6 research outputs found

    Table_2_Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study.DOCX

    No full text
    ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.</p

    Image_1_Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study.TIF

    No full text
    ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.</p

    Image_3_Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study.TIF

    No full text
    ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.</p

    Image_2_Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study.TIF

    No full text
    ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.</p

    Table_1_Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study.DOCX

    No full text
    ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.</p
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