Clinical Study

The Need for a Specific Risk Prediction System in Native Valve Infective Endocarditis Surgery

Table 1

Bivariate correlates of hospital (30-day) mortality.

Deaths ( 𝑛 / 𝑁 ; %) 𝑃

Age: <40 years2/71 (2.8%)
  40–49 years6/146 (4.1%)
  50–59 years7/91 (7.7%) <0.001
  60–69 years10/81 (12.3%)
  70–79 years13/45 (28.9%)
  ≥80 years2/6 (33.3%)

Sex (female)16/124 (12.9%)0.10

IE Phase (active)37/365 (10.1%)0.09

Site: Aortic14/200 (7%)
Mitral9/110 (8.2%)
Tricuspid6/41 (14.6%)0.27
Mitroaortic10/71 (14.1%)
Other1/18 (5.6%)

Drug abuse2/58 (3.4%)0.07

Diabetes9/51 (17.6%)0.03

Preop. renal failure15/60 (25%)<0.001

Previous cardiac surgery4/38 (10.5%)0.17

Ejection fraction <50%9/49 (18.4%)0.03

NYHA class: I, II, or III14/350 (4.0%) <0.001
     IV18/70 (25.7%)

Pre-op. ventilatory support8/20 (40%)<0.001

Previous embolism12/142 (8.5%)0.86

Cerebral embolism7/59 (11.9%)0.46

Emergency operation17/55 (30.9%)<0.001

Positive latest preop. blood culture15/76 (19.7%)0.001

Isolated microbial agent:
 Staphylococcal spp.
7/106 (6.6%)
 Streptococcal spp.8/123 (6.5%)0.007
 Others112/55 (22%)

Perivalvular involvement16/70 (22.9%)<0.001

Valve repair2/48 (4.2%)0.38

Decade: 1980–19908/77 (10.4%) 0.33
   1990–199911/139 (7.9%)
   2000–200921/224 (9.4%)

1“Others” here includes gram-negative, corynebacteria, enterococci, fungi, multimicrobial isolates (when introduced in analysis each of these groups constituted a separate modality of the “microbial agent” variable).