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. Author manuscript; available in PMC: 2024 Oct 1.
Published in final edited form as: J Am Geriatr Soc. 2023 Jun 24;71(10):3179–3188. doi: 10.1111/jgs.18479

Table 2.

Latent Class Analysis Results of Non-Cardiovascular Comorbidities

Number of classes AIC BIC Smallest class size (%) Posterior probability, mean (SD)

AMI

2 Classes 263179.1 263333.4 38.2 0.88 (0.14)
3 Classes 261205.8 261441.3 25.4 0.80 (0.17)
4 Classes 260286.1 260602.7 13.5 0.74 (0.17)
5 Classes 259981.0 260378.8 14.8 0.71 (0.19)
6 Classes 259886.5 260365.5 13.1 0.64 (0.19)
7 Classes 259807.7 260367.9 8.6 0.62 (0.18)

CHF

2 Classes 615345.3 615515.4 43.1 0.85 (0.15)
3 Classes 612116.0 612375.7 24.3 0.78 (0.17)
4 Classes 610428.7 610034.1 11.9 0.72 (0.16)
5 Classes 609683.6 610122.4 14.7 0.68 (0.18)
6 Classes 609505.7 610034.1 12.6 0.69 (0.18)
7 Classes 609312.6 609930.6 11.1 0.62 (0.16)

AF

2 Classes 389126.1 389287.6 43.8 0.87 (0.14)
3 Classes 387299.1 387545.5 24.0 0.79 (0.17)
4 Classes 385996.1 386327.5 19.0 0.72 (0.16)
5 Classes 385540.5 385957 12.2 0.68 (0.19)
6 Classes 385378.2 385879.7 11.4 0.64 (0.18)
7 Classes 385272.7 385859.1 4.0 0.61 (0.17)

Abbreviations: AIC, Akaike information criterion; AMI, acute myocardial infarction; AF, atrial fibrillation; BIC, Bayesian Information Criterion; CHF, congestive heart failure; SD, standard deviation.