ObjectiveTo evaluate the value of blood urea nitrogen to creatinine ratio (UCR) in predicting the condition and prognosis of severe pneumonia patients.MethodsA total of 408 patients with severe pneumonia hospitalized in the intensive care unit (ICU) of Fangcun branch of Guangdong Provincial Hospital of traditional Chinese medicine from January 1, 2017 to August 1, 2020 were retrospectively collected. The patients were divided into a survival group (320 cases) and a death group (88 cases) according to the outcome of hospitalization. This study analyzed the relationship between UCR level and general information, condition, and treatment needs of severe pneumonia patients; and compared UCR, the value of neutrophil to lymphocyte ratio, the levels of hematocrit, C-reactive protein, procalcitonin and D-dimer, and the scores of Acute Physiology and Chronic Health EvaluationⅡ and Pneumonia Severity Index between the survival group and the death group. Receiver operating characteristic (ROC) curve was used to analyze the prognostic value of the above indicators. Logistic regression was used to analyze the risk factors of death of severe pneumonia.ResultsThe age of the patients died of severe pneumonia was higher than that of the survival patients (P<0.05); The mortality rate of severe hospital acquired pneumonia was higher than that of severe community acquired pneumonia (P<0.05); The level of UCR was higher in the patients over 70 years old (P<0.05); UCR level of the severe pneumonia patients with acute exacerbation of chronic obstructive pulmonary disease or multiple organ dysfunction syndrome during hospitalization was higher (P<0.05); The UCR level was higher in the patients with severe pneumonia whose ICU stay was more than 10 days (P<0.05); The UCR level of the severe pneumonia patients with mechanical ventilation longer than 180 hours was higher (P<0.05); UCR level of the severe pneumonia patients who died during hospitalization was higher than that of the survival group (P<0.05); The area under ROC curve of UCR for predicting death in the patients with severe pneumonia was 0.648 (95%CI 0.576 - 0.719), the cut-off value was 108.74, the sensitivity was 47.7%, and the specificity was 77.8% (P<0.05). PSI > level 3 (OR=4.297, 95%CI 2.777 - 6.651) and UCR > 108.74 (OR=0.545, 95%CI 0.332 - 0.896) were independent risk factors for death in the patients with severe pneumonia (P<0.05).ConclusionUCR has certain value in evaluating the condition and prognosis of severe pneumonia patients.
目的:腎功能不全在急性冠脈綜合癥及其它心血管疾病中通常伴隨著較高的死亡率。而血漿尿素氮是反映血液動力學改變及腎臟灌注改變的非常敏感的指標。本試驗研究血漿尿素氮水平的高低對于急性ST段抬高型心肌梗塞患者死亡率的預測作用。方法:研究300名患急性ST段抬高型心肌梗塞患者長程的死亡率與入院時血漿尿素氮水平及住院時血漿尿素氮水平升高之間的關系。結果:在平均隨訪27個月,56(185%)個患者死亡。使用生存分析對于血漿尿素氮水平升高與血漿尿素氮水平正常兩組患者進行研究,用log-rank檢驗將兩組數據進行比較,有明顯統計學意義,Plt;0.001。結論:對于患急性ST段抬高型心肌梗塞患者的長期死亡率,入院時的血漿尿素氮水平是一個獨立的預測因素。BUN和BUN/creatinine比值的增高也能對患急性ST段抬高型心肌梗塞患者的長期死亡率提供一定的預測信息。同時,住院期間的BUN增高對于患急性ST段抬高型心肌梗塞患者的長期死亡率也能夠提供額外的預測信息。
Objective To evaluate the predictive value of CURB-65 score combined with blood urea nitrogen to albumin ratio (B/A) for intensive care unit (ICU) admission and death in adults with community-acquired pneumonia (CAP). Methods A retrospective analysis was performed on 523 patients with CAP hospitalized in the Second Affiliated Hospital of Kunming Medical University from January 2018 to January 2022. According to whether the patients were admitted to ICU, they were divided into an ICU group (n=36) and a general ward group (n=487). The patients were divided into a death group (n=45) and a non-death group (n=478) according to the death situation during hospitalization. Basic data (age, gender, history of underlying diseases, etc.), hospital stay, antibiotic use days, CURB-65 score, white blood cell count (WBC), neutrophil count (NEUT), procalcitonin (PCT), C-reactive protein (CRP), serum albumin (Alb), blood urea nitrogen (BUN), and BUN to Alb ratio (B/A) of the two groups were compared respectively. Receiver operating characteristic (ROC) curve were plotted to evaluate the predictive value of CURB-65 score, B/A, and their combination for death during ICU admission and hospitalization in