Conectar
by Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu
ObjectiveTo determine the association between blood pressure variability (BPV), coagulation indexes, and germinal matrix-intraventricular hemorrhage (GMH-IVH) in preterm infants with gestational age ≤ 32 weeks. In addition, we aimed to determine whether the combination can predict the occurrence and outcome of GMH-IVH.
MethodsThis retrospective study included 106 preterm infants. According to the presence of GMH-IVH, the preterm infants were divided into GMH-IVH (51 patients) and no GMH-IVH (55 patients) groups. Furthermore, according to the short-term prognoses, the GMH-IVH group was subdivided into good outcome (30 patients) and poor outcome (21 patients) groups. Coagulation function and BPV indexes were collected at admission. Univariate analysis, logistic regression model, and receiver operating characteristic curve were used to analyze the relationship between indexes and the occurrence and outcome of GMH-IVH in preterm infants.
ResultsUnivariate analysis showed that the difference between maximum and minimum (Max-Min); standard deviation (SD); coefficient of variation (CV) of BPV, prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and proportion of premature rupture of membranes (PROM) were higher in the GMH-IVH group than the no GMH-IVH group (P ). Logistic regression analysis showed that INR and DBP SD were directly correlated with GMH-IVH, and the joint curve had the largest area under the curve (AUC) (82.4% sensitivity and 79.7% specificity). BPV SD, BPV CV, APTT, and INR were higher in the poor outcome group than in the good outcome group (P ). Logistic regression analysis showed that INR and DBP SD were directly correlated with poor outcomes in preterm infants with GMH-IVH. The joint curve had the largest AUC (sensitivity 76.2% and specificity 90.0%).
ConclusionIncreased INR and DBP SD are directly associated factors for the developement and poor short-term outcome of GMH-IVH, and combined monitoring of INR and DBP SD has certain reference value for the early identification and prognosis evaluation of GMH-IVH in preterm infants with gestational age ≤ 32 weeks.
This study aimed to develop and validate a risk prediction model for cognitive frailty in elderly patients with Type 2 diabetes mellitus (T2DM).
A cross-sectional design.
From February to November 2023, a convenience sample of 430 older adults with T2DM was enrolled at a tertiary hospital in Jinzhou. The study analysed 22 indicators, including sociodemographic characteristics, behavioural factors, information related to T2DM, nutritional status, instrumental activities of daily living (IADL) and depression. Independent risk factors related to cognitive frailty were identified using LASSO and multivariate logistic regression analysis. A prediction model was created using a nomogram. The calibration curve, decision curve analysis (DCA) and receiver operating characteristic (ROC) curve were used to evaluate model performance. This study was reported using the STARD checklist (Data S1).
The study found that cognitive frailty was prevalent in 30.7% of elderly patients with T2DM. Age, physical activity, glycosylated haemoglobin (HBA1c), duration of diabetes, nutritional status, IADL and depression were predictors of cognitive frailty. The ROC curve shows that the nomogram has good discriminative power. The calibration plots demonstrated a good fit between the observed and ideal curves. Additionally, DCA highlighted the clinical application of the nomogram.
This study provided an effective and convenient approach to evaluating the risk of cognitive frailty among elderly T2DM patients, which can help in the clinical screening of high-risk individuals.
Nurses should emphasise the care of comorbid cognitive frailty in elderly patients with T2DM. The intuitive and noninvasive nomogram can help clinical nurses assess the risk probability of cognitive frailty in this population. Tailored prevention strategies for high-risk populations can be rapidly developed with this tool, significantly improving patients' quality of life.
Some patients were involved in data interpretation. No public contribution.
To examine the level and influencing factors of discharge readiness among patients with oesophageal cancer following oesophagectomy and to explore its association with post-discharge outcomes (post-discharge coping difficulty and unplanned readmission).
Oesophageal cancer is common and usually treated via oesophagectomy in China. The assessment of patient's discharge readiness gradually attracts attention as patients tend to be discharged more quickly.
Prospective observational study. The STROBE statement was followed.
In total, 154 participants with oesophageal cancer after oesophagectomy were recruited in a tertiary cancer centre in Southern China from July 2019 to January 2020. The participants completed a demographic and disease-related questionnaire, the Quality of Discharge Teaching Scale and Readiness for Hospital Discharge Scale before discharge. Post-discharge outcomes were investigated on the 21st day (post-discharge coping difficulty) and 30th day (unplanned readmission) after discharge separately. Multiple linear regressions were used for statistical analysis.
The mean scores of discharge readiness and quality of discharge teaching were (154.02 ± 31.58) and (138.20 ± 24.20) respectively. The quality of discharge teaching, self-care ability, dysphagia and primary caregiver mainly influenced patient's discharge readiness and explained 63.0% of the variance. The low discharge readiness could predict more risk of post-discharge coping difficulty (r = −0.729, p < 0.01) and unplanned readmission (t = −2.721, p < 0.01).
Discharge readiness among patients with oesophageal cancer following oesophagectomy is influenced by various factors, especially the quality of discharge teaching. A high discharge readiness corresponds to good post-discharge outcomes.
Healthcare professionals should improve the discharge readiness by constructing high-quality discharge teaching, cultivating patients' self-care ability, mobilizing family participation and alleviating dysphagia to decrease adverse post-discharge outcomes among patients with oesophageal cancer.
Patients with oesophageal cancer after oesophagectomy who met the inclusion criteria were recruited.
To construct key quality indicators for aged care facilities in China.
Evaluating the care quality in aged care facilities is problematic. Evaluation of nursing care quality is important for improving nursing and self-supervision in aged care facilities. However, a few regulations and studies regarding care quality evaluation have been implemented in China.
This two-tier Delphi study aimed to achieve consensus on key quality indicators for aged care facilities in China. The entry pool was determined by literature review and research team discussion, followed by a discussion by a panel of experts to establish the items of the Delphi study. Finally, key care quality indicators were established through a two-round Delphi study. This study followed the SQUIRE 2.0 guidelines.
The initial 16 quality indicators of the entry pool was developed based on a literature review and a group discussion. Sixteen quality indicators were reduced to eight after the expert discussion. After two rounds of expert consultation, the eight quality indicators became nine, which were then evaluated for importance, formula rationality, and operability using Kendall's harmony coefficients (first round: 0.150, 0.143 and 0.169, respectively; second round: 0.209, 0.159 and 0.173, respectively).
Key quality indicators provide quantifiable evidence for evaluating the care quality in aged care facilities, but their applicability needs continuous improvement.
Nine key quality indicators were selected from numerous indicators for measuring the care quality in aged care facilities, supporting the evaluation of the care quality and self-supervision for aged care facilities.
No elderly or public contribution.
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