Identifying high-risk hospitalised chronic kidney disease patient using electronic health records for serious illness conversation

INTRODUCTION@#This study aimed to identify risk factors that are associated with increased mortality that could prompt a serious illness conversation (SIC) among patients with chronic kidney disease (CKD).@*METHODS@#The electronic health records of adult CKD patients admitted between August 2018 and February 2020 were retrospectively reviewed to identify CKD patients with >1 hospitalisation and length of hospital stay ≥4 days. Outcome measures were mortality and the duration of hospitalisation. We also assessed the utility of the Cohen's model to predict 6-month mortality among CKD patients.@*RESULTS@#A total of 442 patients (mean age 68.6 years) with median follow-up of 15.3 months were identified. The mean (standard deviation) Charlson Comorbidity Index [CCI] was 6.8±2.0 with 48.4% on chronic dialysis. The overall mortality rate until August 2020 was 36.7%. Mortality was associated with age (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.29-1.77), CCI≥7 (1.58, 1.08-2.30), lower serum albumin (1.09, 1.06-1.11), readmission within 30-day (1.96, 1.43-2.68) and CKD non-dialysis (1.52, 1.04-2.17). Subgroup analysis of the patients within first 6-month from index admission revealed longer hospitalisation stay for those who died (CKD-non dialysis: 5.5; CKD-dialysis: 8.0 versus 4 days for those survived, P<0.001). The Cohen's model demonstrated reasonable predictive ability to discriminate 6-month mortality (area under the curve 0.81, 95% CI 0.75-0.87). Only 24 (5.4%) CKD patients completed advanced care planning.@*CONCLUSION@#CCI, serum albumin and recent hospital readmission could identify CKD patients at higher risk of mortality who could benefit from a serious illness conversation.

Evaluation of adherence and depression among patients on peritoneal dialysis

<p><b>INTRODUCTION</b>It is challenging for dialysis patients to maintain adherence to their medical regimen, and symptoms of depression are prevalent among them. Limited data is available about adherence and depression among patients receiving peritoneal dialysis (PD). This study aimed to examine the rates of treatment non-adherence and depression in PD patients.</p><p><b>METHODS</b>A total of 20 PD patients (response rate 71.4%; mean age 64.4 ± 11.6 years) were assessed using the Beliefs about Medicines Questionnaire, Self Efficacy for Managing Chronic Disease Scale, Hospital Anxiety and Depression Scale (HAD) and Kidney Disease Quality of Life-Short Form. A self-reported adherence (PD exchanges, medication and diet) scale developed for the study was also included. Medical information (e.g. most recent biochemistry results) was obtained from chart review.</p><p><b>RESULTS</b>The mean self-reported scores indicated an overall high level of adherence, although a significant proportion of patients were non-adherent. Among the latter, 20% of patients were non-adherent to medication and 26% to diet due to forgetfulness, while 15% and 26% of patients admitted to deliberate non-adherence to medication and diet, respectively. Treatment modality, employment, self-care status and self-efficacy were associated with overall adherence. Using a cutoff point of 8 for HAD depression and anxiety subscales, 40% of patients were found to be depressed and 30% had symptoms of anxiety.</p><p><b>CONCLUSION</b>This is the first study to document treatment adherence and depression among PD patients in Singapore. Findings of high prevalence of depression and anxiety, and reports of poor adherence warrant development of intervention programmes.</p>