Clinical Characteristics and Nomogram Model of Nosocomial Infection in Patients with Newly Diagnosed Multiple Myeloma / 中国实验血液学杂志

OBJECTIVE@#To explore the clinical characteristics of nosocomial infection in newly diagnosed multiple myeloma(NDMM) patients, and establish a predictive nomogram model.@*METHODS@#The clinical data of 164 patients with MM who were treated in Shanxi Bethune Hospital from January 2017 to December 2021 were retrospectively analyzed. The clinical characteristics of infection were analyzed. Infections were grouped as microbiologically defined infections and clinically defined infections. Univariate and multivariate regression models were used to analyze the risk factors of infection. A nomogram was established.@*RESULTS@#164 patients with NDMM were included in this study, and 122 patients (74.4%) were infected. The incidence of clinically defined infection was the highest (89 cases, 73.0%), followed by microbial infection (33 cases, 27.0%). Among 122 cases of infection, 89 cases (73.0%) had CTCAE grade 3 or above. The most common site of infection was lower respiratory in 52 cases (39.4%), upper respiratory tract in 45 cases (34.1%), and urinary system in 13 cases (9.8%). Bacteria(73.1%) were the main pathogens of infection. Univariate analysis showed that ECOG ≥2, ISS stage Ⅲ, C-reactive protein ≥10 mg/L, serum Creatinine ≥177 μmol/L had higher correlation with nosocomial infection in patients with NDMM. Multivariate regression analysis showed that C-reactive protein ≥10 mg/L (P＜0.001), ECOG ≥2 (P=0.011) and ISS stage Ⅲ （P=0.024） were independent risk factors for infection in patients with NDMM. The nomogram model established based on this has good accuracy and discrimination. The C-index of the nomogram was 0.779（95%CI: 0.682-0.875）. Median follow-up time was 17.5 months, the median OS of the two groups was not reached (P=0.285).@*CONCLUSION@#Patients with NDMM are prone to bacterial infection during hospitalization. C-reactive protein ≥10 mg/L, ECOG ≥2 and ISS stage Ⅲ are the risk factors of nosocomial infection in NDMM patients. The nomogram prediction model established based on this has great prediction value.

Association between the Controlling Nutritional Status score and long-term outcome in patients with acute heart failure / 中华心血管病杂志

Objective: To evaluate the nutritional status by the Controlling Nutritional Status (CONUT) score and its association with the long-term prognosis in patients with acute heart failure (AHF). Methods: This prospective monocentric study consecutively enrolled patients admitted to our hospital for AHF from April 2012 to May 2016. Patients were divided into 3 groups based on the CONUT score at admission: normal (0-1), mild malnutrition (2-4) and moderate-severe malnutrition (5-12) groups. Baseline information was obtained and recorded within 24 hours after admission. All patients were followed up every 3 months by outpatient visit or telephone call until March 2019. The primary endpoint was all-cause mortality. The Kaplan-Meier survival curves and log-rank test were used to compare all-cause mortality between groups. Variables showing statistical significance in the univariate analysis were incorporated into multivariate Cox regression model to analyze the independent risk factors for all-cause mortality after discharge. Results: A total of 396 patients were enrolled in this study, including 114 patients with normal nutritional status, 200 patients with mild malnutrition and 82 patients with moderate-severe malnutrition. One hundred and fifty-eight patients died during a median follow-up of 34 (18, 46) months. The mortality was 32.4% (37/114), 39% (78/200) and 52.4% (43/82) in normal, mild malnutrition and moderate-severe malnutrition groups, respectively. The mortality was significantly higher in the moderate-severe malnutrition group than in normal nutrition group (P<0.05). However, there was no significant difference in mortality between normal and mild malnutrition group as well as between mild and moderate-severe malnutrition group (both P>0.05). Kaplan-Meier curves indicated that patients with high CONUT score group was at higher risk of all-cause mortality compared with those with low CONUT score (P=0.002). Cox proportional hazard analyses showed that the risk of all-cause mortality of moderate-severe malnutrition group was significantly higher than that of normal nutrition group (HR =1.648, 95%CI 1.021-2.660, P=0.041). Conclusions: The CONUT score of patients with AHF at admission is associated with the long-term prognosis. High CONUT score is an independent risk factor for all-cause mortality in AHF patients after discharge.