Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome
Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort...
Ausführliche Beschreibung
Autor*in: |
Huang-Pin Wu [verfasserIn] Shaw-Woei Leu [verfasserIn] Shih-Wei Lin [verfasserIn] Chen-Yiu Hung [verfasserIn] Ning-Hung Chen [verfasserIn] Han-Chung Hu [verfasserIn] Chung-Chi Huang [verfasserIn] Kuo-Chin Kao [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Diagnostics - MDPI AG, 2012, 13(2023), 7, p 1226 |
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Übergeordnetes Werk: |
volume:13 ; year:2023 ; number:7, p 1226 |
Links: |
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DOI / URN: |
10.3390/diagnostics13071226 |
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Katalog-ID: |
DOAJ089390342 |
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10.3390/diagnostics13071226 doi (DE-627)DOAJ089390342 (DE-599)DOAJ2ef6a54e2da64e9ba60d082303a24bea DE-627 ger DE-627 rakwb eng R5-920 Huang-Pin Wu verfasserin aut Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. driving pressure mechanical power mortality acute respiratory distress syndrome Medicine (General) Shaw-Woei Leu verfasserin aut Shih-Wei Lin verfasserin aut Chen-Yiu Hung verfasserin aut Ning-Hung Chen verfasserin aut Han-Chung Hu verfasserin aut Chung-Chi Huang verfasserin aut Kuo-Chin Kao verfasserin aut In Diagnostics MDPI AG, 2012 13(2023), 7, p 1226 (DE-627)718627814 (DE-600)2662336-5 20754418 nnns volume:13 year:2023 number:7, p 1226 https://doi.org/10.3390/diagnostics13071226 kostenfrei https://doaj.org/article/2ef6a54e2da64e9ba60d082303a24bea kostenfrei https://www.mdpi.com/2075-4418/13/7/1226 kostenfrei https://doaj.org/toc/2075-4418 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1226 |
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10.3390/diagnostics13071226 doi (DE-627)DOAJ089390342 (DE-599)DOAJ2ef6a54e2da64e9ba60d082303a24bea DE-627 ger DE-627 rakwb eng R5-920 Huang-Pin Wu verfasserin aut Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. driving pressure mechanical power mortality acute respiratory distress syndrome Medicine (General) Shaw-Woei Leu verfasserin aut Shih-Wei Lin verfasserin aut Chen-Yiu Hung verfasserin aut Ning-Hung Chen verfasserin aut Han-Chung Hu verfasserin aut Chung-Chi Huang verfasserin aut Kuo-Chin Kao verfasserin aut In Diagnostics MDPI AG, 2012 13(2023), 7, p 1226 (DE-627)718627814 (DE-600)2662336-5 20754418 nnns volume:13 year:2023 number:7, p 1226 https://doi.org/10.3390/diagnostics13071226 kostenfrei https://doaj.org/article/2ef6a54e2da64e9ba60d082303a24bea kostenfrei https://www.mdpi.com/2075-4418/13/7/1226 kostenfrei https://doaj.org/toc/2075-4418 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1226 |
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10.3390/diagnostics13071226 doi (DE-627)DOAJ089390342 (DE-599)DOAJ2ef6a54e2da64e9ba60d082303a24bea DE-627 ger DE-627 rakwb eng R5-920 Huang-Pin Wu verfasserin aut Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. driving pressure mechanical power mortality acute respiratory distress syndrome Medicine (General) Shaw-Woei Leu verfasserin aut Shih-Wei Lin verfasserin aut Chen-Yiu Hung verfasserin aut Ning-Hung Chen verfasserin aut Han-Chung Hu verfasserin aut Chung-Chi Huang verfasserin aut Kuo-Chin Kao verfasserin aut In Diagnostics MDPI AG, 2012 13(2023), 7, p 1226 (DE-627)718627814 (DE-600)2662336-5 20754418 nnns volume:13 year:2023 number:7, p 1226 https://doi.org/10.3390/diagnostics13071226 kostenfrei https://doaj.org/article/2ef6a54e2da64e9ba60d082303a24bea kostenfrei https://www.mdpi.com/2075-4418/13/7/1226 kostenfrei https://doaj.org/toc/2075-4418 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1226 |
