Hypernatremia subgroups among hospitalized patients by machine learning consensus clustering with different patient survival.

BACKGROUND: The objective of this study was to characterize hypernatremia patients at hospital admission into clusters using an unsupervised machine learning approach and to evaluate the mortality risk among these distinct clusters. METHODS: We performed consensus cluster analysis based on demographic information, principal diagnoses, comorbidities, and laboratory data among 922 hospitalized adult patients with admission serum sodium of > 145 mEq/L. We calculated the standardized difference of each variable to identify each cluster's key features. We assessed the association of each hypernatremia cluster with hospital and 1-year mortality. RESULTS: There were three distinct clusters of patients with hypernatremia on admission: 318 (34%) patients in cluster 1, 339 (37%) patients in cluster 2, and 265 (29%) patients in cluster 3. Cluster 1 consisted of more critically ill patients with more severe hypernatremia and hypokalemic hyperchloremic metabolic acidosis. Cluster 2 consisted of older patients with more comorbidity burden, body mass index, and metabolic alkalosis. Cluster 3 consisted of younger patients with less comorbidity burden, higher baseline eGFR, hemoglobin, and serum albumin. Compared to cluster 3, odds ratios for hospital mortality were 15.74 (95% CI 3.75-66.18) for cluster 1, and 6.51 (95% CI 1.48-28.59) for cluster 2, whereas hazard ratios for 1-year mortality were 6.25 (95% CI 3.69-11.46) for cluster 1 and 4.66 (95% CI 2.73-8.59) for cluster 2. CONCLUSION: Our cluster analysis identified three clinically distinct phenotypes with differing mortality risk in patients hospitalized with hypernatremia.

Implementation and challenges unique to teleretinal diabetic retinal screening (TDRS) in a private practice setting in the United States.

PURPOSE: Adherence rates to published guidelines for diabetic retinopathy (DR) screening is between 35 and 60%. We evaluate a teleretinal DR screening (TDRS) program in a private practice vertically integrated system to increase compliance with retinal screening. METHODS: A retrospective pre-post intervention longitudinal study was conducted in a private endocrinology practice using TDRS as the primary intervention. Compliance rates for diabetic retinal screening were compared between December 31, 2016 and December 31, 2018. RESULTS: A total population of 3479 patients were evaluated. Retinal screening compliance improved from 56.5% of patients (1964) pre-intervention to 59.3% of patients (2064) post intervention. The McNemar test was used for statistical analysis and found the change significant (p = 0.004). CONCLUSIONS: TDRS as an adjunct tool in a private practice endocrinology office significantly improved screening rates and can increase access to recommended diabetic eye care. However, the improvement in screening rates was smaller than other types of practice settings. We explore some of the unique challenges to implementation of TDRS in private practice settings.