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Vol. 10, No. 6
June 2004

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Letter

SARS Epidemiology Modeling (Replies)

Ying-Hen Hsieh,*Comments Jen-Yu Lee,* and Hsiao-Ling Chang†
*National Chung Hsing University, Taichung, Taiwan, and †Department of Health, Taipei, Taiwan


Appendix (Online Only)

Appendix Table 1. Study 1, patient characteristics, methicillin-resistant Staphylococcus aureus (MRSA), controls not infected with S. aureus and controls with methicillin-susceptible S. aureus (MSSA) surgical site infections, bivariable analyses

Variable

Cases, MRSA (%)
(n = 121)

Controls, uninfected patients (%)
(n = 193)

p value, (MRSA vs. uninfected controls)

Controls, MSSA (%)
(n = 165)

p value (MRSA vs. MSSA)


Age, mean ± SD, y

63.9 ± 15.4

57.3 ± 18.3

0.001

55.1 ± 17.4

<0.001

Male sex

55 (45.5)

92 (42.7)

0.73

90 (54.6)

0.15

Coexisting conditions

   Diabetes mellitus

59 (48.8)

66 (34.2)

0.01

57 (34.6)

0.02

   Hematologic disorder

1 (0.8)

1 (0.5)

1.00

2 (1.2)

1.00

   HIV infection

0 (0.0)

1 (0.5)

1.00

0

1.00

   Hypertension

64 (52.9)

75 (38.9)

0.02

80 (48.5)

0.48

   Liver disease

4 (3.3)

1 (0.5)

0.07

2 (1.2)

0.25

   Malignancy

15 (12.4)

14 (7.3)

0.16

13 (7.9)

0.23

   Obesity

10 (8.3)

12 (6.2)

0.50

18 (10.9)

0.55

   Peripheral vascular
   
disease

12 (9.9)

3 (1.6)

0.002

9 (5.5)

0.17

   Pulmonary disease

21 (17.4)

23 (11.9)

0.19

32 (19.4)

0.76

   Renal disease

19 (15.7)

9 (4.7)

0.002

13 (7.9)

0.06

   Transplant

1 (0.8)

0

0.39

0

0.42

   Tobacco use

16 (13.2)

20 (10.4)

0.47

24 (14.6)

0.86

   Alcohol abuse

4 (3.3)

2 (1.0)

0.21

6 (3.6)

1.00

Hospital-related risk factors

   Treatment at the
   academic tertiary
   care hospital

94 (77.8)

125 (64.8)

0.02

109 (66.1)

0.04

   LOS before surgery,
   median, IQR

1, 0–4

0, 0–3

0.02

0, 0–2

0.01

   LOS before culture,
   median, IQR

8, 5–14

NA

NA

5, 3–10

<0.001

   Proportion of patients
   with an ICU stay
   before surgery

11 (9.1)

13 (7.9)

0.83

18 (9.3)

1.0

   ASA score, median,
   IQR

3, 3–4

3, 2–4

0.03

3, 2–4

0.15

   Duration of surgery
   (min), median, IQR

240, 166–305

194, 113–276

0.004

202, 116–285

0.01

   Wound class,
   median, IQR

1, 1–1

1, 1–1

0.82

1, 1–1

0.36

   NNIS Risk Index,
   median, IQR

1, 1–2

1, 1–1

0.002

1, 1–2

0.06


aLOS, length of stay; IQR, interquartile range; ASA, American Society of Anesthesiologists-Physical Status score; NNIS, National Nosocomial Infections Surveillance System.

 

Appendix Table 2. Study 1: Adjusted outcomes models for methicillin-resistant Staphylococcus aureus (MRSA) surgical site infection (SSI) compared to uninfected control patientsa

Variable

Deaths

Length of stayb

Costc

OR (95% CI)

ORd (95% CI)

OR (95% CI)


MRSA

11.4 (2.8 to 34.9)

3.2 (2.7 to 3.7)

2.2 (2.0 to 2.6)

ASA scoree,f

 

1.3 (1.2 to 1.5)

ASA score = 4
3.7 (1.5 to 8.9)

ASA score = 2
2.0 (1.4 to 2.9)

ASA score = 3
3.0 (2.1 to 4.3)

ASA Score = 4
4.1 (2.8 to 6.0)

>73 y of age

4.8 (2.0 to 11.6)

   

Operative duration (min)g

   211–400

 

(0.9 to 1.3)

1.4 (1.2 to 1.7)

   401–590

1.7 (1.2 to 2.4)

2.2 (1.6 to 3.1)

