Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease.

INTRODUCTION: Benign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast cancer. It has been suggested that temporal changes in MBD may impact future invasive breast cancer risk, but this has not been studied among women with BBD. METHODS: We undertook a nested case-control study within a cohort of 15,395 women with BBD in Kaiser Permanente Northwest (KPNW; 1970-2012, followed through mid-2015). Cases (n = 261) developed invasive breast cancer > 1 year after BBD diagnosis, whereas controls (n = 249) did not have breast cancer by the case diagnosis date. Cases and controls were individually matched on BBD diagnosis age and plan membership duration. Standardized %MBD change (per 2 years), categorized as stable/any increase (≥ 0%), minimal decrease of less than 5% or a decrease greater than or equal to 5%, was determined from baseline and follow-up mammograms. Associations between MBD change and breast cancer risk were examined using adjusted unconditional logistic regression. RESULTS: Overall, 64.5% (n = 329) of BBD patients had non-proliferative and 35.5% (n = 181) had proliferative disease with/without atypia. Women with an MBD decrease (≤ - 5%) were less likely to develop breast cancer (Odds Ratio (OR) 0.64; 95% Confidence Interval (CI) 0.38, 1.07) compared with women with minimal decreases. Associations were stronger among women ≥ 50 years at BBD diagnosis (OR 0.48; 95% CI 0.25, 0.92) and with proliferative BBD (OR 0.32; 95% CI 0.11, 0.99). DISCUSSION: Assessment of temporal MBD changes may inform risk monitoring among women with BBD, and strategies to actively reduce MBD may help decrease future breast cancer risk.

Medication for Opioid Use Disorder During Pregnancy - Maternal and Infant Network to Understand Outcomes Associated with Use of Medication for Opioid Use Disorder During Pregnancy (MAT-LINK), 2014-2021.

Problem: Medication for opioid use disorder (MOUD) is recommended for persons with opioid use disorder (OUD) during pregnancy. However, knowledge gaps exist about best practices for management of OUD during pregnancy and these data are needed to guide clinical care. Period Covered: 2014-2021. Description of the System: Established in 2019, the Maternal and Infant Network to Understand Outcomes Associated with Medication for Opioid Use Disorder During Pregnancy (MAT-LINK) is a surveillance network of seven clinical sites in the United States. Boston Medical Center, Kaiser Permanente Northwest, The Ohio State University, and the University of Utah were the initial clinical sites in 2019. In 2021, three clinical sites were added to the network (the University of New Mexico, the University of Rochester, and the University of South Florida). Persons receiving care at the seven clinical sites are diverse in terms of geography, urbanicity, race and ethnicity, insurance coverage, and type of MOUD received. The goal of MAT-LINK is to capture demographic and clinical information about persons with OUD during pregnancy to better understand the effect of MOUD on outcomes and, ultimately, provide information for clinical care and public health interventions for this population. MAT-LINK maintains strict confidentiality through robust information technology architecture. MAT-LINK surveillance methods, population characteristics, and evaluation findings are described in this inaugural surveillance report. This report is the first to describe the system, presenting detailed information on funding, structure, data elements, and methods as well as findings from a surveillance evaluation. The findings presented in this report are limited to selected demographic characteristics of pregnant persons overall and by MOUD treatment status. Clinical and outcome data are not included because data collection and cleaning have not been completed; initial analyses of clinical and outcome data will begin in 2023. Results: The MAT-LINK surveillance network gathered data on 5,541 reported pregnancies with a known pregnancy outcome during 2014-2021 among persons with OUD from seven clinical sites. The mean maternal age was 29.7 (SD = ±5.1) years. By race and ethnicity, 86.3% of pregnant persons were identified as White, 25.4% as Hispanic or Latino, and 5.8% as Black or African American. Among pregnant persons, 81.6% had public insurance, and 84.4% lived in urban areas. Compared with persons not receiving MOUD during pregnancy, those receiving MOUD during pregnancy were more likely to be older and White and to have public insurance. The evaluation of the surveillance system found that the initial four clinical sites were not representative of demographics of the South or Southwest regions of the United States and had low representation from certain racial and ethnic groups compared with the overall U.S. population; however, the addition of three clinical sites in 2021 made the surveillance network more representative. Automated extraction and processing improved the speed of data collection and analysis. The ability to add new clinical sites and variables demonstrated the flexibility of MAT-LINK. Interpretation: MAT-LINK is the first surveillance system to collect comprehensive, longitudinal data on pregnant person-infant dyads with perinatal outcomes associated with MOUD during pregnancy from multiple clinical sites. Analyses of clinical site data demonstrated different sociodemographic characteristics between the MOUD and non-MOUD treatment groups. Public Health Actions: MAT-LINK is a timely and flexible surveillance system with data on approximately 5,500 pregnancies. Ongoing data collection and analyses of these data will provide information to support clinical and public health guidance to improve health outcomes among pregnant persons with OUD and their children.

Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk.

Background: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge. Methods: By applying machine-learning to digitized hematoxylin and eosin-stained biopsies and computer-assisted thresholding to mammograms obtained circa BBD diagnosis, we generated quantitative tissue composition metrics and determined their association with future invasive breast cancer diagnosis. Archival breast biopsies and mammograms were obtained for women (18-86 years of age) in a case-control study, nested within a cohort of 15 395 BBD patients from Kaiser Permanente Northwest (1970-2012), followed through mid-2015. Patients who developed incident invasive breast cancer (ie, cases; n = 514) and those who did not (ie, controls; n = 514) were matched on BBD diagnosis age and plan membership duration. All statistical tests were 2-sided. Results: Increasing epithelial area on the BBD biopsy was associated with increasing breast cancer risk (odds ratio [OR]Q4 vs Q1 = 1.85, 95% confidence interval [CI] = 1.13 to 3.04; P trend = .02). Conversely, increasing stroma was associated with decreased risk in nonproliferative, but not proliferative, BBD (P heterogeneity = .002). Increasing epithelium-to-stroma proportion (ORQ4 vs Q1 = 2.06, 95% CI =1.28 to 3.33; P trend = .002) and percent mammographic density (MBD) (ORQ4 vs Q1 = 2.20, 95% CI = 1.20 to 4.03; P trend = .01) were independently and strongly predictive of increased breast cancer risk. In combination, women with high epithelium-to-stroma proportion and high MBD had substantially higher risk than those with low epithelium-to-stroma proportion and low MBD (OR = 2.27, 95% CI = 1.27 to 4.06; P trend = .005), particularly among women with nonproliferative (P trend = .01) vs proliferative (P trend = .33) BBD. Conclusion: Among BBD patients, increasing epithelium-to-stroma proportion on BBD biopsies and percent MBD at BBD diagnosis were independently and jointly associated with increasing breast cancer risk. These findings were particularly striking for women with nonproliferative disease (comprising approximately 70% of all BBD patients), for whom relevant predictive biomarkers are lacking.

Risk factors for breast cancer development by tumor characteristics among women with benign breast disease.

BACKGROUND: Among women diagnosed with invasive breast cancer, 30% have a prior diagnosis of benign breast disease (BBD). Thus, it is important to identify factors among BBD patients that elevate invasive cancer risk. In the general population, risk factors differ in their associations by clinical pathologic features; however, whether women with BBD show etiologic heterogeneity in the types of breast cancers they develop remains unknown. METHODS: Using a nested case-control study of BBD and breast cancer risk conducted in a community healthcare plan (Kaiser Permanente Northwest), we assessed relationships of histologic features in BBD biopsies and patient characteristics with subsequent breast cancer risk and tested for heterogeneity of associations by estrogen receptor (ER) status, tumor grade, and size. The study included 514 invasive breast cancer cases (median follow-up of 9 years post-BBD diagnosis) and 514 matched controls, diagnosed with proliferative or non-proliferative BBD between 1971 and 2006, with follow-up through mid-2015. Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained using multivariable polytomous logistic regression models. RESULTS: Breast cancers were predominantly ER-positive (86%), well or moderately differentiated (73%), small (74% < 20 mm), and stage I/II (91%). Compared to patients with non-proliferative BBD, proliferative BBD with atypia conferred increased risk for ER-positive cancer (OR = 5.48, 95% CI = 2.14-14.01) with only one ER-negative case, P-heterogeneity = 0.45. The presence of columnar cell lesions (CCLs) at BBD diagnosis was associated with a 1.5-fold increase in the risk of both ER-positive and ER-negative tumors, with a 2-fold increase (95% CI = 1.21-3.58) observed among postmenopausal women (56%), independent of proliferative BBD status with and without atypia. We did not identify statistically significant differences in risk factor associations by tumor grade or size. CONCLUSION: Most tumors that developed after a BBD diagnosis in this cohort were highly treatable low-stage ER-positive tumors. CCL in BBD biopsies may be associated with moderately increased risk, independent of BBD histology, and irrespective of ER status.

