Real-Time Internet of Medical Things System for Detecting Blood Leakage during Hemodialysis Using a Novel Multiple Concentric Ring Sensor.

Venous needle dislodgement (VND) is a major healthcare safety concern in patients undergoing hemodialysis. Although VND is uncommon, it can be life-threatening. The main objective of this study was to implement a real-time multi-bed monitoring system for VND by combining a novel leakage-detection device and IoMT (Internet of Medical Things) technology. The core of the system, the Acusense IoMT platform, consisted of a novel leakage-detection patch comprised of multiple concentric rings to detect blood leakage and quantify the leaked volume. The performance of the leakage-detection system was evaluated on a prosthetic arm and clinical study. Patients with a high risk of blood leakage were recruited as candidates. The system was set up in a hospital, and the subjects were monitored for 2 months. During the pre-clinical simulation experiment, the system could detect blood leakage volumes from 0.3 to 0.9 mL. During the test of the IoMT system, the overall success rate of tests was 100%, with no lost data packets. A total of 701 dialysis sessions were analyzed, and the accuracy and sensitivity were 99.7% and 90.9%, respectively. Evaluation questionnaires showed that the use of the system after training changed attitudes and reduced worry of the nursing staff. Our results show the feasibility of using a novel detector combined with an IoMT system to automatically monitor multi-bed blood leakage. The innovative concentric-circle design could more precisely control the warning blood-leakage threshold in any direction to achieve clinical cost-effectiveness. The system reduced the load on medical staff and improved patient safety. In the future, it could also be applied to home hemodialysis for telemedicine during the era of COVID-19.

Hypothyroidism is associated with all-cause mortality in a national cohort of chronic haemodialysis patients.

AIM: The prevalence of hypothyroidism is high in haemodialysis (HD) patients and hypothyroidism increases all-cause mortality in HD patients. Comorbidities are common in HD patients and are associated with both mortality and hypothyroidism. The aim of the study is to explore the effect of the interactions of comorbidities and hypothyroidism on all-cause mortality in HD patients. METHOD: Patients with hypothyroidism (ICD-9-CM 244.0, 244.1, and 244.9) and matched patients without hypothyroidism in the Registry for Catastrophic Illness Patient Database of Taiwan Health Insurance from 2000 to 2010 were analyzed. The association of hypothyroidism and risk of all-cause mortality was analyzed using Cox proportional hazard regression. RESULT: Nine hundred and eight HD patients with hypothyroidism and 3632 sex-, age-, gender- matched HD patients without hypothyroidism were analyzed. Hypothyroidism was associated with increased all-cause mortality with an adjusted hazard ratio of 1.22 [95% confidence interval (CI): 1.10-1.36, P < 0.001]. TRT may decrease mortality associated with hypothyroidism (P < 0.001). There was a significant interaction (P = 0.04) between diabetes and hypothyroidism. There was no significant interaction found in hypothyroidism and the following comorbidities: hyperlipidaemia, hypertension, chronic obstructive pulmonary disease, coronary artery disease, stroke, peripheral arterial disease, asthma, congestive heart failure and cancer. CONCLUSION: Hypothyroidism is associated with increased all-cause mortality in chronic HD patients. The interaction of hypothyroidism and diabetes, but not other common comorbidities in HD patients, has an effect on mortality risks.

Epidemiology and outcomes of hypoglycemia in patients with advanced diabetic kidney disease on dialysis: A national cohort study.

BACKGROUND: Patients with advanced diabetic kidney disease (DKD) behave differently to diabetic patients without kidney disease. We aimed to investigate the associations of hypoglycemia and outcomes after initiation of dialysis in patients with advanced DKD on dialysis. METHODS: Using National Health Insurance Research Database, 20,845 advanced DKD patients beginning long-term dialysis between 2002 and 2006 were enrolled. We investigated the incidence of severe hypoglycemia episodes before initiation of dialysis. Patients were followed from date of first dialysis to death, end of dialysis, or 2008. Main outcomes measured were all-cause mortality, myocardial infarction (MI), and subsequent severe hypoglycemic episodes after dialysis. RESULTS: 19.18% patients had at least one hypoglycemia episode during 1-year period before initiation of dialysis. Advanced DKD patients with higher adapted Diabetes Complications Severity Index (aDCSI) scores were associated with more frequent hypoglycemia (P for trend < 0.001). Mortality and subsequent severe hypoglycemia after dialysis both increased with number of hypoglycemic episodes. Compared to those who had no hypoglycemic episodes, those who had one had a 15% higher risk of death and a 2.3-fold higher risk of subsequent severe hypoglycemia. Those with two or more episodes had a 19% higher risk of death and a 3.9-fold higher risk of subsequent severe hypoglycemia. However, previous severe hypoglycemia was not correlated with risk of MI after dialysis. CONCLUSIONS: The rate of severe hypoglycemia was high in advanced DKD patients. Patients with higher aDCSI scores tended to have more hypoglycemic episodes. Hypoglycemic episodes were associated with subsequent hypoglycemia and mortality after initiation of dialysis. We studied the associations and further study is needed to establish cause. In addition, more attention is needed for hypoglycemia prevention in advanced DKD patients, especially for those at risk patients.