scholarly journals Very Severe Hypertriglyceridemia in a Large US County Health Care System: Associated Conditions and Management

2019 ◽  
Vol 3 (8) ◽  
pp. 1595-1607 ◽  
Author(s):  
Maria Isabel Esparza ◽  
Xilong Li ◽  
Beverley Adams-Huet ◽  
Chandna Vasandani ◽  
Amy Vora ◽  
...  

Abstract Context Patients with very severe hypertriglyceridemia (triglyceride levels ≥2000 mg/dL; 22.6 mmol/L) require aggressive treatment. However, little research exists on the underlying etiologies and management of very severe hypertriglyceridemia. Objective We hypothesized (i) very severe hypertriglyceridemia in adults is mostly associated with secondary causes and (ii) most patients with very severe hypertriglyceridemia lack appropriate follow-up and treatment. Design We queried electronic medical records at Parkland Health and Hospital Systems for lipid measurements in the year 2016 and identified patients with serum triglyceride levels ≥2000 mg/dL (22.6 mmol/L). We extracted data on demographics, underlying causes, lipid-lowering therapy, and follow-up. Results One hundred sixty-four serum triglyceride measurements were ≥2000 mg/dL (22.6 mmol/L) in 103 unique patients. Of these, 60 patients were admitted to the hospital (39 for acute pancreatitis). Most were Hispanic (79%). The major conditions associated with very severe hypertriglyceridemia included uncontrolled diabetes mellitus (74%), heavy alcohol use (10%), medication use (7%), and hypothyroidism (2%). Two patients were known to have monogenic causes of hypertriglyceridemia. After the index measurement of triglycerides ≥2000 mg/dL (22.6 mmol/L), the use of triglyceride-lowering drugs increased, most prominently the use of fish oil supplements, which increased by 80%. However, in follow-up visits, hypertriglyceridemia was addressed in only 50% of encounters, and serum triglycerides were remeasured in only 18%. Conclusion In summary, very severe hypertriglyceridemia was quite prevalent (∼0.1% of all lipid measurements) in our large county health care system, especially in Hispanic men. Most cases were related to uncontrolled diabetes mellitus, and follow-up monitoring was inadequate.

2008 ◽  
Vol 11 (3) ◽  
pp. A186
Author(s):  
LM Rubin ◽  
M Bounthavong ◽  
MLD Christopher ◽  
AP Morreale ◽  
BK Plowman ◽  
...  

2017 ◽  
Vol 4 (3) ◽  
pp. 151-152
Author(s):  
Caitlin Murphy ◽  
Amit Singal ◽  
Joanne Sanders ◽  
Sandi Pruitt ◽  
Simon Craddock Lee ◽  
...  

2019 ◽  
Vol 124 (8) ◽  
pp. 1165-1170 ◽  
Author(s):  
Hasan Rehman ◽  
Sarah T. Ahmed ◽  
Julia Akeroyd ◽  
Dhruv Mahtta ◽  
Xiaoming Jia ◽  
...  

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Olivia Ernstsson ◽  
Mathieu F. Janssen ◽  
Emelie Heintz

Abstract Background The Swedish National Quality Registries (NQRs) contain individual-level health care data for specific patient populations, or patients receiving specific interventions. Approximately 90% of the 105 Swedish NQRs include any patient-reported outcome measure, with EQ-5D being the most common. As there has been no general overview of EQ-5D data within the NQRs, this study fills a knowledge gap by reporting how the data are collected, presented, and used at different levels of the Swedish health care system. Methods All 46 NQRs with a license for the use of EQ-5D were included. Information was retrieved from the registries’ annual reports or from websites, using a template that was subsequently sent to each registry for completion and confirmation. If considered necessary, the contact was followed-up with an interview, either in-person or over the telephone. The uses of EQ-5D were categorised as denoting usage for follow-up, decision-making, or quality improvement in Swedish health care. Results In total, 41 of the 46 licensed registries reported collection of EQ-5D data. EQ-5D is most commonly collected within registries related to the musculoskeletal system, but it has a wide application also in other disease areas. Thirty-six registries provide EQ-5D results to patients, clinicians, or other decision-makers. Twenty-two of the registries reported that EQ-5D data are being used for follow-up, decision-making or quality improvement. The registries most commonly reported use of data for assessing interventions, and in quality indicators to follow-up the quality of care at a national level. Conclusion Collection and use of EQ-5D data vary across the Swedish NQRs, which may partly be accounted for by the different purposes of the registries. The provided examples of use illustrate how EQ-5D data can inform decisions at different levels of the health care system. However, there is potential for improving the use of EQ-5D data.


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