EUROPEAN JOURNAL OF
PHARMACEUTICAL AND MEDICAL RESEARCH

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical, Medical & Biological Sciences

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

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 ISSN 2394-3211

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 ICV - 79.57

Abstract

PREDICTORS OF IN HOSPITAL MORTALITY OF ACUTE MYOCARDIAL INFARCTION

Eliverta Zera ?, Ira Xhemollari, Sonila Xinxo

ABSTRACT

Background: Acute Myocardial infarction (AMI) is the main cause of death in the world. Survival is markedly influenced by age of the patient, sex, presence of different risk factors and complications that patients develop after myocardial infarction. Aim.To investigate the predictors of in hospital fatal outcome among patient with AMI. Methods: Four hundreds and ninety-nine patients with AMI, hospitalized in Cardiology Department of Durres Hospital, Albania during October 2011 to October 2014, were divided in two groups: survived and deceased (patients deceased during hospitalization due to AMI). The impact of the risk factors (age, gender, smoking, hypertension, diabetes mellitus, multi vessels disease, Killip class, level of creatinemia) in hospital mortality was evaluated by using logistic regression analysis and correlation technique. A p value <0.05 was considered statistically significant. Results: Out of 499 patients, 346 (69.3%) were males and 64 (30.7%) were females. The mean age was 65.5 ±11.4 years. Fifty one (10.3%) patients died during hospitalization due to AMI. The age group > 70 years old increased the likelihood of dying in hospital with 2-3 times (OD=2.2, OD=3.1 p <0.05) compared to other groups of age (respectively 60-70 years old and less than 60 years old). Being female and use of smoking is associated with a higher risk of 2.5 (OD=2.5 p<0.05) of in hospital mortality. Killip Class >II increased 11 times the likelihood of in hospital mortality (OD=1, p<0.05). In addition, a multi-vessel disease is associated with an increased about 8 times the likelihood of in hospital mortality (OD=7.8, p<0.05). Meanwhile, the presence of diabetes or high blood pressure did not impact on hospital mortality rate among in patients with an AMI. The coefficient of correlation for relationship between level of creatinemia and occurrence of fatal income is 0.293 (p<0.05). Conclusions: Age, gender, Killip class >II, multi-vessel disease and smoking should be considered as predictors of in-hospital mortality after an episode of AMI. In addition, a high level of creatinemia is predictor of in-hospital mortality.

Keywords: acute myocardial infarction, in-hospital mortality, predictor.


[Full Text Article]

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Google Scholar Indian Science Publications InfoBase Index (In Process) SOCOLAR, China Research Bible, Fuchu, Tokyo. JAPAN International Society for Research activity (ISRA) Scientific Indexing Services (SIS) Polish Scholarly Bibliography Global Impact Factor (GIF) (Under Process) Universal Impact Factor International Scientific Indexing (ISI), UAE Index Copernicus CAS (A Division of American Chemical Society) USA (Under Process) Directory of Open Access Journal (DOAJ, Sweden, in process) UDLedge Science Citation Index CiteFactor Directory Of Research Journal Indexing (DRJI) Indian citation Index (ICI) Journal Index (JI, Under Process) Directory of abstract indexing for Journals (DAIJ) Open Access Journals (Under Process) Impact Factor Services For International Journals (IFSIJ) Cosmos Impact Factor Jour Informatics (Under Process) Eurasian Scientific Journal Index (ESJI) International Innovative Journal Impact Factor (IIJIF) Science Library Index, Dubai, United Arab Emirates Pubmed Database [NLM ID: 101669306] (Under Process) IP Indexing (IP Value 2.40) Web of Science Group (Under Process) Directory of Research Journals Indexing Scholar Article Journal Index (SAJI) International Scientific Indexing ( ISI )