Prevalence of Unmet Basic Needs and Association with Diabetes Control and Care Utilization Among Insured Persons with Diabetes.

Unmet basic needs (eg, food insecurity, inadequate housing) are major barriers to diabetes self-management. The purpose of this study was to identify the prevalence of unmet basic needs and examine the association with diabetes control and care utilization among insured persons with diabetes. A total of 4043 adult patients with diabetes were screened for unmet basic needs using Your Current Life Situation, a screener for unmet basic needs, during a clinical encounter or as an online survey, during the study period (January 1, 2016-August 31, 2017). Hemoglobin A1c and care utilization (outpatient, emergency department [ED], hospitalization, diabetes-related prescription refills) were extracted from the electronic health record 12 months prior to screening. The authors compared patients with unmet basic needs to those with no needs on poor diabetes control (ie, A1c ≥8%) and care utilization using multivariable regression models. Of the 4043 patients screened, 25% endorsed ≥1 unmet basic need. In adjusted analyses, the presence of unmet basic needs was associated with an increased likelihood of having an A1c ≥8% (OR = 1.77; 95% CI 1.47, 2.13), more outpatient visits (incidence rate ratio [IRR] = 1.3; 1.2, 1.4), more ED visits (IRR = 2.3; 2.0, 2.6), more hospitalizations (IRR = 1.8; 1.5, 2.2), and more delays in refilling diabetes medication (IRR = 1.21; 1.13, 1.30). Findings indicate that unmet basic needs are highly prevalent, even among an insured patient population, and are associated with poor diabetes-related clinical outcomes and excess utilization. Future studies to determine best strategies to integrate this information into treatment planning are warranted.

Correction to: Kidney disease progression and all-cause mortality across estimated glomerular filtration rate and albuminuria categories among patients with vs. without type 2 diabetes.

An amendment to this paper has been published and can be accessed via the original article.

Kidney disease progression and all-cause mortality across estimated glomerular filtration rate and albuminuria categories among patients with vs. without type 2 diabetes.

BACKGROUND: 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. We used the first available serum creatinine value between 2006 and 2012 to calculate baseline eGFR and categorized them and the corresponding UACR/DP values using the Kidney Disease Improving Global Outcomes (KDIGO) categories. To assess our primary outcomes, we extracted probabilities of eGFR progression or mortality from life-table analyses and conducted multivariable Cox regression analyses of relative risk adjusted for age, sex, race/ethnicity, smoking, ischemic heart disease, heart failure, and use of renal-angiotensin-aldosterone system inhibitors. RESULTS: Patterns of eGFR decline were comparable among patients with vs. without T2D with larger percentage declines at higher albuminuria levels across all eGFR categories. eGFR decline was generally larger among T2D patients, particularly in those with severely increased albuminuria. Across all CKD categories, risk of progression to the next higher category of eGFR was substantially increased with increasing albuminuria. For example, the risk was 23.5, 36.2, and 65.1% among T2D patients with eGFR 30-59 ml/min/1.73m2 and UACR < 30, 30-299, and > 300 mg/dL, respectively (p < 0.001). Other comparisons were similarly significant. Among patients with low eGFR and normal to mildly increased albuminuria, the relative risk was up to 8-fold greater for all-cause mortality compared with the non-CKD subgroup (eGFR> 60 ml/min/1.73m2 with normal to mildly increased albuminuria). CONCLUSIONS: Presence of albuminuria was associated with accelerated eGFR decline independent of T2D. Risk for adverse outcomes was remarkably high among patients with CKD and normal to mildly increased albuminuria levels. Independent of T2D or albuminuria, a substantial risk for adverse outcomes exists for CKD patients in a routine care setting.

