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BACKGROUND: Delirium is frequently disproportionately under-recognized despite its high prevalence, detrimental impact, and potential lethality. Informant-based delirium detection tools can offer structured assessment and increase the timeliness and frequency of detection. We aimed to examine the diagnostic accuracy of the Family Confusion Assessment Method (FAM-CAM) for delirium detection. METHODS: We systematically searched the MEDLINE, EMBASE, PsycINFO, CINAHL, CNKI, WANFANG, and SinoMed databases from January 1988 to December 2022. Two reviewers independently screened studies and evaluated methodological quality using the revised quality assessment of diagnostic accuracy studies (QUADAS-2) tool. A bivariate random effects model was undertaken, and univariable meta-regression was carried out to explore heterogeneity. RESULTS: Seven studies with 483 dyads of participants and family caregivers were identified. Pooled sensitivity and specificity were 0.74 (95% CI: 0.59, 0.86) and 0.91 (95% CI: 0.83, 0.95), respectively, with an area under curve (AUC) of 0.91. The positive likelihood ratio was 8.27 (95% CI: 3.97, 17.25), and the negative likelihood ratio was 0.28 (95% CI: 0.16, 0.50). Settings impacted specificity (p = 0.02). CONCLUSIONS: Available evidence indicates that FAM-CAM exhibits moderate sensitivity and high specificity for delirium screening in adults. The FAM-CAM is concise and easy to use, making it appropriate for routine clinical practice, which might benefit early delirium detection and potentially foster delirium management. PROSPERO REGISTRATION NUMBER: CRD42022378742.
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Delirium , Humans , Delirium/diagnosis , Sensitivity and Specificity , Caregivers , PrevalenceABSTRACT
Objective: To investigate the incidence and influencing factors of postoperative delirium (POD) and subsyndromal delirium (SSD) in patients connected to cardiopulmonary bypass during cardiovascular surgeries. Methods: We collected the general data and the data for the perioperative hematological, physiological, and biochemical indicators and the surgical and therapeutic conditions of patients connected to cardiopulmonary bypass during the course of cardiovascular surgeries conducted at a tertiary-care hospital in Hubei province between May 2022 and September 2022. The outcome indicators, including the incidence of POD and SSD, were assessed with the Nursing Delirium Screening Scale (Nu-DESC). Multinomial logistic regression was performed to analyze the influencing factors of patients with different statuses of POD and SSD. Results: Among the 202 patients, the incidence of SSD, SSD progressing to POD, and no POD or SSD (ND) progressing to POD were 13.4%, 6.4%, and 34.2%, respectively. Regression analysis showed that, with ND patients as the controls, the influencing factors for SSD were preoperative blood glucose (odds ratio [ OR]=0.38, 95% confidence interval [ CI]: 0.19-0.76), intraoperative platelet transfusion ( OR=0.37, 95% CI: 0.15-0.92), intraoperative etomidate ( OR=0.93, 95% CI: 0.87-0.98), and postoperative total bilirubin level ( OR=1.04, 95% CI: 1.01-1.07). For the progression of SSD to POD, the influencing factors were age ( OR=1.09, 95% CI: 1.01-1.17), ASA classification of IV and above ( OR=10.72, 95% CI: 1.85-62.08), intraoperative dexmedetomidine ( OR=1.01, 95% CI: 1.003-1.02), and the duration of mechanical ventilation ( OR=1.04, 95% CI: 1.01-1.07). For the progression of ND to POD, the influencing factors were age ( OR=1.06, 95% CI: 1.02-1.10), middle or high school education ( OR=0.35, 95% CI: 0.15-0.83), and the duration of mechanical ventilation ( OR=1.04, 95% CI: 1.01-1.07). Conclusion: Age, education, ASA classification, preoperative blood glucose, intraoperative platelet transfusion, intraoperative etomidate, intraoperative dexmedetomidine, postoperative total bilirubin, and the duration of mechanical ventilation are influencing factors for different statuses of POD and SSD among patients connected to cardiopulmonary bypass when they are undergoing cardiovascular surgeries. The influencing factors vary across groups of patients with different statuses of POD and SSD. Therefore, we should accurately assess the risk factors of patients with different statuses of POD and SSD and carry out corresponding interventions, thereby preventing or reducing the occurrence of POD and SSD, and ultimately promoting enhanced recovery after surgery.
