Background: Contemporary analyses of the distribution of heart failure (HF) patients by groups of ejection fraction are not available or are limited to hospitalized patients. Our objective was to quantify the per-person and system level clinical burden of a broad population of HF patients.
Methods: We studied 16,516 patients with a new HF diagnosis recorded in the electronic medical record of a U.
Key Points: Onset of any new cardio-renal-metabolic condition drove substantial increase in health care costs. Overall costs increased by $10,316 (130%) when CKD developed, $6789 (84%) for type 2 diabetes, $21,573 (304%) for atherosclerotic cardiovascular disease, and $36,522 (475%) for heart failure. However, as a result of prediagnosis costs being higher as more conditions were present, the percentage increases in costs associated with incidence were lower when more prevalent conditions existed.
View Article and Find Full Text PDFThe economic burden of heart failure (HF) is enormous, but studies of HF costs typically consider the disease to be a single entity. We sought to distinguish the medical costs for patients with HF with reduced ejection fraction (HFrEF), mildly reduced ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF). We identified 16,516 adult patients with an incident HF diagnosis and an echocardiogram from 2005 to 2017 in the electronic medical record of Kaiser Permanente Northwest.
View Article and Find Full Text PDFThe cardiometabolic syndrome focuses on the association between type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD), whereas the cardiorenal syndrome focuses on the association between chronic kidney disease (CKD) and heart failure (HF). Consideration of these two syndromes as a single entity has not been well described. We used the electronic medical records of Kaiser Permanente Northwest to identify 387,985 members aged 18+ years with a serum creatinine measured from 2005 to 2017.
View Article and Find Full Text PDFObjective: To investigate the association between type 1 diabetes mellitus (T1D) and type 2 diabetes mellitus (T2D) with risk of sudden cardiac arrest (SCA).
Methods: In a prospective community-based study of SCA from February 1, 2002, through November 30, 2019, we ascertained 2771 cases age 18 years of age or older and matched them to 8313 controls based on geography, age, sex, and race/ethnicity. We used logistic regression to evaluate the independent association between diabetes, T1D, T2D, and SCA.
Aims/hypothesis: Mortality has declined in people with type 1 diabetes in recent decades. We examined how the pattern of decline differs by country, age and sex, and how mortality trends in type 1 diabetes relate to trends in general population mortality.
Methods: We assembled aggregate data on all-cause mortality during the period 2000-2016 in people with type 1 diabetes aged 0-79 years from Australia, Denmark, Latvia, Scotland, Spain (Catalonia) and the USA (Kaiser Permanente Northwest).
Background: Population-level trends in mortality among people with diabetes are inadequately described. We aimed to examine the magnitude and trends in excess all-cause mortality in people with diabetes.
Methods: In this retrospective, multicountry analysis, we collected aggregate data from 19 data sources in 16 high-income countries or jurisdictions (in six data sources in Asia, eight in Europe, one from Australia, and four from North America) for the period from Jan 1, 1995, to Dec 31, 2016, (or a subset of this period) on all-cause mortality in people with diagnosed total or type 2 diabetes.
Background: Diabetes prevalence is increasing in most places in the world, but prevalence is affected by both risk of developing diabetes and survival of those with diabetes. Diabetes incidence is a better metric to understand the trends in population risk of diabetes. Using a multicountry analysis, we aimed to ascertain whether the incidence of clinically diagnosed diabetes has changed over time.
View Article and Find Full Text PDFIntroduction: Type 2 diabetes (T2D) is a common condition that, if left untreated or poorly managed, can lead to adverse microvascular and macrovascular complications. We estimated the prevalence and incidence of microvascular and macrovascular complications among patients newly diagnosed with T2D within a US integrated healthcare system.
Research Design And Methods: We conducted a retrospective cohort study among patients newly diagnosed with T2D between 2003 and 2014.
Pharmacoepidemiol Drug Saf
March 2021
Background: Recorded diagnoses of acute pancreatitis (AP) are often inaccurate resulting in limited utility for case identification in large data sources, especially where electronic medical records (EMR) are not available. Our objectives were to validate diagnoses of AP and to identify an algorithm using additional data to enhance the identification of AP cases in different data sources.
Methods: We randomly sampled 550 persons with an AP diagnosis from inpatient data or outpatient or emergency department diagnoses immediately preceding a hospitalization and 150 negative controls with a differential diagnosis (cholangitis or cholecystitis).
Background: Patients with shockable sudden cardiac arrest (SCA; ventricular fibrillation/tachycardia) have significantly better resuscitation outcomes than do those with nonshockable rhythm (pulseless electrical activity/asystole). Heart failure (HF) increases the risk of SCA, but presenting rhythms have not been previously evaluated.
Objective: We hypothesized that based on unique characteristics, HFpEF (HF with preserved ejection fraction; left ventricular ejection fraction [LVEF] ≥50%), bHFpEF (HF with borderline preserved ejection fraction; LVEF >40% and <50%), and HFrEF (HF with reduced ejection fraction; LVEF ≤40%) manifest differences in presenting rhythm during SCA.
J Diabetes Complications
August 2020
Objective: To estimate time in suboptimal glycemic control among patients with incident type 2 diabetes (T2D) over 10 years.
