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Table 1 Dataset characteristics

From: Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing

 

Train

Validation

Test

Patient Characteristics

Patient Count, no. (% across dataset splits)

 

26994 (70.0%)

3858 (10.0%)

7714 (20.0%)

Number of Procedures per Patient, no. (% within dataset split)

1

19107 (70.78%)

2741 (71.05%)

5475 (70.97%)

2

4528 (16.77%)

608 (15.76%)

1330 (17.24%)

3

1635 (6.06%)

249 (6.45%)

425 (5.51%)

4

715 (2.65%)

124 (3.21%)

224 (2.9%)

>  = 5

1009 (3.74%)

136 (3.53%)

260 (3.37%)

Age, mean (SD)

 

50.59 (18.16)

51.51 (18.09)

50.66 (18.0)

Gender, no. (% within dataset split)

Female

18419 (42.70%)

2534 (41.00%)

5130 (42.10%)

Male

24720 (57.30%)

3646 (59.00%)

7053 (57.89%)

Unknown

0 (0.0%)

0 (0.0%)

1 (0.01%)

Procedural Case Characteristics

Case Count, no. (% across dataset splits)

 

43139 (70.14%)

6180 (10.05%)

12184 (19.81%)

Anesthesia Type, no. (% within dataset split)

General

34901 (81.07%)

4961 (80.51%)

9927 (81.64%)

MAC

7063 (16.41%)

1005 (16.31%)

1905 (15.67%)

Regional

1089 (2.53%)

196 (3.18%)

327 (2.69%)

ASA Physical Status Classification Score, no. (% within dataset split)

I

3734 (8.66%)

555 (8.98%)

1127 (9.25%)

II

13631 (31.6%)

1875 (30.34%)

3806 (31.24%)

III

18626 (43.18%)

2649 (42.86%)

5327 (43.72%)

IV-V

7148 (16.57%)

1101 (17.82%)

1924 (15.79%)

Time Between Pre-Anesthesia Note and Surgery, median days HH:MM:SS (IQR)

 

0 days 17:11:48

(0 days 00:17:00, 4 days 06:04:05)

0 days 17:28:55

(0 days 00:18:00, 4 days 05:04:10)

0 days 17:29:55

(0 days 00:17:05, 4 days 01:52:53)

Note Characteristics

Notes Count, no. (% across dataset splits)

 

32444 (70.11%)

4649 (10.05%)

9182 (19.84%)

Text Word-Level Length, median (IQR)

Full Note

727 (514, 999)

723 (514, 1010)

722 (511, 997)

Procedure

5 (4, 8)

5 (4, 8)

5 (4, 8)

Diagnosis

3 (2, 5)

3 (2, 5)

3 (2, 5)

HPI

86 (35, 162)

87 (35, 161)

88 (35, 163)

PMSH

28 (18, 42)

28 (19, 44)

28 (18, 42)

ROS

87 (53, 154)

87 (54, 155)

87 (54, 153)

Medications

145 (59, 264)

143 (59, 264)

146 (57, 262)

  1. Baseline patient, procedure, and note characteristics for Train, Validation, Test datasets