Subject(s)
Delirium , Dexmedetomidine , Emergence Delirium , Etomidate , Humans , Emergence Delirium/etiology , Emergence Delirium/complications , Delirium/epidemiology , Delirium/etiology , Cardiopulmonary Bypass/adverse effects , Incidence , Blood Glucose , Postoperative Complications/diagnosis , Prospective Studies , Risk FactorsABSTRACT
AIMS AND OBJECTIVES: To examine knowledge, attitude, and practice regarding postoperative delirium and the relationships among cardiac surgery nurses in China. BACKGROUND: Postoperative delirium is a prevalent and devastating complication following cardiac surgery. Nurses play a part in multi-disciplinary collaboration for preventing and managing postoperative delirium, of whom knowledge, attitude, and practice are essential. DESIGN: A cross-sectional multi-centre study. METHODS: Nurses from cardiac surgery wards and intensive care units of five tertiary hospitals in Wuhan, Hubei Province, China were enrolled. Data were gathered online using a self-administered questionnaire. Student's t-test, or analysis of variance, or non-parametric tests were performed to compare differences across groups. Bootstrapping mediation analysis was conducted to examine the relationship between knowledge, attitude, and practice. The STROBE checklist was used for the reporting of this study. RESULTS: Of 429 nurses, a moderate level of knowledge and high levels of attitude and practice regarding postoperative delirium were revealed. Nurses with higher education, higher academic title, 5-10 years of practice in nursing and cardiac surgery nursing exhibited increased knowledge. With advanced age, practice in a specialised hospital, and training experience, nurses reported a better degree of practice. Attitude played a full mediating effect in the relationship between knowledge and practice, accounting for 81.82% of the total effects. CONCLUSIONS: Knowledge, attitude, and practice regarding postoperative delirium are promising among Chinese cardiac surgery nurses, with knowledge of screening tools and perioperative nonpharmacological interventions and practice of screening in need of enhancement. Attitudes act as an intermediary between knowledge and practice regarding postoperative delirium. RELEVANCE TO CLINICAL PRACTICE: Innovative and stratified in-service education is warranted to address knowledge enhancement. Meanwhile, organisations are suggested to make efforts to foster nurses' positive attitudes, particularly in creating a favourable culture and developing institutional protocols for postoperative delirium management to improve practice. NO PATIENT OR PUBLIC CONTRIBUTION: This study is focused on cardiac surgery nurses' knowledge, attitude, and practice regarding postoperative delirium, and the research questions and design are from clinical nursing practice, literature review, and expert panel review, in which the patient or public is temporarily not involved.
Subject(s)
Cardiac Surgical Procedures , Emergence Delirium , Nurses , Nursing Staff, Hospital , Humans , Cross-Sectional Studies , Health Knowledge, Attitudes, Practice , Clinical Competence , Cardiac Surgical Procedures/adverse effects , Surveys and Questionnaires , Attitude of Health PersonnelABSTRACT
Background: Complex surgical plans and consideration of risks and benefits often cause decisional conflicts for decision-makers in aortic dissection (AD) surgery, resulting in decision delay. Shared decision-making (SDM) improves decision readiness and reduces decisional conflicts. The purpose of this study was to investigate the impact of SDM on decision quality in AD. Methods: One hundred and sixty AD decision-makers were divided into two groups: control (n = 80) and intervention (n = 80). The surgical plan for the intervention group was determined using patient decision aids. The primary outcome was decisional conflict. Secondary outcomes included decision preparation, decision satisfaction, surgical method, postoperative complications, actual participation role, and duration of consultation. The data were analyzed with SPSS 26.0 (IBM Corp., Chicago, IL, USA). p < 0.05 was considered statistically significant. Results: The decisional conflict score was significantly lower in the intervention group than in the control group (p < 0.001). The decision preparation and decision satisfaction scores in the intervention group were significantly higher than those in the control group (p < 0.001). There were more SDM decision-makers in the intervention group (16 [20%] vs. 42 [52.50%]). There was no statistical significance in the choice of surgical, postoperative complications, duration of consultation, and hospital and post-operative intensive care unit stay time (p = 0.267, p = 0.130, p = 0.070, p = 0.397, p = 0.421, respectively). Income, education level, and residence were the influencing factors of decision-making conflict. Conclusions: SDM can reduce decisional conflict, improve decision preparation and satisfaction, and help decision-makers actively participate in the medical management of patients with AD without affecting the medical outcome.