Prevalence and incidence of urinary tract and genital infections among patients with and without type 2 diabetes.

OBJECTIVE: Epidemiological data on genitourinary infections (GUIs) comparing patients with and without type 2 diabetes (T2DM) is scant. We aimed to estimate the incidence of urinary tract infections (UTIs), genital infections (GIs), or any GUI in total and stratified by history of GUI and sex. RESEARCH DESIGN AND METHODS: We identified 39,295 patients in the Kaiser Permanente Northwest health plan with T2DM and an equal number of age and sex matched patients without diabetes. The cohort was followed for up to 9years (2006-2014). We calculated incidence rates and corresponding 95% confidence intervals (CI) of any GUI, UTIs and GIs adjusting for age, sex, race, BMI, presence of chronic kidney disease, annual number of outpatient visits, and diuretic use. RESULTS: Adjusted incidence of any GUI was 97.2/1000person-years (p-y) (95% CI 95.5-98.8) among the T2DM cohort vs. 79.7/1000 p-y (78.3-81.2) among those without diabetes. T2DM was associated with an adjusted 25% increased risk of UTI (rate ratio 1.25, 95% CI 1.22-1.29), a 26% increased risk of GI (1.26, 1.22-1.31) and a 22% increased risk of any GUI (1.22, 1.19-1.25). Incidence rates were lower among those with no GUI history, but the relative risks were similar. Women in both groups had higher incidence rates of GUIs than men. CONCLUSIONS: T2DM was associated with increased risks of any GUI, UTIs and GIs. Incidence rates of UTIs were higher than rates of GIs, but the relative risk of GIs was essentially identical. A similar pattern was observed when stratifying by sex. SIGNIFICANCE OF THE STUDY: RESEARCH QUESTIONS.

Effect of Combination Cholesterol-Lowering Therapy and Triglyceride-Lowering Therapy on Medical Costs in Patients With Type 2 Diabetes Mellitus.

High triglyceride (TG) levels among patients with type 2 diabetes mellitus (DM) are associated with higher medical costs. We analyzed the economic impact of TG-lowering therapies and whether the association between medical costs and therapy differed according to TG reduction. We conducted an observational cohort study of 184,932 patients with diabetes mellitus who had a TG measurement between January 2012 and June 2013 and a second TG measurement 3 to 15 months later. We identified 4 therapy groups (statin monotherapy, TG-specific monotherapy, statin/TG-specific combination therapy, or no therapy) and stratified those groups by percent change in TG (increased ≥5%, change of ≤4.9%, decreased 5% to 29%, decreased ≥30%). We compared change in medical costs between the year before and after therapy, adjusted for demographic and clinical characteristics. Of the 184,932 total patients, 143,549 (77.6%) received statin monotherapy, 900 (0.5%) received TG-specific monotherapy, 1,956 (1.1%) received statin and TG-specific combination therapy, and 38,527 (20.8%) received no prescription lipid agents. After covariate adjustment, statin/TG-specific agent recipients had a mean 1-year total cost reduction of $1,110. The greatest cost reduction was seen among statin/TG-specific combination therapy patients who reduced TG levels by ≥30% (-$2,859). Statin monotherapy patients who reduced TG by ≥30% also had a large reduction in adjusted costs (-$1,079). In conclusion, we found a substantial economic benefit to treating diabetic patients with statin/TG-specific combination lipid therapy compared with monotherapy of either type or no lipid pharmacotherapy. A TG reduction of ≥30% produced a particularly large reduction in 1-year medical costs.

