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. 2026 Jun 11;13:1830474. doi: 10.3389/fmed.2026.1830474

Figure 6.

Nomogram graphic predicting hospital readmission probability based on variables including gender, use of NIV, FE, APTT, ALB, MPV, lymphocyte count, monocyte count, EF, TRVmax, and derived point and probability scales.

Platt-calibrated nomogram for predicting readmission risk based on the final logistic regression model. For each predictor (Gender, NIV, FE, APTT, ALB, MPV, Lymphocyte, Monocyte, EF, and TRVmax), locate the patient’s value on the corresponding axis and read the assigned score on the “Points” scale. Sum the individual scores to obtain the “Total Points,” then project vertically downward to derive the “Linear Predictor” and the Platt-calibrated probability of readmission. Higher total points indicate a higher predicted risk of readmission. NIV, non-invasive ventilation; FE, frequent exacerbations (22 hospitalizations for acute exacerbations in the previous year); APTT, activated partial thromboplastin time; ALB, albumin; MPV, mean platelet volume: EF, ejection fraction; TRVmax, maximum tricuspid regurgitation velocity.