KILLIP CLASSIFICATION DOWNLOAD
Am J Emerg Med. Jan;30(1) doi: / Epub Dec Killip classification in patients with acute coronary syndrome. Killip Classification Topic Review. The Killip Classification is frequently used during acute myocardial infarction. First published in , this system focuses on physical examination and the development of heart failure to predict risk, as described below. Killip class I includes individuals with no clinical signs of heart failure. Killip class II includes individuals with rales or crackles in the lungs, an S 3 gallop, and elevated jugular venous pressure. Killip class III describes individuals with frank acute pulmonary edema.
|Published:||22 January 2017|
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Individuals with a low Killip class are less likely to die within the first 30 days after killip classification myocardial infarction than individuals with a high Killip class.
The setting was the coronary care unit of a university hospital in the USA.
Patients killip classification a cardiac arrest prior to admission were excluded. This condition was confirmed by increased levels of myocardial necrosis biomarkers at the killip classification of AMI between andi.
When the ECG showed ST-segment depression, T-wave inversion, or nonspecific findings in serial tracings along with the increased levels of myocardial necrosis biomarkers, AMI diagnosis without persistent ST-segment elevation was confirmed.
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- Killip Class
In this study, we analyzed demographic variables age, gender, and ethnicitycardiovascular risk factors and comorbidities, physical examination information for the Killip-Kimball classification, simple hemodynamic parameters heart rate and systolic and diastolic blood pressureprevious treatments and procedures, and angiographic aspects [affected artery, Killip classification flow, extent and severity of coronary artery disease CAD in those undergoing coronary angiography].
We defined total mortality as the clinical outcome of interest, with landmark analysis at day 30 and killip classification the end of the follow-up period.
The distributions of discrete or killip classification variables are expressed as frequencies and percentages, and comparisons were calculated using chi-square or Fisher's exact test.
Analysis of killip classification clinical outcome was based on the time to occurrence of death, according to the cumulative Killip classification survival curves and depending on the Killip class.
Univariate Cox regression analysis included all demographic, clinical, and angiographic variables.
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The backward stepwise procedure enabled the identification of the independent variables for the risk of death, according to AMI type. Results Patient characteristics Killip classification main general characteristics of patients with AMI are described below killip classification well as shown in Table 1according to the Killip class.
Overall, the median age IQR was 64 Patients' characteristics and in-hospital outcomes were analyzed. In conclusion, across ACS, patients with higher Killip class had worse clinical profile and were less likely to be treated with evidence-based therapy.
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