Role of primary care in opioid prescribing for older head and neck cancer survivors.

BACKGROUND: Older head and neck cancer (HNC) survivors have concerning rates of potentially unsafe opioid prescribing. Identifying the specialties of opioid prescribers for HNC survivors is critical for targeting the settings for opioid safety interventions. This study hypothesized that oncology and surgery providers are primarily responsible for opioid prescriptions in the year after treatment but that primary care providers (PCPs) are increasingly involved in prescribing over time. METHODS: Using linked Surveillance, Epidemiology, and End Results-Medicare data, a retrospective analysis was conducted of adults aged >65 years diagnosed between 2014 and 2017 with stage I-III HNC and who had ≥6 months of treatment-free follow-up through 2019. Starting at treatment completion, opioid fills were assigned to a prescriber specialty: oncology, surgery, primary care, pain management, or other. Prescriber patterns were summarized for each year of follow-up. Multinomial logistic regression models captured the likelihood of opioids being prescribed by each specialty. RESULTS: Among 5135 HNC survivors, 2547 (50%) had ≥1 opioid fill (median, 2.1-year follow-up). PCPs prescribed 47% of all fills (42%-55% each year). PCPs prescribed opioids to 45% of survivors with ≥1 opioid fill, which was a greater share than other specialties. PCPs prescribed longer supplies of opioids (median, 20 days/fill; median, 30 days/year) than oncologists or surgeons. The likelihood of an opioid being prescribed by an oncology provider was four times lower than that of it being prescribed by a PCP. CONCLUSIONS: PCP involvement in opioid prescribing remains high throughout HNC survivorship. Interventions to improve the safety of opioid prescribing should target primary care, as is typical for opioid reduction efforts in the noncancer population.

Sodium-glucose cotransporter-2 inhibitors for hypergycemia in phosphoinositide 3-kinase pathway inhibition.

PURPOSE: Phosphoinositide 3-kinase (PI3K) inhibition is used for the treatment of certain cancers, but can cause profound hyperglycemia and insulin resistance, for which sodium-glucose cotransporter-2 (SGLT2) inhibitors have been proposed as a preferred therapy. The objective of this research is to assess the effectiveness and safety of SGLT2 inhibitors for hyperglycemia in PI3K inhibition. METHODS: We conducted a single-center retrospective review of adults initiating the PI3K inhibitor alpelisib. Exposure to different antidiabetic drugs and adverse events including diabetic ketoacidosis (DKA) were assessed through chart review. Plasma and point-of-care blood glucoses were extracted from the electronic medical record. Change in serum glucose and the rate of DKA on SGLT2 inhibitor versus other antidiabetic drugs were examined as co-primary outcomes. RESULTS: We identified 103 patients meeting eligibility criteria with median follow-up of 92 days after starting alpelisib. When SGLT2 inhibitors were used to treat hyperglycemia, they were associated with a decrease in mean random glucose by -46 mg/dL (95% CI - 77 to - 15) in adjusted linear modeling. Five cases of DKA were identified, two occurring in patients on alpelisib plus SGLT2 inhibitor. Estimated incidence of DKA was: alpelisib plus SGLT2 inhibitor, 48 DKA cases per 100 patient-years (95% CI 6, 171); alpelisib with non-SGLT2 inhibitor antidiabetic drugs, 15 (95% CI 2, 53); alpelisib only, 4 (95% CI 0.1, 22). CONCLUSIONS: SGLT2 inhibitors are effective treatments for hyperglycemia in the setting of PI3K inhibition.

Validation of an international classification of disease, tenth revision, clinical modification (ICD-10-CM) algorithm in identifying severe hypoglycaemia events for real-world studies.