The Change in HbA1c Associated with Initial Adherence and Subsequent Change in Adherence among Diabetes Patients Newly Initiating Metformin Therapy.

Introduction. Whether changes in adherence are associated with changes in HbA1c is assumed but not known. Methods. We conducted a observational study of 2,844 type 2 diabetes patients who initiated metformin as their first antihyperglycemic drug. Using HbA1c measures before, 6-12 months after, and up to 3 years after metformin initiation, we analyzed HbA1c change as a function of initial adherence and change in adherence. Results. Compared with no adherence, initial adherence of 50-79% was associated with an adjusted reduction in HbA1c of 0.45% while adherence ≥80% was associated with HbA1c reduction of 0.73%. Change from some initial adherence (1-79%) to total nonadherence was associated with 0.25% increase in HbA1c. Change from some to full adherence was associated with an HbA1c decrease of 0.15%. Those associations were accentuated among patients not in glycemic control: change from some to no adherence was associated with an HbA1c increase of 0.63% and change from some to full adherence was associated with an HbA1c decrease of 0.40%. Conclusions. Initial adherence to newly prescribed metformin therapy produces substantial HbA1c reduction. Among those with modest adherence but suboptimal glycemic control, the difference between moving to full adherence versus nonadherence results in lower HbA1c of one percentage point.

Medical Care Costs Associated With Long-term Weight Maintenance Versus Weight Gain Among Patients With Type 2 Diabetes.

OBJECTIVE: Weight loss is recommended for overweight patients with diabetes but avoidance of weight gain may be a more realistic goal. We calculated the 4-year economic impact of maintaining body weight versus gaining weight. RESEARCH DESIGN AND METHODS: Among 8,154 patients with type 2 diabetes, we calculated weight change as the difference between the first body weight measure in 2010 and the last measure in 2013 and calculated mean glycated hemoglobin (A1C) from all measurements from 2010 to 2013. We created four analysis groups: weight change <5% and A1C <7%; weight gain ≥5% and A1C <7%; weight change <5% and A1C ≥7%; and weight gain ≥5% and A1C ≥7%. We compared change in medical costs between 2010 and 2013, adjusted for demographic and clinical characteristics. RESULTS: Patients who maintained weight within 5% of baseline experienced a reduction in costs of about $400 regardless of A1C. In contrast, patients who gained ≥5% of baseline weight and had mean A1C ≥7% had an increase in costs of $1,473 (P < 0.001). Those who gained >5% of their baseline weight with mean A1C <7% had a modest increase in costs ($387, NS). CONCLUSIONS: Patients who gained at least 5% of their baseline body weight and did not maintain A1C <7% over 4 years experienced a 14% increase in medical costs, whereas those who maintained good glycemic control had a mean cost increase of 3.3%. However, patients who maintained weight within 5% of baseline had costs that were ∼5% lower than baseline. Avoidance of weight gain may reduce costs in the long-term.

Comparison of Risk of Re-hospitalization, All-Cause Mortality, and Medical Care Resource Utilization in Patients With Heart Failure and Preserved Versus Reduced Ejection Fraction.

Because heart failure (HF) with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF) are different clinical entities with differing demographic characteristics, common HF outcomes may occur at different rates. Comparative outcome studies have been equivocal, and studies comparing resource utilization are scant. We used an observational cohort design to study 6,513 patients hospitalized for HF who had an EF measured during the hospitalization and were discharged alive within 30 days. We excluded 677 patients with borderline EF values (41% to 49%) and categorized the remaining as HFrEF (EF ≤40%, n = 2,205) and HFpEF (EF >50%, n = 3,631). Patients were followed for up to 1 year for all-cause re-hospitalization and mortality and annualized medical resource utilization. Patients with HFrEF and HFpEF experienced similar adjusted incidence rates of re-hospitalization, but those with HFrEF had a 39% increased risk of mortality at 30 days (rate ratio 1.39, 95% confidence interval 1.10 to 1.76) and 25% greater risk at 1 year (rate ratio1.25, 95% confidence interval 1.12 to 1.41). After adjustment for covariates, patients with HFpEF incurred significantly more annualized outpatient visits (21.5 vs 20.1, p = 0.002) and emergency room visits (3.24 vs 2.94, p = 0.002) than those with HFrEF, but absolute differences were small. High inpatient and pharmacy utilization did not differ. Our study suggests that whether a patient has HFrEF or HFpEF has little bearing on risk of re-hospitalization or inpatient resource utilization in the year after an HF hospitalization. Both groups experienced high mortality, but those with HFrEF had greater risk. In conclusion, from the standpoint of resource use, HF can be considered a single entity.

