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Table 1 Description of the study sample

From: Factors related to and economic implications of inhospital death in German lung cancer patients - results of a Nationwide health insurance claims data based study

 

Entire sample

Inhospital death

No Inhospital death

p-valuec

n (%)

12,457 (100)

6965 (55.9)

5492 (44.1)

 

Mean age at death (SD)

69.9 (10.0)

68.8 (10.0)

71.4 (9.9)

< 0.0001

Sex

 Male N (%)

8930 (71.7)

5070 (72.8)

3860 (70.3)

0.002

Survival

 Median survival in months

7

7

8

< 0.0001

Living in a nursing home a (%)

958 (7.7)

188 (2.7)

770 (14.0)

< 0.0001

Care level a

 No care level N (%)

4958 (39.8)

3769 (54.1)

1189 (21.7)

< 0.0001

 1 N (%)

2451 (19.7)

1324 (19.0)

1127 (20.5)

0.0351

 2 N (%)

3416 (27.4)

1376 (19.8)

2040 (37.1)

< 0.0001

 3 N (%)

1632 (13.1)

496 (7.1)

1136 (20.7)

< 0.0001

State

 Western Germany N (%)

9724 (78.1)

5478 (78.7)

4246 (77.3)

0.0732

Urban district b N (%)

7829 (62.9)

4380 (62.9)

3449 (62.8)

0.922

Mean Charlson Comorbidity Score (SD)

3.77 (2.65)

3.81 (2.66)

3.72 (2.63)

0.0777

Body regions with Metastases

 Cerebal N (%)

2271 (18.2)

1237 (17.8)

1034 (18.8)

0.1256

 Bones N (%)

2845 (22.8)

1630 (23.4)

1215 (22.1)

0.0912

 Thoracic N (%)

4207 (33.8)

2406 (34.5)

1801 (32.8)

0.0402

  1. a Data of the last quarter before death were used
  2. b Urban district is based on the district types defined by the Federal institute for Research on Building, Urban Affairs and Spatial Development for 2014. Urban district contains district type 1 and 2, the reference category rural district contains district type 3 and 4
  3. cp-values were calculated with t-test for age at death, Wilcoxon U-test for Charlson Comorbidity Score and Chi2 test for sex, living in a nursing home, care level, state and urban district