AIM: The transition to the ICD-10-CM coding system has reduced the utility of hypoglycaemia algorithms based on ICD-9-CM diagnosis codes in real-world studies of antidiabetic drugs. We mapped a validated ICD-9-CM hypoglycaemia algorithm to ICD-10-CM codes to create an ICD-10-CM hypoglycaemia algorithm and assessed its performance in identifying severe hypoglycaemia. MATERIALS AND METHODS: We assembled a cohort of Medicare patients with DM and linked electronic health record (EHR) data to the University of North Carolina Health System and identified candidate severe hypoglycaemia events from their Medicare claims using the ICD-10-CM hypoglycaemia algorithm. We confirmed severe hypoglycaemia by EHR review and computed a positive predictive value (PPV) of the algorithm to assess its performance. We refined the algorithm by removing poor performing codes (PPV ≤0.5) and computed a Cohen's κ statistic to evaluate the agreement of the EHR reviews. RESULTS: The algorithm identified 642 candidate severe hypoglycaemia events, and we confirmed 455 as true severe hypoglycaemia events, PPV of 0.709 (95% confidence interval: 0.672, 0.744). When we refined the algorithm, the PPV increased to 0.893 (0.862, 0.918) and missed <2.42% (<11) true severe hypoglycaemia events. Agreement between reviewers was high, κ = 0.93 (0.89, 0.97). CONCLUSIONS: We translated an ICD-9-CM hypoglycaemia algorithm to an ICD-10-CM version and found its performance was modest. The performance of the algorithm improved by removing poor performing codes at the trade-off of missing very few severe hypoglycaemia events. The algorithm has the potential to be used to identify severe hypoglycaemia in real-world studies of antidiabetic drugs.

Individualized clinical decisions within standard-of-care pragmatic clinical trials: Implications for consent.

Pragmatic clinical trials of standard-of-care interventions compare the relative merits of medical treatments already in use. Traditional research informed consent processes pose significant obstacles to these trials, raising the question of whether they may be conducted with alteration or waiver of informed consent. However, to even be eligible, such a trial in the United States must have no more than minimal research risk. We argue that standard-of-care pragmatic clinical trials can be designed to ensure that they are minimal research risk if the random assignment of an intervention in a pragmatic clinical trial can accommodate individualized, clinically motivated decision-making for each participant. Such a design will ensure that the patient-participants are not exposed to any risks beyond the clinical risks of the interventions, and thus, the trial will have minimal research risk. We explain the logic of this view by comparing three scenarios of standard-of-care pragmatic clinical trials: one with informed consent, one without informed consent, and one recently proposed design called Decision Architecture Randomization Trial. We then conclude by briefly showing that our proposal suggests a natural way to determine when to use an alteration versus a waiver of informed consent.

Exocrine Pancreatic Insufficiency Induced by Immune Checkpoint Inhibitors.

BACKGROUND: Scant data describe exocrine pancreatic insufficiency (EPI) secondary to immune checkpoint inhibitor (ICI) use. The goal of this study is to describe the incidence, risk factors, and clinical characteristics of patients with ICI-related EPI. PATIENTS AND METHODS: A single center, retrospective case-control study was performed of all ICI-treated patients at Memorial Sloan Kettering Cancer Center between January 2011 and July 2020. ICI-related EPI patients had steatorrhea with or without abdominal discomfort or weight loss, started pancrelipase after initiation of ICI, and demonstrated symptomatic improvement with pancrelipase. Controls were matched 2:1 by age, race, sex, cancer type, and year of ICI start. RESULTS: Of 12 905 ICI-treated patients, 23 patients developed ICI-related EPI and were matched to 46 controls. The incidence rate of EPI was 1.18 cases per 1000 person-years and the median onset of EPI was 390 days after the first dose of ICI. All 23 (100%) EPI cases had steatorrhea that improved with pancrelipase, 12 (52.2%) had weight loss, and 9 (39.1%) had abdominal discomfort; none had changes of chronic pancreatitis on imaging. Nine (39%) EPI patients had episodes of clinical acute pancreatitis preceding the onset of EPI, compared to 1 (2%) control (OR 18.0 (2.5-789.0), P < .001). Finally, the EPI group exhibited higher proportions of new or worsening hyperglycemia after ICI exposure compared with the control group (9 (39.1%) vs. 3 (6.5%), P < .01). CONCLUSION: ICI-related EPI is a rare but clinically significant event that should be considered in patients with late onset diarrhea after ICI treatment and often is associated with development of hyperglycemia and diabetes.

Prescriber Uncertainty as Opportunity to Improve Care of Type 2 Diabetes with Chronic Kidney Disease: Mixed Methods Study.