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Objective: Postoperative delirium (POD) is a common postoperative complication after cardiovascular surgery with adverse outcomes. No prediction tools are currently available for assessing POD in the type B aortic dissection (TBAD) population. The purposes of this study were to develop and validate a nomogram for predicting POD among TBAD patients who underwent thoracic endovascular aortic repair (TEVAR). Methods: The retrospective cohort included 631 eligible TBAD patients who underwent TEVAR from January 2019 to July 2021. 434 patients included before 2021 were in the develop set; 197 others were in the independent validation set. Least absolute shrinkage and selection operator (LASSO) and logistic regression were applied to identify the most useful predictive variables for constructing the nomogram. Discrimination and the agreement of the model was assessed with the area under the receiver operating characteristic curve (AUC), Brier score and the Hosmer-Lemeshow goodness-of-fit test. The results were validated using a bootstrap resampling and the validation set. Results: The incidence rate of POD observed in the development and validation cohort were 15.0% and 14.2%, respectively. Seven independent risk factors, including age ≥60 years, syncope or coma, postoperative blood transfusion, atelectasis, estimated glomerular filtration rate (eGFR) <80â ml/min/1.73â m2, albumin <30â g/L, and neutrophil to lymphocyte ratio, were included in the nomogram. The model showed a good discrimination with an AUC of 0.819 (95% CI, 0.762-0.876) in the developed set, and adjusted to 0.797 (95% CI, 0.735-0.849) and 0.791 (95% CI, 0.700-0.881) in the internal validation set and the external validation, respectively. Favorable calibration of the nomogram was confirmed in both the development and validation cohorts. Conclusion: The nomogram based on seven readily available predictors has sufficient validity to identify POD risk in this population. This tool may facilitate targeted initiation of POD preventive intervention for healthcare providers.
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BACKGROUND: The choice of treatment is an unavoidable challenge faced in the day to day medical decision making pertaining to patients with organic heart disease. As a professional discipline, cardiac surgery focuses on creating and using the most advanced evidence-based patient decision aids (PtDAs) to achieve high-quality decision-making. OBJECTIVES: To describe the basic situation, influencing factors, and the outcome of indicators of PtDAs among cardiac surgery patients. METHODS: Seven electronic databases were systematically searched for relevant reviews on the application of PtDAs among cardiac surgery patients. The methodological framework proposed by Arskey and O'Malley was used to guide the scoping review. The extracted data was analyzed qualitatively and quantitatively. RESULTS: After dual, blinded screening of titles and abstracts, 12 articles were included in the review. 10 were quantitative studies, 1 was a mixed study, 1 was a qualitative study. CONCLUSIONS: Compared with the burden of heart disease and the huge evidence base, the application of PtDAs in cardiac surgery is obviously insufficient. The published literature mainly provide information about the factors to be solved from the perspective of researchers, and also summarize obstacle factors. This is the basis for the application and construction of PtDAs in cardiac surgery patients.