Methods: We calculated percent of time in suboptimal glycemic control using three A1C thresholds (8%, 7.5%, 7%) following T2D diagnosis.
Background: CKD is associated with higher health care costs that increase with disease progression. However, research is lacking on the type of health care costs associated with CKD across all stages in a general population with a substantial comorbidity burden.
Methods: Using electronic medical records of an integrated delivery system, we evaluated health care costs by expenditure type in general and in patients with CKD by eGFR and presence of comorbidities.
An amendment to this paper has been published and can be accessed via the original article.
View Article and Find Full Text PDFBackground: Studies of progression of kidney dysfunction typically focus on renal replacement therapy or percentage decline in estimated glomerular filtration rate (eGFR) as outcomes. Our aim was to compare real-world patients with and without T2D to estimate progression from and to clinically defined categories of kidney disease and all-cause mortality.
Methods: This was an observational cohort study of 31,931 patients with and 33,201 age/sex matched patients without type 2 diabetes (T2D) who had a serum creatinine and urine albumin-to-creatinine ratio (UACR) or dipstick proteinuria (DP) values.
Background: Both hyperkalemia and hypokalemia can lead to cardiac arrhythmias and are associated with increased mortality. Information on the predictors of potassium in individuals with diabetes in routine clinical practice is lacking.
Objective: To identify predictors of hyperkalemia and hypokalemia in adults with diabetes.
Background: We compared self-reported domains of health between patients who with vs. without a recent heart failure (HF) hospitalization.
Methods: We fielded a 59-item questionnaire that included the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12) to age/sex-matched groups of 2000 HF patients who had and had not had a recent HF hospitalization.
Aims: To describe the real-world prevalence and consequences of hypertriglyceridaemia.
Materials And Methods: We searched two large patient databases, the National Health and Nutrition Examination Survey (NHANES) database (2007-2014) and the Optum Research Database, as well as electronic medical records from two Kaiser Permanente regions.
Results: The NHANES data showed that ~26% of US adults, including nearly one-third of statin users, had at least borderline hypertriglyceridaemia (triglycerides [TGs] ≥1.
Technological progress in the past half century has greatly increased our ability to collect, store, and transmit vast quantities of information, giving rise to the term "big data." This term refers to very large data sets that can be analyzed to identify patterns, trends, and associations. In medicine-including diabetes care and research-big data come from three main sources: electronic medical records (EMRs), surveys and registries, and randomized controlled trials (RCTs).
View Article and Find Full Text PDFBackground: The effectiveness of severely reduced left ventricular ejection fraction (LVEF <35%) as a predictor of sudden cardiac death (SCD) has diminished, and improvements in risk stratification await discovery of novel markers. Right ventricular (RV) abnormalities can be observed in conditions such as chronic obstructive pulmonary disease and sleep apnea, which have been linked to SCD.
Objective: The purpose of this study was to evaluate whether RV abnormalities were associated with SCD after accounting for LVEF and other patient characteristics.
Aims: The aims of this study were to assess the impact of delays in treatment intensification (TI) on cardiovascular events, heart failure, and all-cause mortality at typical stages of anti-hyperglycaemic therapy.
Materials And Methods: Using electronic health record data, we created three TI cohorts of diabetes patients who: 1) initiated metformin (MET) as their first anti-hyperglycaemic therapy; 2) added a sulfonylurea (SU) to MET; and 3) initiated insulin (INS) while using MET or SU, alone or in combination. Primary exposure variables were haemoglobin A1C value preceding cohort therapy (pre-TI A1C) and time to intensification, that is, the time between pre-TI A1C >7% and cohort index date.
BMJ Open Diabetes Res Care
December 2018
Objective: To determine the possible association between insomnia and risk of type 2 diabetes mellitus (T2DM) in the naturalistic clinical setting.
Research Design And Methods: We conducted a retrospective cohort study to examine the risk of developing T2DM among patients with pre-diabetes with and without insomnia. Participants with pre-diabetes (identified by a physician or via two laboratory tests) between January 1, 2007 and December 31, 2015 and without sleep apnea were followed until December 31, 2016.
Purpose: As the Radiation Exposure Information and Reporting System (REIRS) celebrates 50 years of existence, this is an appropriate time to reflect on the innovative and novel system and how it has shaped the study of occupational radiation exposure. It is also fitting to appreciate the vision and initiative of the individuals who recognized the future value of the collection and analysis of this information to better inform regulations, policies, and epidemiologic studies, and thus contribute to the protection of workers and the public from the adverse health effects of radiation exposure.
Conclusions: REIRS has evolved and expanded over its 50-year history and has played a central role in providing the radiation exposure monitoring records for the Million Person Study for individuals monitored as NRC licensees and at DOE facilities.
Aim: To determine whether high triglycerides (TG) in the presence of statin-controlled LDL-C influence the risk of cardiovascular disease (CVD) among patients with diabetes in real-world clinical practice.
Materials And Methods: We identified adults with diabetes from the Southern California and Pacific Northwest regions of Kaiser Permanente. We included patients undergoing statin therapy with LDL-C from 40-100 mg/dL who were not undergoing other lipid-lowering therapies and had a prior diagnosis of atherosclerotic CVD or at least one other CVD risk factor.