BACKGROUND: Over 5 million patients in the United States have type 2 diabetes mellitus (T2D) with chronic kidney disease (CKD); antidiabetic drug selection for this population is complex and has important implications for outcomes. OBJECTIVE: To better understand how providers choose antidiabetic drugs in T2D with CKD DESIGN: Mixed methods. Interviews with providers underwent qualitative analysis using grounded theory to identify themes related to antidiabetic drug prescribing. A provider survey used vignettes and direct questions to quantitatively assess prescribers' knowledge and preferences. A retrospective cohort analysis of real-world prescribing data assessed the external validity of the interview and survey findings. PARTICIPANTS: Primary care physicians, endocrinologists, nurse-practitioners, and physicians' assistants were eligible for interviews; primary care physicians and endocrinologists were eligible for the survey; prescribing data were derived from adult patients with serum creatinine data. MAIN MEASURES: Interviews were qualitative; for the survey and retrospective cohort, proportion of patients receiving metformin was the primary outcome. KEY RESULTS: Interviews with 9 providers identified a theme of uncertainty about guidelines for prescribing antidiabetic drugs in patients with T2D and CKD. The survey had 105 respondents: 74 primary care providers and 31 endocrinologists. Metformin was the most common choice for patients with T2D and CKD. Compared to primary care providers, endocrinologists were less likely to prescribe metformin at levels of kidney function at which it is contraindicated and more likely to correctly answer a question about metformin's contraindications (71% versus 41%) (p < .05). Real-world data were consistent with survey findings, and further showed low rates of use of sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists (<10%) in patients with eGFR below 60 ml/min/1.73m2. CONCLUSIONS: Providers are unsure how to treat T2D with CKD and incompletely informed as to existing guidelines. This suggests opportunities to improve care.

Instrumented difference-in-differences.

Unmeasured confounding is a key threat to reliable causal inference based on observational studies. Motivated from two powerful natural experiment devices, the instrumental variables and difference-in-differences, we propose a new method called instrumented difference-in-differences that explicitly leverages exogenous randomness in an exposure trend to estimate the average and conditional average treatment effect in the presence of unmeasured confounding. We develop the identification assumptions using the potential outcomes framework. We propose a Wald estimator and a class of multiply robust and efficient semiparametric estimators, with provable consistency and asymptotic normality. In addition, we extend the instrumented difference-in-differences to a two-sample design to facilitate investigations of delayed treatment effect and provide a measure of weak identification. We demonstrate our results in simulated and real datasets.

Rejoinder to "Instrumented difference-in-differences".

We thank all the discussants for the careful reading and insightful comments. In our rejoinder, we extend the discussion of how the assumptions of instrumented difference-in-differences (iDID) compare to the assumptions of the standard instrumental variable method. We also make additional comments on how iDID is related to the fuzzy DID. We highlight future research directions to enhance the utility of iDID, including extensions to adjust for covariate shift in two-sample iDID design, and generalization of iDID to multiple time points and a multi-valued instrumental variable for DID.

Group sequential testing under instrumented difference-in-differences approach.

Unmeasured confounding is a major obstacle to reliable causal inference based on observational studies. Instrumented difference-in-differences (iDiD), a novel idea connecting instrumental variable and standard DiD, ameliorates the above issue by explicitly leveraging exogenous randomness in an exposure trend. In this article, we utilize the above idea of iDiD, and propose a novel group sequential testing method that provides valid inference even in the presence of unmeasured confounders. At each time point, we estimate the average or conditional average treatment effect under iDiD setting using the data accumulated up to that time point, and test the significance of the treatment effect. We derive the joint distribution of the test statistics under the null using the asymptotic properties of M-estimation, and the group sequential boundaries are obtained using the α $$ \alpha $$ -spending functions. The performance of our proposed approach is evaluated on both synthetic data and Clinformatics Data Mart Database (OptumInsight, Eden Prairie, MN) to examine the association between rofecoxib and acute myocardial infarction, and our method detects significant adverse effect of rofecoxib much earlier than the time when it was finally withdrawn from the market.

Preoperative glucose in surgical oncology patient is not associated with postoperative outcomes after adjustment for frailty.

