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ORIGINAL ARTICLE10-09-2023
Glycemic variability and mortality in oncologic intensive care units
Revista Brasileira de Enfermagem. 2023;76(4):e20220812
Abstract
ORIGINAL ARTICLEGlycemic variability and mortality in oncologic intensive care units
Revista Brasileira de Enfermagem. 2023;76(4):e20220812
DOI 10.1590/0034-7167-2022-0812
Views0See moreABSTRACT
Objective:
This study aimed to investigate the association between glycemic variability and mortality in patients admitted to oncologic intensive care units.
Methods:
A retrospective cohort study was conducted using a convenience sample of 30 medical records of patients over 18 years of age of both sexes. Glycemic variability was measured using the standard deviation and general amplitude. Statistical analysis was performed using the receiver operating characteristic (ROC) curve and the area under the curve (AUC). The significance level (α) was set at 5% with a confidence interval (CI) of 95%.
Results:
The study included 14 male patients (46.67%) with a mean age of 60±15 years. A total of 1503 blood glucose samples were collected. The AUC analysis for the standard deviation did not show a statistically significant result (p=.966; 95% CI=[0.283, 0.726]). In contrast, the general amplitude had a statistically significant association with mortality (p=.049; 95% CI=[0.514, 0.916]).
Conclusions:
This study found that glycemic variability measured by the general amplitude was significantly associated with patient mortality in oncologic intensive care units. These findings suggest that monitoring glycemic variability may be an important factor in the management of critically ill patients in oncologic intensive care units.
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01-01-2018
Decline of mortality from cervical cancer
Revista Brasileira de Enfermagem. 2018;71:585-590
Abstract
Decline of mortality from cervical cancer
Revista Brasileira de Enfermagem. 2018;71:585-590
DOI 10.1590/0034-7167-2016-0530
Views0See moreABSTRACT
Objective:
To describe occurrences of mortality due to cervical cancer in Recife (PE), in northeastern Brazil.
Method:
This was a time-series ecological study using data from the Mortality Information System (SIM) regarding the total number of deaths due to cervical cancer (C53 ICD10) that occurred between 2000 and 2012.
Results:
It was observed that the risk of death due to this form of cancer was higher among women over 60 years of age, those of mixed skin color (53.24%), those who only worked at home (63.16%) and those who did not have a partner (44.32%).
Conclusion:
Additional efforts towards maintaining early detection and health education programs and towards using therapeutic strategies of greater efficiency are needed, given that mortality due to this form of cancer is considered avoidable when diagnosed early.