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Table 1 Baseline characteristics of all patients included in our analysis

From: Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study

Dependent: Actinomycosis

Negative

Positive

P

Gender

 Female

62 (40.8)

44 (62.9)

0.004

 Male

90 (59.2)

26 (37.1)

 

Age (years)

   

 Mean (SD)

62.3 (16.1)

75.0 (12.3)

< 0.001

Presumed causes

   

 Odontogenic infection

136 (89.5)

26 (37.1)

< 0.001

 Dental extraction

5 (3.3)

27 (38.6)

 

 Implant

3 (2.0)

7 (10.0)

 

 Unknown

8 (5.3)

10 (14.3)

 

Anatomical site

   

 Maxilla posterior

40 (26.3)

18 (25.7)

0.266

 Maxilla anterior

9 (5.9)

4 (5.7)

 

 Mandible posterior

99 (65.1)

42 (60.0)

 

 Mandible anterior

4 (2.6)

6 (8.6)

 

Comorbidities

 Hypertension

68 (44.7)

45 (64.3)

0.010

 Diabetes mellitus

40 (26.3)

19 (27.1)

1.000

 Heart disease

35 (23.0)

14 (20.0)

0.741

 Renal disease

18 (11.8)

7 (10.0)

0.861

 Liver disease

9 (5.9)

1 (1.4)

0.250

 Cerebral disease

13 (8.6)

1 (1.4)

0.083

 Malignancy

7 (4.6)

10 (14.3)

0.025

 Rheumatoid arthritis

1 (0.7)

4 (5.7)

0.061

Antiresorptive agents

16 (10.5)

41 (58.6)

< 0.001

Antithrombotic agents

44 (28.9)

25 (35.7)

0.392

Recurrence

 

9 (12.9)

< 0.001

  1. SD standard deviation