BACKGROUND: Observational studies have shown associations between even small elevations in preoperative glucose and poorer outcomes, including increased length of stay (LOS) and higher mortality. This has led to calls for aggressive glycemic control in the preoperative period, including delay of treatment until glucose is reduced. However, it is not known whether there is a direct causal effect of blood glucose or whether adverse outcomes result from overall poorer health in patients with higher glucose. METHODS: Analysis was performed using a retrospective database of patients aged 65 and older who underwent cancer surgery. The last measured preoperative glucose was the exposure variable. The primary outcome was extended LOS (>4 days). Secondary outcomes included mortality, acute kidney injury (AKI), major postoperative complications during the admission period, and readmission within 30 days. The primary analysis was a logistic regression with prespecified covariates: age, sex, surgical service, and the Memorial Sloan Kettering-Frailty Index. In an exploratory analysis, lasso regression was used to select covariates from a list of 4160 candidate variables. RESULTS: This study included 3796 patients with a median preoperative glucose of 104 mg/dL (interquartile range: 93-125). Higher preoperative glucose was univariately associated with increased odds of LOS > 4 days (odds ratio [OR]: 1.45, 95% confidence interval [CI]: 1.22-1.73), with similar results for AKI, readmission, and mortality. Adjustment for confounders eliminated these associations for LOS (OR: 0.97 [95% CI: 0.80-1.18]) and attenuated all other glucose-outcome associations. Lasso regression gave comparable results to the primary analysis. Using the upper bound of the respective 95% confidence interval, we estimated that, at best, successful reduction of elevated preoperative glucose would reduce the risk of LOS > 4 days, 30-day major complication, and 30-day mortality by 4%, 0.5%, and 1.3%, respectively. CONCLUSIONS: Poor outcomes following cancer surgery in older adults with elevated glucose are most likely related to poorer overall health in these patients rather than a direct causal effect of glucose. Aggressive glycemic management in the preoperative period has very limited potential benefits and is therefore unwarranted.

Impact of a Provider Tele-mentoring Learning Model on the Care of Medicaid-enrolled Patients With Diabetes.

BACKGROUND: Project ECHO (Extension for Community Healthcare Outcomes), a tele-mentoring program for health care providers, has been shown to improve provider-reported outcomes, but there is insufficient research on patient-level outcomes. OBJECTIVES: To evaluate the impact of primary care provider (PCP) participation in Project ECHO on the care of Medicaid enrollees with diabetes. RESEARCH DESIGN: New Jersey Medicaid claims and encounter data and difference-in-differences models were used to compare utilization and spending between Medicaid patients seen by PCPs participating in a Project ECHO program to those of matched nonparticipating PCPs. SUBJECTS: A total of 1776 adult Medicaid beneficiaries (318 with diabetes), attributed to 25 participating PCPs; and 9126 total (1454 diabetic) beneficiaries attributed to 119 nonparticipating PCPs. MEASURES: Utilization and spending for total inpatient, diabetes-related inpatient, emergency department, primary care, and endocrinologist services; utilization of hemoglobin A1c tests, eye exams, and diabetes prescription medications among diabetics, and total Medicaid spending. RESULTS: Participation in Project ECHO was associated with decreases of 44.3% in inpatient admissions (P=0.001) and 61.9% in inpatient spending (P=0.021) among treatment relative to comparison patients. Signs of most other outcome estimates were consistent with hypothesized program effects but without statistical significance. Sensitivity analyses largely confirmed these findings. CONCLUSIONS: We find evidence that Project ECHO participation was associated with large and statistically significant reductions of inpatient hospitalization and spending. The study was observational and limited by a small sample of participating PCPs. This study demonstrates the feasibility and potential value of quasi-experimental evaluation of Project ECHO patient outcomes using claims data.

Chronic Medication Nonadherence and Potentially Preventable Healthcare Utilization and Spending Among Medicare Patients.

