<br/><strong>Conclusion:</strong> We created a nomogram incorporating highly available laboratory data and the Comprehensive Geriatric Assessment (CGA) findings that effectively predict early-stage progression in older adult patients with COVID-19 in the Omicron era.<br/><br/><strong>Keywords:</strong> early progression, CGA, nomogram, COVID-19, omicron era<br/>","PeriodicalId":10417,"journal":{"name":"Clinical Interventions in Aging","volume":"38 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Factor Analysis and Nomogram for Early Progression of COVID-19 Pneumonia in Older Adult Patients in the Omicron Era\",\"authors\":\"Daoda Qi, Yang Chen, Chengyi Peng, Yuan Wang, Zihao Liang, Jingjing Guo, Yan Gu\",\"doi\":\"10.2147/cia.s453057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background and Objective:</strong> Timely recognition of risk factors for early progression in older adult patients with COVID-19 is of great significance to the following clinical management. This study aims to analyze the risk factors and create a nomogram for early progression in older adult patients with COVID-19 in the Omicron era.<br/><strong>Methods:</strong> A total of 272 older adults infected with COVID-19 admitted from December 2022 to February 2023 were retrospectively recruited. Risk factor selection was determined using the logistic and the least absolute shrinkage and selection operator (LASSO) regression. A nomogram was then created to predict early progression, followed by the internal validation and assessment of its performance through plotting the receiver operating characteristic (ROC), calibration, and decision curves.<br/><strong>Results:</strong> A total of 83 (30.5%) older adult patients presented an early progression on chest CT after 3– 5 days of admission under standard initiate therapy. Six independent predictive factors were incorporated into the nomogram to predict the early progression, including CRP > 10 mg/L, IL-6 > 6.6 pg/mL, LDH > 245 U/L, CD4<sup>+</sup> T-lymphocyte count < 400/μL, the Activities of Daily Living (ADL) score ≤ 40 points, and the Mini Nutritional Assessment Scale-Short Form (MNA-SF) score ≤ 7 points. The area under the curve (AUC) of the nomogram in discriminating older adult patients who had risk factors in the training and validation cohort was 0.857 (95% CI 0.798, 0.916) and 0.774 (95% CI 0.667, 0.881), respectively. The calibration and decision curves demonstrated a high agreement in the predicted and observed risks, and the acceptable net benefit in predicting the early progression, respectively.<br/><strong>Conclusion:</strong> We created a nomogram incorporating highly available laboratory data and the Comprehensive Geriatric Assessment (CGA) findings that effectively predict early-stage progression in older adult patients with COVID-19 in the Omicron era.<br/><br/><strong>Keywords:</strong> early progression, CGA, nomogram, COVID-19, omicron era<br/>\",\"PeriodicalId\":10417,\"journal\":{\"name\":\"Clinical Interventions in Aging\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Interventions in Aging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/cia.s453057\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Interventions in Aging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/cia.s453057","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Risk Factor Analysis and Nomogram for Early Progression of COVID-19 Pneumonia in Older Adult Patients in the Omicron Era
Background and Objective: Timely recognition of risk factors for early progression in older adult patients with COVID-19 is of great significance to the following clinical management. This study aims to analyze the risk factors and create a nomogram for early progression in older adult patients with COVID-19 in the Omicron era. Methods: A total of 272 older adults infected with COVID-19 admitted from December 2022 to February 2023 were retrospectively recruited. Risk factor selection was determined using the logistic and the least absolute shrinkage and selection operator (LASSO) regression. A nomogram was then created to predict early progression, followed by the internal validation and assessment of its performance through plotting the receiver operating characteristic (ROC), calibration, and decision curves. Results: A total of 83 (30.5%) older adult patients presented an early progression on chest CT after 3– 5 days of admission under standard initiate therapy. Six independent predictive factors were incorporated into the nomogram to predict the early progression, including CRP > 10 mg/L, IL-6 > 6.6 pg/mL, LDH > 245 U/L, CD4+ T-lymphocyte count < 400/μL, the Activities of Daily Living (ADL) score ≤ 40 points, and the Mini Nutritional Assessment Scale-Short Form (MNA-SF) score ≤ 7 points. The area under the curve (AUC) of the nomogram in discriminating older adult patients who had risk factors in the training and validation cohort was 0.857 (95% CI 0.798, 0.916) and 0.774 (95% CI 0.667, 0.881), respectively. The calibration and decision curves demonstrated a high agreement in the predicted and observed risks, and the acceptable net benefit in predicting the early progression, respectively. Conclusion: We created a nomogram incorporating highly available laboratory data and the Comprehensive Geriatric Assessment (CGA) findings that effectively predict early-stage progression in older adult patients with COVID-19 in the Omicron era.
Keywords: early progression, CGA, nomogram, COVID-19, omicron era
期刊介绍:
Clinical Interventions in Aging, is an online, peer reviewed, open access journal focusing on concise rapid reporting of original research and reviews in aging. Special attention will be given to papers reporting on actual or potential clinical applications leading to improved prevention or treatment of disease or a greater understanding of pathological processes that result from maladaptive changes in the body associated with aging. This journal is directed at a wide array of scientists, engineers, pharmacists, pharmacologists and clinical specialists wishing to maintain an up to date knowledge of this exciting and emerging field.