   >590

1.8 (1.1 to 2.9)

2.6 (1.6 to 4.0)

Length of stay before surgeryh

   7–13 d

 

1.6 (1.1 to 2.1)

1.7 (1.3 to 2.3)

   14–20 d

3.6 (1.4 to 9.6)

5.6 (2.3 to 13.4)

   >20 d

0.7 (0.2 to 2.6)

1.2 (0.3 to 4.3)

Intensive care unit stay before surgery

 

1.5 (1.2 to 2.0)

Tertiary care hospital

 

1.5 (1.2 to 1.7)


aOR, odds ratio; CI, confidence interval; ASA, American Society of Anesthesiologists -Physical Status.
bModel includes the following confounding variables: admission to the tertiary care hospital, diabetes, and renal disease.
cModel includes the following confounding variable: renal disease.
dFor length of hospital stay and cost, OR represents multiplicative effect
eLength of stay increases by 1.3-fold for each point increase in ASA score.
fFor cost, reference category is ASA score = 1.
gReference category is operative duration < 211 min.
hReference category is length of stay before surgery < 7 d.

 

Appendix Table 3. Study 1, adjusted outcomes models for methicillin-resistant Staphylococcus. aureus (MRSA) surgical site infections (SSI) compared to patients with methicillin-resistant S. aureus (MSSA) SSIa

 

Deathsb

Length of Stayc

Costd


Variable

OR (95% CI)

OR (95% CI)e

ORe (95% CI)

MRSA

3.4 (1.5 to 7.7)

1.2 (1.0 to 1.5)

 1.2 (1.0 to 1.4)

ASA scoref

ASA score = 4
5.1 (2.1 to12.5)

ASA score = 2
0.9 (0.5 to 1.7)

ASA score = 2
1.0 (0.7 to 1.5)

ASA score = 3
1.6 (0.9 to  2.9)

ASA score = 3
1.4 (1.0 to 2.1)

Asa score = 4
1.8 (1.0 to 3.5)

ASA score = 4
2.1 (1.4 to 3.2)

Age > 61 years

3.0 (1.2 to 7.3)

   

Operative duration, ming

     

   206–381

1.3 (1.0 to  1.6)

1.4 (1.1 to 1.6)

   382–557

1.3 (0.8 to 2.1)

1.8 (1.3 to 2.5)

   >557

1.1 (0.5 to 2.6)

1.6 (0.9 to 2.8)

Length (d) of stay before infectionh

     

   11–20

1.4 (1.0 to 1.8)

1.6 (1.3 to 2.0)

   21–30

1.6 (1.0 to 2.7)

1.7 (1.2 to 2.5)

   >30

1.3 (0.5 to 3.1)

1.8 (0.9 to 3.8)

Renal disease

 

1.5 (1.0 to 2.2)

 

Length (d) of intensive care unit stay before infectioni

     

   8–14

1.8 (1.1, 2.8)

   15–21

2.1 (1.1, 8.8)

   >21

1.9 (0.4, 8.0)

Tertiary care hospital

   

1.3 (1.1, 1.6)


aOR, odds ratio; CI, confidence interval; ASA, American Society of Anesthesiologists -Physical Status.
bModel includes the following confounding variable: operative duration >222 min.
cModel includes the following confounding variables: admission to tertiary care hospital and diabetes.
dModel includes the following confounding variables: diabetes and renal disease.
eFor length of hospital stay and cost, OR represents multiplicative effect.
fFor deaths, reference category is ASA score < 1; for length of stay and cost, reference category is ASA score = 1.
gReference category is operative duration < 206 min.
hReference category is length of stay prior to infection < 11 d.
iReference category is intensive care unit length of stay prior to infection < 8 d.

 

Appendix Table 4. Study 2, patient characteristics, vancomycin-resistant enterococci (VRE) wound infections, controls not infected with enterococci, and controls with vancomycin-susceptible enterococci (VSE) wound infections, bivariate analyses

Variable

Cases, VRE wound (%)
(n = 99)

Controls, not infected (%)
(n = 280)

P Value
(VRE vs. controls not infected)

Controls, VSE (%) (n = 213)

p value
(VRE vs. VSE)


Age, mean (y)

60.3

63.6

0.09

59.1

0.51

Sex (female)

46 (46)

124 (44.3)

0.7

127 (59.6)

0.03

Main diagnosis

 

 

 

 

 

   Orthopedic condition

11 (11)

30 (10.7)

 

18 (8.4)

 

   Cardiovascular condition

25 (25)

117 (41)

 

61 (28.6)

 

   Endocrine disorder

3 (3)