BACKGROUND: The association between nonadherence to chronic medications and potentially preventable healthcare utilization and spending is largely unknown. OBJECTIVES: To examine the associations of chronic medication nonadherence with potentially preventable utilization and spending among patients who were prescribed diabetic medications, renin-angiotensin system antagonists (RASA) for hypertension, or statins for high cholesterol, and compare the associations by patient race/ethnicity and socioeconomic status. DESIGN: Retrospective cohort study. Medicare fee-for-service claims data from 2013 to 2016 for 177,881 patients. MEASURES: Medication nonadherence was defined as having a below 80% proportion of days covered in each 6-month interval after the index prescription. Potentially preventable utilization was measured by preventable emergency department visits and preventable hospitalizations. Potentially preventable spending was calculated as the geographically adjusted spending associated with preventable encounters. RESULTS: After adjustment for other patient characteristics, medication nonadherence was associated with a 1.7-percentage-point increase (95% confidence interval [CI]: 1.4 to 2.0 percentage points, p < 0.001) in the probability of preventable utilization among the diabetic medication cohort, a 1.7-percentage-point increase (95% CI: 1.5 to 1.9 percentage points, p < 0.001) among the RASA cohort, and a 1.0-percentage-point increase (95% CI: 0.8 to 1.1 percentage points, p < 0.001) among the statin cohort. Among patients with at least one preventable encounter, medication nonadherence was associated with $679-$898 increased preventable spending. The incremental probability of preventable utilization and incremental spending associated with nonadherence were higher among racial/ethnic minority and low socioeconomic groups. CONCLUSIONS: Improving medication adherence is a potential avenue to reducing preventable utilization and spending. Interventions are needed to address racial/ethnic and socioeconomic disparities.

Baseline haemoglobin A1c and the risk of COVID-19 hospitalization among patients with diabetes in the INSIGHT Clinical Research Network.

AIMS: To examine the association between baseline glucose control and risk of COVID-19 hospitalization and in-hospital death among patients with diabetes. METHODS: We performed a retrospective cohort study of adult patients in the INSIGHT Clinical Research Network with a diabetes diagnosis and haemoglobin A1c (HbA1c) measurement in the year prior to an index date of March 15, 2020. Patients were divided into four exposure groups based on their most recent HbA1c measurement (in mmol/mol): 39-46 (5.7%-6.4%), 48-57 (6.5%-7.4%), 58-85 (7.5%-9.9%), and ≥86 (10%). Time to COVID-19 hospitalization was compared in the four groups in a propensity score-weighted Cox proportional hazards model adjusting for potential confounders. Patients were followed until June 15, 2020. In-hospital death was examined as a secondary outcome. RESULTS: Of 168,803 patients who met inclusion criteria; 50,016 patients had baseline HbA1c 39-46 (5.7%-6.4%); 54,729 had HbA1c 48-57 (6.5-7.4%); 47,640 had HbA1c 58-85 (7.5^%-9.9%) and 16,418 had HbA1c ≥86 (10%). Compared with patients with HbA1c 48-57 (6.5%-7.4%), the risk of hospitalization was incrementally greater for those with HbA1c 58-85 (7.5%-9.9%) (adjusted hazard ratio [aHR] 1.19, 95% confidence interval [CI] 1.06-1.34) and HbA1c ≥86 (10%) (aHR 1.40, 95% CI 1.19-1.64). The risk of COVID-19 in-hospital death was increased only in patients with HbA1c 58-85 (7.5%-9.9%) (aHR 1.29, 95% CI 1.06, 1.61). CONCLUSIONS: Diabetes patients with high baseline HbA1c had a greater risk of COVID-19 hospitalization, although association between HbA1c and in-hospital death was less consistent. Preventive efforts for COVID-19 should be focused on diabetes patients with poor glucose control.

Safety and effectiveness of metformin in patients with reduced renal function: A systematic review.

