Objective This study aims to explore the comorbidities associated with CHD and support its precise manage-ment.Methods Data on CHD patients from all medical institutions in Jiading District,Shanghai,from December 2020 to December 2021 were analyzed.The Apriori algorithm was used to identify key comorbidities,and 2-STEP clustering method was used to explore patterns of multimorbidity.Results Among 192 060 CHD patients,166 969(86.94％)ex-hibited comorbidities,with a higher rate in women(98 802,87.18％)than in men(68 167,86.59％,x2=695.555,P＜0.001).The proportion of comorbidity increased significantly along with the age increase:73.46％in the 18-60 age group(18 017),86.94％in the 61-75 age group(87 180),and 91.85％in the over 75 age group(61 772,Z=-13.704,P＜0.001).CHD typically presents with 2-4 comorbidities,with hypertension(71.59％)and chronic gastro-enteritis(49.96％)being the primary comorbidities identified through association rule analysis.Five distinct multimor-bidity patterns were identified by 2-STEP clustering analysis:triggers,complications,cardiovascular-metabolic,circula-tory system,and multi-system mixed.Conclusion CHD patients exhibit high comorbidity rates and diverse patterns of co-existing diseases,indicating the need for differentiated management strategies.These strategies should focus on proac-tive health measures,managing polypharmacy,and delaying progression to effectively address multimorbidity.
Coronary heart diseaseMultimorbidity patternsAssociation rulesClustering analysisBig medical datasets
维普
万方数据