Relation of Acute Heart Failure Hospital Length of Stay to Subsequent Readmission and All-Cause Mortality.

Heart failure (HF) hospitalization length of stay (LOS) has been associated with the risk of subsequent readmission and mortality. We identified 19,927 hospitalized patients with HF who were discharged alive from 2008 to 2011 from 3 Kaiser Permanente regions. In adjusted Cox models using LOS 3 to 4 days as the reference category, shorter LOS was not significantly associated with hospital readmissions. LOS of 5 to 10 days was associated with 17% greater risk of readmission within 30 days (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.07 to 1.28) and 9% greater risk within 1 year (HR 1.09, 95% CI 1.03 to 1.15). LOS of 11 to 29 days was associated with increased readmission risk of 52% at 30 days (HR 1.52, 95% CI 1.30 to 1.76) and 25% at 1 year (HR 1.25, 95% CI 1.16 to 1.35). Mortality risk within 30 days among those with LOS of 1 day was 47% lower (HR 0.53, 95% CI 0.43 to 0.65) and 32% lower at 1 year (HR 0.68, 95% CI 0.62 to 0.74). LOS of 2 days was associated with lower mortality risk of 17% (HR 0.83, 95% CI 0.76 to 0.90) at 1 year. At LOS 5 to 10 days, 30-day and 1-year risk of mortality was increased by 52% (HR 1.52, 95% CI 1.30 to 1.76) and 25% (HR 1.25, 95% CI 1.16 to 1.35), respectively. LOS of 11 to 29 days was associated with 171% higher mortality risk at 30 days (HR 2.71, 95% CI 2.19 to 3.35) and 73% at 1 year (HR 1.73, 95% CI 1.53 to 1.97). Longer LOS during the index HF hospitalization was associated with readmission and mortality within 30 days and 1 year independent of co-morbidities and cardiovascular risk factors. These results suggest that LOS may be a proxy for the severity of HF during the index hospitalization.

The economic burden of progressive chronic kidney disease among patients with type 2 diabetes.

AIMS: To estimate the rate of progression of chronic kidney disease (CKD) among patients with type 2 diabetes (T2D) and calculate medical costs associated with progression. METHODS: We conducted a retrospective cohort study of 25,576 members at Kaiser Permanente who had T2D and at least one serum creatinine measurement in 2005. Using estimated glomerular filtration rate (eGFR), we assigned patients to baseline stages of kidney function (stage 0-2, >60ml/min/1.73m(2), n=21,008; stage 3, 30-59, n=3,885; stage 4, 15-29, n=683). We examined all subsequent eGFRs through 2010 to assess progression of kidney disease. Medical costs at baseline and incremental costs during follow-up were assessed. RESULTS: Mean age of patients was 60.6years, 51% were men, and mean diabetes duration was 5.3years. At baseline, 17.9% of patients with T2D also had stage 3 or 4 CKD. Incremental adjusted costs that occurred over follow-up (from baseline) was on average $4569, $12,617, and $33,162 per patient per year higher among patients who progressed from baseline stage 0-2, stage 3, and stage 4 CKD, respectively, compared to those who did not progress. Across all stages of CKD, those who progressed to a higher stage of CKD from baseline had follow-up costs that ranged from 2 to 4 times higher than those who did not progress. CONCLUSIONS: Progression of CKD in T2D drives substantial medical care costs. Interventions designed to minimize decline in progressive kidney function, particularly among patients with stage 3 or 4 CKD, may reduce the economic burden of CKD in T2D.

