Search

The screening performance of urine flow cytometry parameters (e.g., white blood cell and bacteria) for urinary tract infection (UTI) has been widely recognized. The majority of previous studies, however, investigated the screening performance of Sysmex UF-1000i urine flow cytometer. This study aimed to investigate the screening performance of Sysmex UF-5000 analyzer, a third-generation urinary flow cytometer, for UTI and its novel parameter named Gram flag for discriminating gram-positive and negative pathogens. Urine specimens sent to the clinical microbiology laboratory of our hospital for bacterial culture between September 13, 2021, and November 15, 2021, were prospectively and consecutively collected. The Sysmex UF-5000 analyzer was used to determine urine white blood cell (WBC) and bacteria simultaneously. A chemical strip was used to assess urine nitrate. UTI was defined as positive urine bacterial culture > 104 CFU /ml. The receiver operating characteristics (ROC) curve, nomogram, decision tree, and decision curve were used to determine the screening performance of urine WBC, nitrate, and bacterial. A total of 246 UTIs and 425 non-UTIs were enrolled. The areas under the ROC curve (AUCs) for WBC and bacterial were 0.74 and 0.86, respectively. The decision curve showed that urine bacteria had a higher benefit than WBC. The nomogram indicated that urine bacterial had the largest effect on the probability of UTI. The sensitivity and specificity of the decision tree were 0.69 and 0.95, respectively. The flag of Gram-negative had a positive predictive value (PPV) of 0.93 in patients with urine bacteria > 1367 /μl. Therefore, we conclude that urine bacteria determined by the Sysmex UF-5000 had higher screening performance and greater benefit than WBC. The decision tree can be used to improve the screening performance of routine urinary parameters. The flag of Gram-negative is a reliable indicator to confirm gram-negative bacteria infection in UTI patients. [ABSTRACT FROM AUTHOR]

The prognostic value of red blood cell distribution width (RDW) in critical illness remains controversial. The aim of this study was to investigate the prognostic value of on-admission RDW for in-hospital and 4-year mortality in adults with critical illness. This is a retrospective cohort study from the Medical Information Mart for Intensive Care III (MIMIC III) database (version 1.4). Patients admitted to the intensive care unit (ICU) for the first time were included. Their on-admission RDW and severity scores were extracted with the Structured Query Language (SQL). The patients were categorized into a training set and a validation set. The relation of RDW to in-hospital and 4-year all-cause mortality was analyzed using receiver operating characteristic (ROC) curve, Kaplan-Meier curve, Cox model, net reclassification index (NRI), integrated discriminatory index (IDI) and nomogram. A total of 36,532 patients (21,090 in training and 15,442 in validation set) were included in this study. Increased RDW was significantly associated with higher in-hospital and 4-year mortality. The prognostic value of RDW for 4-year mortality was independent of conventional severity scores. Using conventional severity scores as covariates the continuous NRI and IDI of RDW for in-hospital mortality were around 0.3–0.5 and 0.01–0.03, respectively. For 4-year mortality the NRI was around 0.2–0.3 and IDIs was around 0.03–0.08. Admission RDW predicts both in-hospital and 4-year mortality in adult patients with critical illness admitted in the ICU, and can provide additional prognostic values beyond conventional clinical severity scores. • The long-term prognostic value of RDW in critical illness remains unclear. • We analyzed the association between RDW and 4-year mortality in 36,532 patients with critical illness. • Increased RDW was associated with high all-cause mortality in critical illness. • RDW provided additional prognostic information beyond conventional severity scores. [ABSTRACT FROM AUTHOR]