6 (2.1)

 

4 (1.9)

 

   Gastrointestinal disorder

25 (25)

60 (21.4)

 

62 (29.1)

 

   Genitourinary disorder

6 (6)

12 (4.2)

 

9 (4.3)

 

   Infectious disease

16 (16)

6 (2.1)

 

20 (9.4)

 

   Hematologic disease

0 (0)

2 (.7)

 

0

 

   Neurologic disease

11 (11)

32 (11.4)

 

34 (16)

 

   Pulmonary disease

2 (2)

14 (5)

 

5 (2.4)

 

Coexisting conditions

         

   Cardiovascular disease

73 (74)

204 (72.9)

0.86

150 (70.4)

0.55

   Lung disease

11 (11)

33 (11.7)

0.9

26 (12.2)

0.78

   Diabetes mellitus

67 (67.7)

139 (49.6)

0.002

127 (59.6)

0.17

   Organ transplant recipient

14 (14)

21 (7.5)

0.08

18 (8.4)

0.12

   Renal disease

18 (18.2)

39 (14)

0.7

28 (13.2)

0.24

   Malignancy

7 (7.1)

27 (9.6)

0.5

32 (15)

0.05

   AIDS

2 (2)

2 (0.7)

0.27

0

0.1

   Hepatobiliary disease

16 (16.6)

40 (14.3)

0.8

31 (14.5)

0.71

Charlson comorbidity score, mean

3.17

2.66

0.07

   

Hospital-related risk factors

         

   Transfer from another
   institution

34 (34.3)

102 (36.4)

0.5

34 (16)

<0.001

   Surgery

29 (29.3)

94 (33.6)

0.08

90 (42.3)

0.03

   Admission to ICU

26 (26.2)

58 (20.7)

0.9

53 (33.3)

0.8


 

Appendix Table 5. Study 2, adjusted outcomes models for vancomycin-resistant enterococcus (VRE) wound infection compared to uninfected control patientsa

Variable

Deathsb

Variable

Length of Stayc

Variable

Costd




OR (95% CI)

ORe (95% CI)

ORe (95% CI)


VRE infection

2.0 (0.8 to 5.2)

VRE infection

1.8 (1.3 to 2.4)

VRE infection

1.5 (1.3, 1.8)

   

Transfer from another hospital

1.5 (1.2 to 1.9)

Surgerye

1.4 (1.1, 1.8)

   

Renal disease

2.0  (1.5 to 2.7)

   
   

Malignancy

0.7 (0.5 to 0.9)

   
   

Intensive care unit stayf

2.3 (1.6 to 3.3)

   

aOR, odds ratio; CI, confidence interval.
bModel includes the following confounding variables: intensive care unit (ICU) stay and number of coexisting conditions.
cModel includes the following confounding variable: propensity score (i.e., likelihood of being a VRE case).
dModel includes the following confounding variables: propensity score [i.e., likelihood of being a VRE case (Appendix)] and length of stay before infection (index date for controls).
eFor length of hospital stay and cost, OR represents multiplicative effect.
fBefore infection for cases and before index date for controls.

 

Appendix Table 6. Study 2, adjusted outcomes models for vancomycin-resistant enterococcus (VRE) wound infection compared to control patients with wound infection due to vancomycin-susceptible enterococcus (VSE)a

Variable

Deathsb

Variable

Length of Stayc

Variable

Costd




Odds Ratio (OR)
(95% Confidence Interval [CI])

ORe (95% CI)

ORe (95% CI)


VRE

2.5 (1.1, 6.1)

VRE

1.1 (0.9, 1.4)

VRE

1.4 (1.2, 1.6)

Intensive care unit stay (ICU)f

9.0 (3.0, 27.4)

ICU stayf

1.8 (1.3, 2.5)

Surgeryf

1.2 (1.1, 1.3)


aOR, odds ratio; CI, confidence interval; ICU, intensive care unit.
bModel includes the following confounding variables: gender and surgery before infection.
cModel includes the following confounding variable: malignancy and length of stay before infection.
dModel includes the following confounding variables: length of stay before cohort inclusion.
eFor length of hospital stay and cost, OR represents multiplicative effect.
fBefore infection for cases and before index date for controls.
   
     
   
Comments to the Authors

Please use the form below to submit correspondence to the authors or contact them at the following address:

Ying-Hen Hsieh, Department of Applied Mathematics, National Chung Hsing University, 250 Kuo-Kuang Rd., Taichung, Taiwan 402; fax: 886-4-22853949; email: hsieh@amath.nchu.edu.tw

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