Glycemic response and attainment of A1C goals following newly initiated insulin therapy for type 2 diabetes.

OBJECTIVE: To identify the characteristics associated with glycemic response to newly initiated insulin therapy. RESEARCH DESIGN AND METHODS: We identified 1,139 type 2 diabetic patients who initiated insulin therapy between 1 January 2009 and 30 June 2010. Outcomes of interest were the proportion of patients achieving A1C <7% and mean change in A1C within 3-9 months. RESULTS: Mean A1C at insulin initiation was 8.2 vs. 9.2% among those who did and did not attain A1C <7% (P < 0.001). Within a mean of 5 months, 464 (40.7%) patients attained A1C <7%. In multivariable analyses controlling for insulin regimen, dose, and oral agent use, preinsulin A1C was responsible for nearly all the explained variance in A1C change. Each one percentage point of preinsulin A1C reduced the probability of attaining <7% by 26% (odds ratio 0.74 [95% CI 0.68-0.80]). CONCLUSIONS: Insulin initiation at lower levels of A1C improves goal attainment and independently increases glycemic response.

Incidence and risk factors for venous thromboembolic disease in podiatric surgery.

BACKGROUND: The Agency for Healthcare Research and Quality ranks prevention of venous thromboembolism (VTE) as a top priority for patient safety; however, no guidelines or population-based research exist to guide management for podiatric surgery patients. The objective of our study was to determine the incidence and risk factors for postprocedure VTE in podiatric surgery. METHODS: A 5-year retrospective analysis of patients undergoing podiatric surgery in a large not-for-profit health maintenance organization serving > 485,000 members in the Pacific Northwest from 1999 to 2004. RESULTS: We identified 16,804 surgical procedures in 7,264 patients and detected 22 symptomatic postprocedure VTEs. The overall incidence of postprocedure VTE was 0.30%. Three risk factors were significantly and independently associated with VTE in podiatric surgery: prior VTE (incidence, 4.6%; relative risk, 23.0; p < 0.001), use of hormone replacement therapy or oral contraceptives (incidence, 0.55%; relative risk, 4.2; p = 0.01), and obesity (incidence, 0.48%; relative risk, 3.0; p = 0.02). CONCLUSIONS: We identified a low overall risk of VTE in podiatric surgery, suggesting that routine prophylaxis is not warranted. However, for patients with a history of VTE, periprocedure prophylaxis is suggested based on the level of risk. For podiatry surgery patients with two or more risk factors for VTE, periprocedure prophylaxis should be considered. Until a prospective study is completed testing recommendations, guidelines and care decisions for podiatric surgery patients will continue to be based on retrospective data, expert consensus, and clinical judgment.

Screening HMO women overdue for both mammograms and pap tests.

BACKGROUND: Regular screening has the potential to reduce breast and cervical cancer mortality, but despite health plan programs to encourage screening, many women remain unscreened. Tailored communications have been identified as a promising approach to promote mammography and Pap test screening. METHODS: The study used a four-group randomized design to compare with Usual Care the separate and combined effects of two tailored, motivational interventions to increase screening-a clinical office In-reach intervention and a sequential letter/telephone Outreach intervention. Subjects were 510 female HMO members ages 52-69 who had had no mammogram in the past 2 years and no Pap smear in the past 3 years. Primary outcomes were the percentage of women in each condition who received a mammogram, a Pap smear, or both screening tests during the 14-month study period. RESULTS: Thirty-two percent of the Combined group, 39% of the Outreach group, and 26% of the In-reach group obtained both services versus 19% of Usual Care participants. Overall, compared with Usual Care, both Outreach (P = 0.006) and Combined (P = 0.05) screened significantly more women. For subjects ages 65-69, Outreach rates were lower than those of Usual Care. CONCLUSION: A tailored letter-telephone Outreach appears to be more effective at screening women ages 52-64 than a tailored office-based intervention, in large part because most In-reach women did not have clinic visits at which to receive the intervention.