AIM: To examine clinical and safety outcomes associated with metformin use in patients with impaired renal function. MATERIALS AND METHODS: We searched PubMed and Embase databases from inception to August 2020, supplementing our search with a review of investigator files and reference lists of included studies. Any study reporting original data on metformin and patient-centred outcomes in patients with impaired renal function, defined as an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73m2 , was included. Post hoc meta-analysis was performed for the outcomes of mortality, cardiovascular events and acidosis. RESULTS: Nine small prospective studies enrolling patients with significantly impaired renal function identified only one case of clinically apparent lactic acidosis. Among 13 larger retrospective studies, seven examined the risk of mortality across patient subgroups; meta-analysis showed reductions in overall mortality at an eGFR of 45 mL/min/1.73m2 or higher but not at an eGFR of less than 45 mL/min/1.73m2 . Eight retrospective studies evaluated acidosis as an outcome; meta-analysis showed no increase in risk of acidosis except at an eGFR of less than 30 mL/min/1.73m2 , in which group the HR was 1.97 (95% CI 1.03-3.77). CONCLUSIONS: The literature shows metformin to be associated with reduced mortality and no increased risk of acidosis at an eGFR of 45 mL/min/1.73m2 or higher. Metformin appears to be associated with fewer benefits and possible increases in the risk of acidosis at an eGFR of less than 30 mL/min/1.73m2 . Consistent with US Food and Drug Administration guidelines, metformin should not be used at an eGFR less than 30 mL/min/1.73m2 , and further research on its risk-benefit profile at eGFR values approaching 30 mL/min/1.73m2 is warranted.

The risk of sudden cardiac arrest and ventricular arrhythmia with rosiglitazone versus pioglitazone: real-world evidence on thiazolidinedione safety.

BACKGROUND: The low cost of thiazolidinediones makes them a potentially valuable therapeutic option for the > 300 million economically disadvantaged persons worldwide with type 2 diabetes mellitus. Differential selectivity of thiazolidinediones for peroxisome proliferator-activated receptors in the myocardium may lead to disparate arrhythmogenic effects. We examined real-world effects of thiazolidinediones on outpatient-originating sudden cardiac arrest (SCA) and ventricular arrhythmia (VA). METHODS: We conducted population-based high-dimensional propensity score-matched cohort studies in five Medicaid programs (California, Florida, New York, Ohio, Pennsylvania | 1999-2012) and a commercial health insurance plan (Optum Clinformatics | 2000-2016). We defined exposure based on incident rosiglitazone or pioglitazone dispensings; the latter served as an active comparator. We controlled for confounding by matching exposure groups on propensity score, informed by baseline covariates identified via a data adaptive approach. We ascertained SCA/VA outcomes precipitating hospital presentation using a validated, diagnosis-based algorithm. We generated marginal hazard ratios (HRs) via Cox proportional hazards regression that accounted for clustering within matched pairs. We prespecified Medicaid and Optum findings as primary and secondary, respectively; the latter served as a conceptual replication dataset. RESULTS: The adjusted HR for SCA/VA among rosiglitazone (vs. pioglitazone) users was 0.91 (0.75-1.10) in Medicaid and 0.88 (0.61-1.28) in Optum. Among Medicaid but not Optum enrollees, we found treatment effect heterogeneity by sex (adjusted HRs = 0.71 [0.54-0.93] and 1.16 [0.89-1.52] in men and women respectively, interaction term p-value = 0.01). CONCLUSIONS: Rosiglitazone and pioglitazone appear to be associated with similar risks of SCA/VA.

"Not Alone Anymore": The Experiences of Adults With Diabetes in New York's Medicaid Health Home Program.

BACKGROUND: New York State Medicaid's Health Home program is an example of a natural experiment that could affect individuals with diabetes. While evaluations of interventions such as the Health Home program are generally based solely on clinical and administrative data and rarely examine patients' experience, patients may add to the understanding of the intervention's implementation and mechanisms of impact. OBJECTIVE: The objective of this study was to qualitatively examine the health and nonmedical challenges faced by Medicaid-insured patients with diabetes and their experiences with the services provided by New York's Health Homes to address these challenges. RESEARCH DESIGN: We performed 10 focus groups and 23 individual interviews using a guide developed in collaboration with a stakeholder board. We performed a thematic analysis to identify cross-cutting themes. SUBJECTS: A total of 63 Medicaid-insured individuals with diabetes, 31 of whom were enrolled in New York's Health Home program. RESULTS: While participants were not generally familiar with the term "Health Home," they described and appreciated services consistent with Health Home enrollment delivered by care managers. Services addressed challenges in access to care, especially by facilitating and reminding participants about appointments, and nonmedical needs, such as transportation, housing, and help at home. Participants valued their personal relationships with care managers and the psychosocial support they provided. CONCLUSIONS: From the perspective of its enrollees, the Health Home program primarily addressed access to care, but also addressed material and psychosocial needs. These findings have implications for Health Home entities and for research assessing their impact.

