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1.
J Cardiovasc Med (Hagerstown) ; 16(3): 238-45, 2015 Mar.
Article in English | MEDLINE | ID: mdl-25111771

ABSTRACT

INTRODUCTION: Thirty-day readmission rates after percutaneous coronary intervention (PCI) have been related to adverse prognosis, and represent one of the most investigated indicators of quality of care. These data, however, derive from non-European centers evaluating all-cause readmissions, without stratification for diagnosis. METHODS: All consecutive patients undergoing PCI at our center from January 2009 to December 2011 were enrolled. Thirty-day readmissions related to postinfarction angina, myocardial infarction, unstable angina or heart failure were defined as acute coronary syndrome (ACS) or heart failure rehospitalizations. Major cardiac adverse event (MACE) was the primary outcome, and its single components (death, myocardial infarction and repeated revascularization) the secondary ones. RESULTS: A total of 1192 patients were included; among them, 53 (4.7%) were readmitted within 30 days, and 25 (2.1%) were classified as ACS/heart failure related. During hospitalization, patients with ACS/heart failure readmissions were more likely to suffer a periprocedural myocardial infarction (22 vs. 4%; P = 0.012), and to undergo PCI at 30 days (52 vs. 0.5%; P < 0.001). Logistic regression analysis indicated that periprocedural myocardial infarction represented the only independent predictor of an ACS/heart failure readmission [odds ratio (OR) 4.5; 1.1-16.8; P = 0.047]. After a median follow-up of 787 days (434-1027; first and third quartiles), patients with a 30-day ACS/heart failure readmission experienced higher rates of MACE, all-cause death and myocardial infarction (64 vs. 21%, P < 0.001; 28 vs. 6%, P = 0.017; and 20 vs. 2.7%, P < 0.001, respectively). Cox multivariate analysis indicated that ACS/heart failure 30-day readmissions were independently related to an increased risk of all-cause death (OR 3.3; 1.1-8.8; P = 0.02), differently from 30-day non-ACS/heart failure readmissions (OR 3.1; 0.7-12.9; P = 0.12). CONCLUSION: Thirty-day readmissions after PCI in an Italian center are infrequent, and only those patients with ACS/heart failure show a detrimental impact on prognosis who have periprocedural myocardial infarction as the only independent predictor.


Subject(s)
Acute Coronary Syndrome/surgery , Patient Readmission/statistics & numerical data , Percutaneous Coronary Intervention/statistics & numerical data , Acute Coronary Syndrome/diagnosis , Aged , Female , Humans , Italy , Male , Prognosis , Retrospective Studies
2.
J Telemed Telecare ; 19(1): 33-5, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23454822

ABSTRACT

We evaluated the benefits of teleconsulting for patients hospitalised with minor head injuries in centres without neurosurgery. In the Piedmont region, 1462 consultation requests were received at specialist centres in 2009, relating to 519 patients with a minor head injury diagnosis (ICD 850-854). These were compared with the details of 1895 patients admitted with the same diagnosis during 2009, but for whom no consultations were requested. The mortality risk in the two groups was estimated using logistic regression, after adjusting for the principal confounding factors (sex, age, seriousness of the patient's injury at diagnosis, referral centre). The estimated risk of death for patients for whom no consultation was requested was an odds ratio of 1.32 (95% CI 1.08 to 1.74) compared to those who received a teleconsultation. However, after adjusting for the confounding factors, the risk was not significant (odds ratio = 1.25, 95% CI 0.83 to 1.91). A stratified analysis identified a significant effect for elderly people, aged over 70 years, in whom the odds ratio was 1.14 (95% CI 1.04 to 1.82). The results confirm the benefits of telemedicine, in particular for elderly patients, when teleconsultation is requested in the case of minor head injury.


Subject(s)
Craniocerebral Trauma/diagnosis , Remote Consultation/standards , Aged , Aged, 80 and over , Craniocerebral Trauma/mortality , Female , Hospitalization , Humans , Likelihood Functions , Logistic Models , Male , Prognosis , ROC Curve
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