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Objective To investigate the risk factors of renal inadequacy after postpartum hemorrhage. Methods According to the diagnostic criteria of postpartum hemorrhage, 200 cases of postpartum hemorrhage who were admitted to the Intensive Care Unit from January 2010 to December 2014 were collected. The general situation, history of pregnancy induced hypertension and gestational diabetes mellitus, ASA classification, anesthesia method, delivery mode, postpartum hemorrhage and other indicators. The risk factors were analyzed by logistic regression.Results Among 200 cases of postpartum hemorrhage who were admitted in the intensive care unit, 21 cases with renal insufficiency were seenafter delivery (10.5%) aged between 20 and 44 years old with the average age of (29.24 ±4.58) years old. Using the ASA evaluation criteria to evaluate the preoperative situation, we observed179 cases in ASA grade levelⅠ (89.5%), 20 casesin level Ⅱ (10%), one casein level Ⅲ (0.5%) and no case in grade Ⅳ. Among all the women, we found 147 cases of vaginal delivery (73.5%), 53 cases of cesarean section (26.5%),196 cases of spinal anesthesia (including labor analgesia) (98%) and 4 casesof general anesthesia (2%) . There were 12 patients with hypertension during pregnancy (6%), and 188 patients without hypertension (94%) . There were 9 cases of gestational diabetes mellitus (4.5%), and 191patients without gestational diabetes mellitus (95.5%).Conclusions The risk factors of renal insufficiency after postpartum hemorrhage were: age older than 35 years, cesarean delivery, pregnancy history of hypertension or gestational diabetes mellitus.
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<p><b>BACKGROUND</b>Urine output (UO) is an essential criterion of the Kidney Disease Improving Global Outcomes (KDIGO) definition and classification system for acute kidney injury (AKI), of which the diagnostic value has not been extensively studied. We aimed to determine whether AKI based on KDIGO UO criteria (KDIGOUO) could improve the diagnostic and prognostic accuracy, compared with KDIGO serum creatinine criteria (KDIGOSCr).</p><p><b>METHODS</b>We conducted a secondary analysis of the database of a previous study conducted by China Critical Care Clinical Trial Group (CCCCTG), which was a 2-month prospective cohort study (July 1, 2009 to August 31, 2009) involving 3063 patients in 22 tertiary Intensive Care Units in Mainland of China. AKI was diagnosed and classified separately based on KDIGOUOand KDIGOSCr. Hospital mortality of patients with more severe AKI classification based on KDIGOUOwas compared with other patients by univariate and multivariate regression analyses.</p><p><b>RESULTS</b>The prevalence of AKI increased from 52.4% based on KDIGOSCrto 55.4% based on KDIGOSCrcombined with KDIGOUO. KDIGOUOalso resulted in an upgrade of AKI classification in 7.3% of patients, representing those with more severe AKI classification based on KDIGOUO. Compared with non-AKI patients or those with maximum AKI classification by KDIGOSCr, those with maximum AKI classification by KDIGOUOhad a significantly higher hospital mortality of 58.4% (odds ratio [OR]: 7.580, 95% confidence interval [CI]: 4.141-13.873, P< 0.001). In a multivariate logistic regression analysis, AKI based on KDIGOUO (OR: 2.891, 95% CI: 1.964-4.254, P< 0.001), but not based on KDIGOSCr (OR: 1.322, 95% CI: 0.902-1.939, P = 0.152), was an independent risk factor for hospital mortality.</p><p><b>CONCLUSION</b>UO was a criterion with additional value beyond creatinine criterion for AKI diagnosis and classification, which can help identify a group of patients with high risk of death.</p>
Assuntos
Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Doença Aguda , Mortalidade , Creatinina , Sangue , Estado Terminal , Mortalidade , Mortalidade Hospitalar , Estimativa de Kaplan-Meier , Nefropatias , Sangue , Mortalidade , Patologia , Urina , Modelos Logísticos , Prognóstico , Estudos Prospectivos , Fatores de RiscoRESUMO
<p><b>BACKGROUND</b>Acute kidney injury (AKI) has been recognized as a major healthcare problem affecting millions of patients worldwide. However, epidemiologic data concerning AKI in China are still lacking. The objectives of this study were to characterize AKI defined by RIFLE criteria, assess the association with hospital mortality, and evaluate the impact of AKI in the context of other risk factors.</p><p><b>METHODS</b>This prospective multicenter observational study enrolled 3,063 consecutive patients from 1 July 2009 to 31 August 2009 in 22 ICUs across mainland China. We excluded patients who were admitted for less than 24 hours (n = 1623), younger than 18 years (n = 127), receiving chronic hemodialysis (n = 29), receiving renal transplantation (n = 1) and unknown reasons (n = 28). There were 1255 patients in the final analysis. AKI was diagnosed and classified according to RIFLE criteria.</p><p><b>RESULTS</b>There were 396 patients (31.6%) who had AKI, with RIFLE maximum class R, I, and F in 126 (10.0%), 91 (7.3%), and 179 (14.3%) patients, respectively. Renal function deteriorated in 206 patients (16.4%). In comparison with non AKI patients, patients in the risk class on ICU admission were more likely to progress to the injury class (odds ratio (OR) 3.564, 95% confidence interval (CI) 1.706 - 7.443, P = 0.001], while patients in the risk class (OR 5.215, 95% CI 2.798-9.719, P < 0.001) and injury class (OR 13.316, 95% CI 7.507-23.622, P < 0.001) had a significantly higher probability of deteriorating into failure class. The adjusted hazard ratios for 90-day mortality were 1.884 for the risk group, 3.401 for the injury group, and 5.306 for the failure group.</p><p><b>CONCLUSIONS</b>The prevalence of AKI was high among critically ill patients in Chinese ICUs. In comparison with non-AKI patients, patients with RIFLE class R or class I on ICU admission were more susceptibility to progression to class I or class F. The RIFLE criteria were robust and correlated well with clinical deterioration and mortality.</p>