Trial of restarting and tolerating metformin (TreatMet).

This randomized, double-blind, placebo-controlled, n-of-1 crossover study assessed whether metformin's side effects are reproducible in patients with a history of metformin intolerance. Participants completed up to four cycles of 2 weeks of metformin exposure and 2 weeks of placebo exposure. Participants completed surveys based on the Gastrointestinal Symptom Rating Scale and the Treatment Satisfaction Questionnaire for Medication. The primary hypotheses were that treatment satisfaction would be equal for placebo and metformin and that more than 30% of the study enrollees would be able to adhere to a higher dose of metformin 6 months after participation. Thirteen patients (all women, mean age 52.4 years) enrolled, three of whom were lost to follow-up or were non-adherent to study protocol. Metformin was associated with significantly lower global treatment satisfaction scores compared with placebo (39.58 vs. 53.75, P < .05 ) but participants could not distinguish metformin from placebo and did not report higher rates of gastrointestinal side effects on metformin. Two out of 10 participants adhered to a higher dose of metformin after trial completion. Metformin appears to have barriers to use beyond its classic gastrointestinal side effects.

Twelve-year trends in pharmacologic treatment of type 2 diabetes among patients with heart failure in the United States.

We conducted a cross-sectional analysis using a database from commercial health plans in the United States to describe trends in the use of antidiabetic medications among patients with type 2 diabetes and heart failure (HF) from 2006 through 2017. We used loop diuretic dose as a surrogate for HF severity (mild HF 0-40 mg/day, moderate-severe HF >40 mg/day). We assessed antidiabetic medication dispensing in the 90 days following HF diagnosis. Over the 12-year period, we identified an increase in the use of metformin (39.2% vs. 62.6%), dipeptidyl peptidase-4 inhibitors (DPP-4i) (0.5% vs. 17.1%) and sodium-glucose co-transporter-2 inhibitors (SGLT-2i) (0.0% vs. 9.0%), but a decrease in the use of sulphonylureas (47.8% vs. 27.8%) and thiazolidinediones (TZDs) (31.7% vs. 5.3%). In 2017, patients with moderate-severe HF more commonly used insulin (43.1%); a majority of mild HF patients used metformin (62.8%). A proportion of patients with moderate-severe HF used TZDs (4.4%). Among patients with diabetes and HF, the use of metformin and DPP-4i rapidly increased, but a proportion of patients with moderate-severe HF continued to use TZDs. Despite their promising cardiovascular safety profile, SGLT-2i use remains limited.

Hospitalization as an Opportunity to Optimize Glycemic Control in Oncology Patients.

PURPOSE OF REVIEW: Many patients experience hyperglycemia during cancer treatment, either as a new-onset condition or as an exacerbation of existing diabetes. This can impact treatment and outcomes, increasing the risk of complications and worsening health-related quality of life (HRQoL). These issues may be particularly significant when patients are hospitalized and/or acutely ill. The purpose of this review is to identify common barriers and strategies specific to the inpatient setting to improve glycemic control and minimize complications both while patients are hospitalized and after discharge. RECENT FINDINGS: Hyperglycemia in patients who are hospitalized during cancer treatment is common, but there is a lack of consensus on goals and approaches to glycemic management in this setting. Hyperglycemia related to oncology treatment can have unusual causes and challenges in management. Organizational guidelines can help standardize treatment and guide providers in managing hyperglycemia in oncology patients during hospitalization and upon discharge. Hospitalization is a critical period that provides an opportunity to reassess and modify management plans, coordinate follow-up care, and, crucially, educate and empower patients to successfully manage their blood glucose levels once they are discharged. Emerging technology such as patient portals can facilitate hyperglycemia management after discharge. This review discusses evidences and strategies to utilize the period of hospitalization to develop and implement an individualized plan of care for patients with concurrent hyperglycemia and cancer.