title: Predictive score for survival after percutaneous cardiopulmonary support in cardiovascular disease patients- evaluation of pre-procedural information.
abstract: BACKGROUND
  The predictive factors for survival after percutaneous cardiopulmonary support (PCPS) are unknown.
  
  
  RESULTS
  Data for 105 patients with cardiovascular disease requiring PCPS were analyzed. The patients were divided into a survivor (n=21) or a non-survivor group (n=84). The age was significantly lower, and there were more patients with fulminant myocarditis and PCPS attempted before cardiac arrest (CA) in the survivor group. Additionally, there were fewer cases of out-of-hospital CA, and the mean time from CA to PCPS was shorter in the survivor group. On multivariate logistic regression it was found that the age and the time from CA to PCPS were independently associated with survival. A predictive scoring system was constructed that included the following: (1) age <50 years; (2) diagnosis of fulminant myocarditis; (3) no out-of-hospital CA; (4) PCPS attempted before CA; and (5) time from CA to PCPS <45 min. The predictive score was significantly higher in the survivor than in the non-survivor group (2.33 ± 1.32 vs. 1.06 ± 1.02). The sensitivity and specificity for survival were 85.7% and 66.7% when the score was ≥ 2. Kaplan-Meier survival analysis showed that any-cause death was significantly higher in patients with PCPS survival score ≤ 1 than in those with a score ≥ 2.
  
  
  CONCLUSIONS
  PCPS survival score is suitable for clinically predicting survival in patients with cardiovascular disease undergoing PCPS.
authors.affiliation: Division of Intensive Care Unit, Chiba Hokusoh Hospital, Nippon Medical School, Chiba, Japan. s6042@nms.ac.jp
authors.forename: Akihiro
authors.initials: A
authors.lastname: Shirakabe
authors.forename: Ayaka
authors.initials: A
authors.lastname: Nozaki
authors.forename: Noritake
authors.initials: N
authors.lastname: Hata
authors.forename: Nobuaki
authors.initials: N
authors.lastname: Kobayashi
authors.forename: Takuro
authors.initials: T
authors.lastname: Shinada
authors.forename: Kazunori
authors.initials: K
authors.lastname: Tomita
authors.forename: Masafumi
authors.initials: M
authors.lastname: Tsurumi
authors.forename: Masato
authors.initials: M
authors.lastname: Matsushita
authors.forename: Hirotake
authors.initials: H
authors.lastname: Okazaki
authors.forename: Yoshiya
authors.initials: Y
authors.lastname: Yamamoto
authors.forename: Shinya
authors.initials: S
authors.lastname: Yokoyama
authors.forename: Kuniya
authors.initials: K
authors.lastname: Asai
authors.forename: Kyoichi
authors.initials: K
authors.lastname: Mizuno
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D002315:Cardiopulmonary Bypass / Q000009:adverse effects*; D018572:Disease-Free Survival; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D008297:Male; D008875:Middle Aged; D009205:Myocarditis / Q000401:mortality* / Q000628:therapy; D058687:Out-of-Hospital Cardiac Arrest / Q000401:mortality* / Q000628:therapy; D011237:Predictive Value of Tests; D015996:Survival Rate; D013997:Time Factors