Risk Factor Analysis and Nomogram for Early Progression of COVID-19 Pneumonia in Older Adult Patients in the Omicron Era

Abstract

Daoda Qi,1,* Yang Chen,1,* Chengyi Peng,1 Yuan Wang,2 Zihao Liang,2 Jingjing Guo,1 Yan Gu1 1Department of Geriatrics, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 2Clinical Research Center, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yan Gu; Jingjing Guo, Department of Geriatrics, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China, Tel [phone], Email [email protected]; [email protected] 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

Keywords

• early progression
• cga
• nomogram
• covid-19
• omicron era