Table 2 Baseline characteristics of the study participants.

From: Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program

Total

166

Age*

64.7 (5.82)

Men

124 (74.7)

BMI (kg/m2)

27.7 (5.8)

Dyspnea (mMRC) scale*

2 [1–3]

Six minutes walking distance (m)

395.6 (114.9)

Physical activity (steps/day)

5458.9 (183.2)

FVC (%)

78.0 (21.0)

FEV1 (%)

45.4 (13.8)

FEV1/FVC

45.0 (9.4)

DLCO (%)

48.8 (19.4)

KCO (%)

65.7 (23.7)

Charlson Index*

3 [2–4]

COPD assessment test (CAT)

15.8 (8.0)

Hospital anxiety-depression (HAD)

 Anxiety¥

6.2 (4.1)

 Depression¥

4.9 (4.1)

 BODE-index¥

2.67 (1.9)

  1. Results show as mean (standard deviation). * Results show as median [interquartile range]. BMI: body mass index; mMRC: modified medical research; FVC: forced vital capacity; FEV1: forced expiratory volume; DLCO: diffusion lung capacity; KCO: CO transfer coefficient; BODE index (Body mass index, airflow obstruction, dyspnea, exercise capacity).
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