Approach to Multimorbidity Burden Classification and Outcomes in Older Adults With Heart Failure.

BACKGROUND: The optimal approach to classifying multimorbidity burden in assessing treatment-associated outcomes using real-world data remains uncertain. We assessed whether 2 measurement approaches to characterize multimorbidity influenced observed associations of ß-blocker use with outcomes in adults with heart failure (HF). METHODS: We conducted a retrospective study on adults with HF from 4 integrated health care delivery systems. Multimorbidity burden was characterized by either (1) simple counts of chronic conditions or (2) a weighted multiple chronic conditions score using data from electronic health records. We assessed the impact of these 2 approaches to characterizing multimorbidity on associations between exposure to ß-blockers and subsequent all-cause death, hospitalization for HF, and hospitalization for any cause. RESULTS: The study population characterized by a count of chronic conditions included 9988 adults with HF who had a mean (SD) age of 76.4 (12.5) years, with 48.7% women and 24.7% racial/ethnic minorities. The cohort characterized by weighted multiple chronic conditions included 10,082 adults with HF who had a mean (SD) age of 76.4 (12.4) years, 48.9% women, and 25.5% racial/ethnic minorities. The multivariable associations of risks of death or hospitalizations for HF or for any cause associated with incident ß-blocker use were similar regardless of how multimorbidity burden was characterized. CONCLUSIONS: Simple counts of chronic conditions performed similarly to a weighted multimorbidity score in predicting outcomes using real-world data to examine clinical outcomes associated with ß-blocker therapy in HF. Our findings challenge conventional wisdom that more complex measures of multimorbidity are always necessary to characterize patients in observational studies examining therapy-associated outcomes.

A Primary Care-Based Cognitive Behavioral Therapy Intervention for Long-Term Opioid Users With Chronic Pain : A Randomized Pragmatic Trial.

BACKGROUND: Chronic pain is common, disabling, and costly. Few clinical trials have examined cognitive behavioral therapy (CBT) interventions embedded in primary care settings to improve chronic pain among those receiving long-term opioid therapy. OBJECTIVE: To determine the effectiveness of a group-based CBT intervention for chronic pain. DESIGN: Pragmatic, cluster randomized controlled trial. (ClinicalTrials.gov: NCT02113592). SETTING: Kaiser Permanente health care systems in Georgia, Hawaii, and the Northwest. PARTICIPANTS: Adults (aged ≥18 years) with mixed chronic pain conditions receiving long-term opioid therapy. INTERVENTION: A CBT intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorist, nurse, physical therapist, and pharmacist) versus usual care. MEASUREMENTS: Self-reported pain impact (primary outcome, as measured by the PEGS scale [pain intensity and interference with enjoyment of life, general activity, and sleep]) was assessed quarterly over 12 months. Pain-related disability, satisfaction with care, and opioid and benzodiazepine use based on electronic health care data were secondary outcomes. RESULTS: A total of 850 patients participated, representing 106 clusters of primary care providers (mean age, 60.3 years; 67.4% women); 816 (96.0%) completed follow-up assessments. Intervention patients sustained larger reductions on all self-reported outcomes from baseline to 12-month follow-up; the change in PEGS score was -0.434 point (95% CI, -0.690 to -0.178 point) for pain impact, and the change in pain-related disability was -0.060 point (CI, -0.084 to -0.035 point). At 6 months, intervention patients reported higher satisfaction with primary care (difference, 0.230 point [CI, 0.053 to 0.406 point]) and pain services (difference, 0.336 point [CI, 0.129 to 0.543 point]). Benzodiazepine use decreased more in the intervention group (absolute risk difference, -0.055 [CI, -0.099 to -0.011]), but opioid use did not differ significantly between groups. LIMITATION: The inclusion of only patients with insurance in large integrated health care systems limited generalizability, and the clinical effect of change in scores is unclear. CONCLUSION: Primary care-based CBT, using frontline clinicians, produced modest but sustained reductions in measures of pain and pain-related disability compared with usual care but did not reduce use of opioid medication. PRIMARY FUNDING SOURCE: National Institutes of Health.

"I really had somebody in my corner." Patient experiences with a pharmacist-led opioid tapering program.