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Cardiac Surgical Procedures , Heart Diseases , Humans , Decision Support Techniques , Patient Selection , Qualitative ResearchABSTRACT
BACKGROUND: The Patient-Reported Outcomes Measurement Information System 29-item Profile (PROMIS-29) has been widely used to measure health outcomes from the patient's perspective. It has not been validated in adults with aortic disease. The aim of this study was to explore the reliability and validity of the Chinese PROMIS-29 among patients undergoing surgery for aortic dissection (AD). METHODS: A cross-sectional design was applied. Eligible patients completed a questionnaire that contained the PROMIS-29 and legacy measures, including the Short Form-12 Health Survey (SF-12), 8-item Somatic Symptom Scale (SSS-8), Generalized Anxiety Disorder-2 (GAD-2), and Patient Health Questionnaire-2 (PHQ-2). The structural validity of the PROMIS-29 was evaluated using confirmatory factor analysis (CFA). Reliability was evaluated with Cronbach's α. Construct validity was assessed by calculating Spearman's rank correlations and comparing known-group differences. RESULTS: In total, a sample of 327 AD patients was included in the final analysis. Most of them were male (89%) with a mean age of 52.7 (± 10.3). CFA revealed good model fit of the seven-factor structure within PROMIS-29, as well as most domains in single-factor analysis. Reliability was confirmed with Cronbach's α > 0.90. Correlations between comparable domains of the PROMIS-29 and those of legacy questionnaires and most know-group comparisons were observed as hypothesized. CONCLUSIONS: This study found evidence for acceptable structural validity, construct validity and internal consistency of the PROMIS-29 in a sample of AD patients. It can be applied to AD survivors by researchers or clinicians, measuring outcomes after surgery and identifying those with worse health status.
Subject(s)
Aortic Dissection , Quality of Life , Adult , Aortic Dissection/surgery , China , Cross-Sectional Studies , Female , Humans , Information Systems , Male , Middle Aged , Patient Reported Outcome Measures , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
OBJECTIVE: To construct the prediction model of death risk of Stanford type A aortic dissection (AAD) based on Cox proportional risk regression model. METHODS: AAD patients who were diagnosed and received surgical treatment admitted to the department of cardiothoracic surgery of Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology from January 1st, 2019 to April 30th, 2020 were enrolled. The general situation, clinical manifestations, pre-hospital data, laboratory examination and imaging examination results of the patients were collected. The observation period was up to the death of the patients or ended on April 30th, 2021. They were divided into the model group and the verification group according to the ratio of 7:3. Lasso method was used to screen prognostic variables from the data of the modeling group, and multivariate Cox regression analysis was included to construct the AAD death risk prediction model, which was displayed by nomogram. The receiver operator characteristic curve (ROC curve) was used to evaluate the discrimination of the model, the calibration curve to evaluate the accuracy of the model, and the clinical decision curve (DCA) to evaluate the effectiveness of the model. RESULTS: A total of 454 patients with AAD were finally included, and the mortality was 19.4% (88/454). Lasso regression analysis was used to screen out 10 variables from the data of 317 patients in the model group, and the prediction model of death risk was constructed: 0.511×abdominal pain+1.061×syncope+0.428×lower limb pain/numbness-0.365×emergency admission-1.933×direct admission-1.493×diagnosis before referral+0.662×preoperative systolic blood pressure (SBP) < 100 mmHg (1 mmHg = 0.133 kPa)+0.632×hypersensitivity cardiac troponin I (hs-cTnI) > 34.2 ng/L+1.402×De Bakey type+0.641× pulmonary infection+1.472×postoperative delirium. The area under the ROC curve (AUC) and 95% confidence interval (95%CI) of the AAD death risk prediction model were 0.873 (0.817-0.928), and that of the verification group was 0.828 (0.740-0.916). DCA showed that the net benefit value of the model was higher. The calibration curve showed that there was a good correlation between the actual observation results and the model prediction results. CONCLUSIONS: The AAD death risk prediction model based on abdominal pain, syncope, lower limb pain/numbness, mode of admission, diagnosis before referral, preoperative SBP < 100 mmHg, hs-cTnI > 34.2 ng/L, De Bakey type , pulmonary infection, and postoperative delirium can effectively help clinicians identify patients at high risk for AAD, evaluate their postoperative survival and timely adjust treatment strategies.
