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Predictive Factors for Cardiopulmonary Resuscitation Failure
OBJECTIVES: Patients with chronic diseases are often admitted to the hospital through the emergency room of the hospital because of complaints of dyspnoea, urinary retention, decreased consciousness and cardiac arrest requiring resuscitation. The purpose of this study is to find predictive factors f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Scientific Scholar
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655672/ https://www.ncbi.nlm.nih.gov/pubmed/34898936 http://dx.doi.org/10.25259/IJPC_447_20 |
Sumario: | OBJECTIVES: Patients with chronic diseases are often admitted to the hospital through the emergency room of the hospital because of complaints of dyspnoea, urinary retention, decreased consciousness and cardiac arrest requiring resuscitation. The purpose of this study is to find predictive factors for failure of cardiopulmonary resuscitation (CPR) in patients of chronic diseases. MATERIALS AND METHODS: This cross-sectional study took medical records of patients who were carried out from primary healthcare center in Yogyakarta from 2017 to 2019. Bivariate statistical analysis used Fisher’s exact test to determine the relative risk; if P < 0.25, then multivariate analysis with logistic regression continued with the backward method to obtain the odds ratio (OR). RESULTS: The results indicate that cardiac arrest patients with sepsis are most likely to fail at CPR, whereas male patients are 9.1 times (OR 9.1); patients with acidosis, 8.1 times (OR 8.1); and patients with asystole heart rhythm, 7.8 times (OR 7.8, P < 0.05). We can conclude that male patients with sepsis, acidosis or asystole heart rhythm will almost certainly fail to receive resuscitation. CONCLUSION: Sepsis or septic shock, the male gender, acidosis, and asystole rhythm can be determinants of mortality in patients with chronic diseases who undergo CPR. It is necessary for one to test the application of the checklist or data from other hospitals and score the predictive factors to make the determination of the success of CPR easier. |
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