Predictive Value of Fibrinogen-to-Albumin Ratio for Post-Contrast Acute Kidney Injury in Patients Undergoing Elective Percutaneous Coronary Intervention.

BACKGROUND Post-contrast acute kidney injury (PC-AKI) is a contributor to adverse outcomes after percutaneous coronary intervention (PCI). This study aimed to investigate whether fibrinogen-to-albumin ratio (FAR), a novel inflammation-based risk index, can predict the occurrence of PC-AKI in patients undergoing elective PCI. MATERIAL AND METHODS We retrospectively enrolled 291 patients who underwent elective PCI from June 2017 to June 2019. PC-AKI was defined as an increase in serum creatinine ≥0.3 mg/dL (≥26.5 µmol/L), or ≥1.5 times baseline within 48 to 72 hours after PCI. The area under the receiver-operating characteristic curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated to make comparison for PC-AKI prediction. RESULTS PC-AKI occurred in 43 patients (14.8%). FAR showed an AUC of 0.691 (95% confidence interval: 0.64-0.74; P<0.001) in predicting PC-AKI. In stepwise multivariable logistic regression, FAR was independently associated with the occurrence of PC-AKI along with hypertension, diabetes, hemoglobin, estimated glomerular filtration rate, and left ventricular ejection fraction. FAR significantly improved PC-AKI prediction over Mehran risk score in the continuous NRI and IDI, but not AUC. CONCLUSIONS FAR is independently associated with the occurrence of PC-AKI, and can significantly improve PC-AKI prediction over Mehran risk score in patients undergoing elective PCI.

A novel nutritional index as a predictor of mortality in dilated cardiomyopathy: a retrospective study.

BACKGROUND: Research has associated nutritional status with the prognosis of cardiovascular diseases. This study aimed to investigate the prognostic value of a novel nutritional index, triglycerides × total cholesterol × body weight index (TCBI), in patients with dilated cardiomyopathy (DCM). METHODS: This retrospective cohort study enrolled 445 patients with DCM. The median follow-up period was 2.8 years, and the primary endpoint was all-cause death. RESULTS: During follow-up, the all-cause mortality was observed in 135 out of 445 patients (30.3%). In Kaplan-Meier survival analysis, the third TCBI tertile had a lower mortality risk (T3 vs. T2 vs. T1: 16.9% vs. 35.1% vs. 38.9%; log-rank P < 0.001). In the multivariable Cox regression analysis, patients in the third tertile were associated with a decreased mortality, whereas there was no significant difference between the T2 and T1 groups. Moreover, TCBI could significantly improve risk stratification (continuous net reclassification improvement and integrated discrimination improvement) over the Geriatric Nutritional Risk Index (GNRI) and N-terminal pro-brain natriuretic peptide (NT-proBNP). CONCLUSIONS: TCBI is independently associated with long-term survival in patients with DCM. Combination of TCBI and other biomarkers, such as GNRI and NT-proBNP, can significantly improve prognostic prediction. Further studies with larger sample size are required to validate our results.

Prognostic value of cartilage intermediate layer protein 1 in chronic heart failure.

AIMS: Emerging evidence suggests that cartilage intermediate layer protein 1 (CILP-1) is associated with myocardial remodelling. However, the prognostic value of circulating CILP-1 in patients with heart failure (HF) remains to be elucidated. This study aimed to investigate whether circulating CILP-1 can independently predict the outcome of chronic HF. METHODS AND RESULTS: This prospective cohort study included 210 patients with chronic HF and left ventricular ejection fraction <50% between September 2018 and December 2019. The primary endpoint was 1 year all-cause mortality. During the 1 year follow-up, 28 patients died. In multivariable Cox proportional hazards regression analysis, higher CILP-1 levels were independently associated with a higher risk of mortality after adjusting for potential confounding factors. In Kaplan-Meier analysis, patients with CILP-1 levels above the median had a significantly higher mortality rate than those with CILP-1 levels below the median (log-rank P = 0.015). In addition, CILP-1 significantly improved prognostic prediction over N-terminal pro-brain natriuretic peptide by an increase in net reclassification improvement (P = 0.043) and a trend towards an increase in integrated discrimination improvement (P = 0.118). CONCLUSIONS: Circulating CILP-1 is a novel independent prognostic predictor in chronic HF.

Nurses' knowledge, attitudes, and willingness to practice hospice care: An analysis of influencing factors.

BACKGROUND: Hospice care is a multidisciplinary approach that focused on patients' quality of life, and nurses allocate more of their time with patients and patients' families than those nurses working in other disciplines. Nurses' knowledge of and attitudes toward hospice care can affect the quality of hospice care. At present, China's hospice care institutions are suffering from an obvious shortage of nursing staff. Since clinical nurses are the main force behind the future provision of hospice care, their knowledge of, attitudes and willingness to practice can greatly promoted the growth of hospice care, however, available data on clinical nurses' willingness to practice hospice care are limited. METHODS: A cross-sectional descriptive study design was employed to collect data from 1833 nurses working in tertiary or secondary general hospitals in Guangxi, China. We examined nurses' demographic characteristics and scores on the Chinese version of the hospice care knowledge scale, the Chinese version of the Bradley Attitude Assessment Questionnaire, and a brief quiz concerning their willingness to practice hospice care in the future. Descriptive, single factor, multiple regression analyses and logistic regression analyses were used for data analysis. RESULTS: Nurses displayed moderate mean scores for both knowledge of and attitudes, and only 505 (27.5%) nurses expressed their willingness to practice hospice care, 1329 (72.5%) of nurses sampled expressed their unwillingness or uncertainty. Multivariate regression analyses showed that education, professional qualification, monthly income, whether they had been trained in hospice care, and willingness to practice hospice care were the main influencing factors of knowledge; education, whether they lived with someone aged >60 years, and whether they had been trained in hospice care were main factors influencing attitudes. Additionally, logistic regression analyses showed that hospice care knowledge, whether they had been trained in hospice care, and whether they had clinical experience affected the nurses' willingness to practice hospice care. CONCLUSION: This study highlighted a knowledge gap and moderate attitudes toward hospice care among nurses, and most nurses did not prefer to practice hospice care. Having been trained in hospice care was the main common factor of nurses' knowledge of, attitudes toward, and willingness to practice hospice care in the future, indicating the necessity to provide nurses with more targeted hospice care training.

How Can Nursing Teams Respond to Large-Scale COVID-19 Screening?

The COVID-19 virus has devastated lives and economies worldwide. The responses of nursing teams to large-scale COVID-19 screening have rarely been addressed or described. The aim of this study is to introduce an efficient response strategy for nurses in large-scale COVID-19 screening. A new COVID-19 case was confirmed on Jan 14, 2021 in Nanning, China. Immediately, a large-scale COVID-19 screening was launched and ran from Jan 14 to Jan 17, 2021. Our nurse team responding to the screening included three major components: (1) establishing a leadership group and a nucleic acid sampling emergency team; (2) defining, conducting, and evaluating nurse training; (3) implementing efficient sampling schemes (10 in 1 mixed sample technique). A total of 500 nurse volunteers were recruited and divided into three echelons. A total of 353 trained nurses were sent to 65 sampling stand stations. In cooperation with nurses from other health institutions, samples were collected from a total of 854,215 people in only 4 days for 2019-nCOV nucleic acid screening. The preparation and efficient response strategies used to conduct this screening may provide a baseline reference for future large-scale COVID-19 screening worldwide.