Subject(s)
Aortic Dissection , Hospitalization , Humans , Nomograms , Prognosis , Retrospective StudiesABSTRACT
OBJECTIVE: Elevated plasma homocysteine (Hcy) is an independent risk factor for cardiovascular diseases, but the precise mechanism of Hcy in cardiovascular disease remains elusive. This study is aimed at evaluating the association between Hcy levels and autonomic nervous system and at investigating their clinical relevance in obstructive sleep apnea syndrome (OSAS). METHODS: A total of 191 subjects with OSAS were enrolled for this cross-sectional study. Heart rate variability (HRV) represents the status of the autonomic nervous system and is a well-known index that allows studying the autonomic modulation. HRV and polysomnography parameters were collected based on Holter monitors and polysomnography system. The software computed all the basic HRV parameters including SDANN, SDNN and pNN50. Correlation analyses between Hcy and HRV parameters and echocardiographic parameters were performed. RESULTS: Compared with the mild-moderate OSAS group, the prevalence of male and smoking and Hcy levels were considerably higher in the severe OSAS group (P = 0.01, P = 0.02, and P = 0.01, respectively). Also, there were significant linear relationships between Hcy quartiles with the proportion of severe OSAS (P = 0.01 for the trend). Interesting, there is a negative linear correlation between SDANN and Hcy quartiles (P = 0.02 for the trend). Spearman's correlation analysis showed a significant negative correlation between SDANN and Hcy levels (r = -0.17, P = 0.02). Interestingly, the relationship of it remains significant after adjustment for clinical covariates (r = -0.15, P = 0.04). However, echocardiographic parameters were not significantly correlated with Hcy or HRV parameters (all P > 0.05). CONCLUSIONS: Elevated plasma Hcy level is linearly correlated with cardiac autonomic nervous function disorders in patients with OSAS.
Subject(s)
Autonomic Nervous System/physiopathology , Homocysteine/blood , Sleep Apnea, Obstructive/physiopathology , Adult , Aged , Biomarkers/blood , Cross-Sectional Studies , Electrocardiography , Female , Heart Rate , Humans , Male , Middle Aged , Sleep Apnea, Obstructive/bloodABSTRACT
OBJECTIVE: Cardiac autonomic neuropathy (CAN) is a common and serious complication of diabetes mellitus with various systemic involvements, such as atherosclerotic cardiovascular disease. We aimed to evaluate the association between CAN and coronary artery lesions in patients with type 2 diabetes. Research Design and Methods. We retrospectively reviewed the medical records of 104 patients with type 2 diabetes and coronary artery disease (CAD). We evaluated heart rate variability (HRV) parameters (SDANN, SDNN, and pNN50) to assess cardiac autonomic function. The severity of coronary lesions was assessed by the Gensini scores and the number of affected vessels. Correlation analyses between HRV parameters and the severity of coronary lesions and clinical parameters were performed. RESULTS: Spearman's correlation analysis showed a significant negative correlation between SDANN and Gensini scores (r = -0.22, P = 0.03). Interestingly, this finding remained significant after adjusting for clinical covariates (r = -0.23, P = 0.03). However, there was no association between HRV parameters and the severity of coronary lesions as assessed by the number of affected vessels. Clinical parameters were not significantly correlated with HRV parameters (all P > 0.05). CONCLUSIONS: Cardiac autonomic neuropathy might be related to the degree of coronary atheromatous burden in patients with type 2 diabetes. Screening for cardiac autonomic neuropathy might potentially be beneficial in the risk stratification of patients with type 2 diabetes.
Subject(s)
Coronary Artery Disease/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Diabetic Cardiomyopathies/epidemiology , Aged , Coronary Artery Disease/pathology , Coronary Vessels/diagnostic imaging , Coronary Vessels/pathology , Female , Heart Rate , Humans , Male , Middle AgedABSTRACT
PURPOSE: To investigate the treatments of patients with cancer in their last 6 months of life in intensive care unit (ICU) and Cancer Center. METHOD: A prospective study was conducted on patients with cancer who died between January 2010 and July 2013 in the ICU and the Cancer Center (55 and 161 cases, respectively) of Tongji Hospital, Wuhan, China. The differences were compared by Chi-square test or Fisher test. RESULTS: The differences in the treatments of patients with cancer between 2 groups were statistically significant. The proportion of patients with cancer who accepted blood transfusion (except albumin) was significantly higher in the ICU than in the Cancer Center. CONCLUSION: Patients with cancer in the ICU were more likely to receive active treatments and less palliative and hospice care at the end of life than patients in the Cancer Center.