patients with CAP. Logistic regression was used to analyze risk factors for in-hospital death in the patients with CAP. Results The number of days in hospital, the number of days of antibiotic use, the number of deaths during hospitalization, the proportion of hypertension, diabetes, CURB-65 score, WBC, NEUT, PCT, CRP, BUN and B/A in the ICU group were significantly higher than those in the general ward group. Age, male, combined hypertension, diabetes, coronary heart disease, ICU admission, CURB-65 score, WBC, NEUT, PCT, CRP, BUN and B/A in the death group were significantly higher than those in the non-death group, and Alb in the ICU group and the death group were significantly lower (all P<0.05). Correlation analysis showed that B/A was positively correlated with PCT, CRP, WBC, NEUT and CURB-65 scores (correlation coefficient r values were 0.486, 0.291, 0.260, 0.310, 0.666, all P<0.001). The area under ROC curve of CURB-65 combined with B/A to predict ICU admission and death of CAP patients was 0.862 (95%CI 0.807 - 0.918, sensitivity 91.7%, specificity 66.4%) and 0.908 (95%CI 0.864 - 0.952, sensitivity 93.3%, specificity 75.7%), respectively. Multivariate logistic regression analysis showed that diabetes, high CURB-65 score, low Alb level and B/A≥4.755 mg/g were independent risk factors for death of CAP patients during hospitalization (P<0.05). Conclusions There is a significant correlation between elevated B/A and ICU demand and mortality in CAP patients. Combined use can improve the predictive value of CURB-65 score for ICU admission and mortality in CAP patients.
Objective To identify independent risk factors for in-hospital all-cause mortality in patients with sepsis and to integrate them into the quick Sequential Organ Failure Assessment (qSOFA) score to construct modified models, thereby improving the ability of the original qSOFA to predict mortality risk. Methods This retrospective study included adult patients who met the Sepsis-3 criteria for sepsis and were admitted to the Intensive Care Unit or Emergency Intensive Care Unit of Zigong Fourth People’ s Hospital between January 2018 and December 2023. Demographic characteristics, vital signs, comorbidities, and laboratory parameters were collected, and the Sequential Organ Failure Assessment (SOFA) and qSOFA scores were calculated. Multivariable logistic regression analysis was used to identify independent predictors of in-hospital mortality. Independent predictors were dichotomized according to cut-off values derived from receiver operating characteristic (ROC) curves and combined with qSOFA to construct new models. The ROC analysis with bootstrap validation was used to assess predictive performance, and comparative performance was further evaluated using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Results A total of 218 patients were included. Multivariable logistic regression analysis identified blood urea nitrogen (BUN) [odds ratio (OR)=1.100, 95% confidence interval (CI) (1.040, 1.170)] and qSOFA [OR=2.610, 95%CI (1.450, 4.920)] as independent risk factors for in-hospital mortality, whereas high-density lipoprotein cholesterol (HDL-C) was an independent protective factor [OR=0.250, 95%CI (0.065, 0.841)]. After dichotomization by ROC-derived cut-off values, BUN and HDL-C were incorporated into qSOFA to generate B-qSOFA, H-qSOFA, and BH-qSOFA. Bootstrap ROC analysis showed that BH-qSOFA exhibited the highest discriminatory ability compared with all combined models as well as the conventional SOFA and qSOFA scores [area under the curve=0.803, 95%CI (0.735, 0.863)]. NRI and IDI analyses demonstrated that BH-qSOFA provided incremental prognostic improvement over qSOFA (NRI=0.969, IDI=0.165), B-qSOFA (NRI=0.644, IDI=0.054), and H-qSOFA (NRI=0.804, IDI=0.091) (all P<0.05). Conclusions Elevated BUN and qSOFA and decreased HDL-C are independent predictors of in-hospital mortality in sepsis. The BH-qSOFA model is simple and clinically practical, exhibits superior predictive performance over the original qSOFA. It may serve as a useful early instrument for prognostic risk stratification in patients with sepsis.