Volume 17, Issue 1 (4-2020)
J Res Dev Nurs Midw 2020, 17(1): 1-11 |
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1- School of nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, Iran.
2- Department of Biostatistics, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
3- Nursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran. , Khoddam@Goums.ac.ir
2- Department of Biostatistics, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
3- Nursing Research Center, Golestan University of Medical Sciences, Gorgan, Iran. , Khoddam@Goums.ac.ir
Abstract: (3668 Views)
Background: One of the important criteria in patients receiving artificial respiration is the time of weaning from the mechanical ventilator. As physician’s decision might be somehow subjective, several tools have been suggested for prediction of the time of weaning more objectively. This study aimed to determine the predictive value of Persian Weaning Tool (PWT) compared with Physician- directed approach as the gold standard.
Methods: This diagnostic accuracy study was done in 2016-2017 in Two Medical and Educational Centers of Gorgan, Iran. 97 admitted patients in intensive care units, under mechanical ventilation were evaluated. The patients were recruited into the study by a convenience sampling method and evaluated for readiness to wean using two approaches (physician’s decision and using PWT). Successful weaning was considered as the ability of patient to breathe spontaneously during the first 48 hours after weaning. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR), as well as the agreement (kappa coefficient) between the two approaches, were calculated. In addition, to compare the differences between variables in two groups, chi-Square, T and man-Whitney tests were used. All analyses were performed using SPSS software ver.16, and MedCalc program ver.13. P<0.05 was considered as statistically significant.
Results: Most patients (64.9%) were men. The mean age, duration of hospital admission, and duration of mechanical ventilation of the participants were 46.49±18.15 years, 67.11±7.14 days, and 31.5±2.5 days, respectively. Weaning was successful in 87.6% of the patients. PWT had a significant agreement with the physician’s choice (kappa coefficient=0.637, P<0.001) with sensitivity, specificity, PPV, NPV, PLR, and NLR of 100%, 50%, 93.4%, 100%, 2, and 0, respectively. The cut-off level of 53 was considered as the best point to improve the diagnostic accuracy to 92.94%, 75%, 96.3%, 60%, 3.72, and 0.094, respectively.
Conclusions: Findings showed that PWT is an accurate tool for predicting the readiness of patients for weaning objectively. This tool can be used as a complementary approach by physicians and other care providers in intensive care units.
Methods: This diagnostic accuracy study was done in 2016-2017 in Two Medical and Educational Centers of Gorgan, Iran. 97 admitted patients in intensive care units, under mechanical ventilation were evaluated. The patients were recruited into the study by a convenience sampling method and evaluated for readiness to wean using two approaches (physician’s decision and using PWT). Successful weaning was considered as the ability of patient to breathe spontaneously during the first 48 hours after weaning. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR), as well as the agreement (kappa coefficient) between the two approaches, were calculated. In addition, to compare the differences between variables in two groups, chi-Square, T and man-Whitney tests were used. All analyses were performed using SPSS software ver.16, and MedCalc program ver.13. P<0.05 was considered as statistically significant.
Results: Most patients (64.9%) were men. The mean age, duration of hospital admission, and duration of mechanical ventilation of the participants were 46.49±18.15 years, 67.11±7.14 days, and 31.5±2.5 days, respectively. Weaning was successful in 87.6% of the patients. PWT had a significant agreement with the physician’s choice (kappa coefficient=0.637, P<0.001) with sensitivity, specificity, PPV, NPV, PLR, and NLR of 100%, 50%, 93.4%, 100%, 2, and 0, respectively. The cut-off level of 53 was considered as the best point to improve the diagnostic accuracy to 92.94%, 75%, 96.3%, 60%, 3.72, and 0.094, respectively.
Conclusions: Findings showed that PWT is an accurate tool for predicting the readiness of patients for weaning objectively. This tool can be used as a complementary approach by physicians and other care providers in intensive care units.
Keywords: Mechanical Ventilation weaning [MeSH], Predictive Value of Tests [MeSH], Persian [MeSH], Tool
Type of Study: Original Article |
Subject:
Nursing
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