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10.3390/diagnostics13071226 doi (DE-627)DOAJ089390342 (DE-599)DOAJ2ef6a54e2da64e9ba60d082303a24bea DE-627 ger DE-627 rakwb eng R5-920 Huang-Pin Wu verfasserin aut Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. driving pressure mechanical power mortality acute respiratory distress syndrome Medicine (General) Shaw-Woei Leu verfasserin aut Shih-Wei Lin verfasserin aut Chen-Yiu Hung verfasserin aut Ning-Hung Chen verfasserin aut Han-Chung Hu verfasserin aut Chung-Chi Huang verfasserin aut Kuo-Chin Kao verfasserin aut In Diagnostics MDPI AG, 2012 13(2023), 7, p 1226 (DE-627)718627814 (DE-600)2662336-5 20754418 nnns volume:13 year:2023 number:7, p 1226 https://doi.org/10.3390/diagnostics13071226 kostenfrei https://doaj.org/article/2ef6a54e2da64e9ba60d082303a24bea kostenfrei https://www.mdpi.com/2075-4418/13/7/1226 kostenfrei https://doaj.org/toc/2075-4418 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1226 |
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10.3390/diagnostics13071226 doi (DE-627)DOAJ089390342 (DE-599)DOAJ2ef6a54e2da64e9ba60d082303a24bea DE-627 ger DE-627 rakwb eng R5-920 Huang-Pin Wu verfasserin aut Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. driving pressure mechanical power mortality acute respiratory distress syndrome Medicine (General) Shaw-Woei Leu verfasserin aut Shih-Wei Lin verfasserin aut Chen-Yiu Hung verfasserin aut Ning-Hung Chen verfasserin aut Han-Chung Hu verfasserin aut Chung-Chi Huang verfasserin aut Kuo-Chin Kao verfasserin aut In Diagnostics MDPI AG, 2012 13(2023), 7, p 1226 (DE-627)718627814 (DE-600)2662336-5 20754418 nnns volume:13 year:2023 number:7, p 1226 https://doi.org/10.3390/diagnostics13071226 kostenfrei https://doaj.org/article/2ef6a54e2da64e9ba60d082303a24bea kostenfrei https://www.mdpi.com/2075-4418/13/7/1226 kostenfrei https://doaj.org/toc/2075-4418 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 7, p 1226 |
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Role of Changes in Driving Pressure and Mechanical Power in Predicting Mortality in Patients with Acute Respiratory Distress Syndrome |
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Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. |
abstractGer |
Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. |
abstract_unstemmed |
Driving pressure (ΔP) and mechanical power (MP) are associated with increased mortality in patients with acute respiratory distress syndrome (ARDS). We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. In conclusion, calculating change in ΔP is easy for respiratory therapists in clinical practice and may be used to predict mortality in patients with ARDS. |
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We aimed to investigate which was better to predict mortality between changes in ΔP and MP. We reanalyzed data from a prospective observational cohort study of patients with ARDS in our hospital. Serial ΔP and MP values were calculated. The factors associated with survival were analyzed. Binary logistic regression showed that age (odds ratio (OR), 1.012; 95% confidence interval (CI), 1.003–1.022), Sequential Organ Failure assessment (SOFA) score (OR, 1.144; 95% CI, 1.086–1.206), trauma (OR, 0.172; 95% CI, 0.035–0.838), ΔP (OR, 1.077; 95% CI, 1.044–1.111), change in ΔP (OR, 1.087; 95% CI, 1.054–1.120), and change in MP (OR, 1.018; 95% CI, 1.006–1.029) were independently associated with 30-day mortality. Change in MP, change in ΔP, and SOFA scores were superior to ΔP in terms of the accuracy of predicting 30-day mortality. 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