BACKGROUND: Opioid tapering has been identified as an effective strategy to prevent the dangers associated with long-term opioid therapy for patients with chronic pain. However, many patients are resistant to tapering, and conversations about tapering can be challenging for health care providers. Pharmacists can play a role in supporting both providers and patients with the process of opioid tapering. OBJECTIVE: Qualitatively describe patient experiences with a unique phone-based and pharmacy-led opioid tapering program implemented within an integrated health care system. METHODS: In-depth telephone interviews with patients who completed the program were recorded, transcribed, and analyzed. Themes were identified through a constant comparative approach. RESULTS: We completed 25 interviews; 80% of patients were women (20), with a mean age of 58 years, and 72% (18) had been using opioids for pain management for 10 or more years. Most (60%) described a positive and satisfying experience with the tapering program. Strengths of the program reported by patients included a patient-centered and compassionate taper approach, flexible taper pace, easy access to knowledgeable pharmacist advocates, and resultant improvements in quality of life (e.g., increased energy). Challenges reported included: unhelpful or difficult-to-access nonpharmacological pain management options, negative quality of life impacts (e.g., inability to exercise), and lack of choice in the taper process. At the end of tapering, most patients (72%) described their pain as reduced or manageable rather than worse and expressed willingness to use the program in the future if a need should arise. CONCLUSIONS: Patients in a pharmacist-led opioid tapering program appreciated the program's individualized approach to care and access to pharmacist' expertise. Most interviewed patients successfully reduced their opioid use and recommended that the program should continue as an offered service. To improve the program, patients suggested increased personalization of the taper process and additional support for withdrawal symptoms and nonpharmacological pain management.

Bariatric Surgery and Risk of Death in Persons With Chronic Kidney Disease.

OBJECTIVE: A retrospective cohort study investigated the association between having surgery and risk of mortality for up to 5 years and if this association was modified by incident ESRD during the follow-up period. Summary of Background Data: Mortality risk in individuals with pre-dialysis CKD is high and few effective treatment options are available. Whether bariatric surgery can improve survival in people with CKD is unclear. METHODS: Patients with class II and III obesity and pre-dialysis CKD stages 3-5 who underwent bariatric surgery between January 1, 2006 and September 30, 2015 (n = 802) were matched to patients who did not have surgery (n = 4933). Mortality was obtained from state death records and ESRD was identified through state-based or healthcare system-based registries. Cox regression models were used to investigate the association between bariatric surgery and risk of mortality and if this was moderated by incident ESRD during the follow-up period. RESULTS: Patients were primarily women (79%), non-Hispanic White (72%), under 65 years old (64%), who had a body mass index > 40kg/m 2 (59%), diabetes (67%), and hypertension (89%). After adjusting for incident ESRD, bariatric surgery was associated with a 79% lower 5-year risk of mortality compared to matched controls (hazard ratio = 0.21; 95% confidence interval: 0.14-0.32; P < 0.001). Incident ESRD did not moderate the observed association between surgery and mortality (hazard ratio = 1.59; 95% confidence interval: 0.31-8.23; P =0.58). CONCLUSIONS: Bariatric surgery is associated with a reduction in mortality in pre-dialysis patients regardless of developing ESRD. These findings are significant because patients with CKD are at relatively high risk for death with few efficacious interventions available to improve survival.

Economic Evaluation: A Randomized Pragmatic Trial of a Primary Care-based Cognitive Behavioral Intervention for Adults Receiving Long-term Opioids for Chronic Pain.

BACKGROUND: Chronic pain is prevalent and costly; cost-effective nonpharmacological approaches that reduce pain and improve patient functioning are needed. OBJECTIVE: Report the incremental cost-effectiveness ratio (ICER), compared with usual care, of cognitive behavioral therapy aimed at improving functioning and pain among patients with chronic pain on long-term opioid treatment. DESIGN: Economic evaluation conducted alongside a pragmatic cluster randomized trial. SUBJECTS: Adults with chronic pain on long-term opioid treatment (N=814). INTERVENTION: A cognitive behavioral therapy intervention teaching pain self-management skills in 12 weekly, 90-minute groups delivered by an interdisciplinary team (behaviorists, nurses) with additional support from physical therapists, and pharmacists. OUTCOME MEASURES: Cost per quality adjusted life year (QALY) gained, and cost per additional responder (≥30% improvement on standard scale assessment of Pain, Enjoyment, General Activity, and Sleep). Costs were estimated as-delivered, and replication. RESULTS: Per patient intervention replication costs were $2145 ($2574 as-delivered). Those costs were completely offset by lower medical care costs; inclusive of the intervention, total medical care over follow-up was $1841 lower for intervention patients. Intervention group patients also had greater QALY and responder gains than did controls. Supplemental analyses using pain-related medical care costs revealed ICERs of $35,000, and $53,000 per QALY (for replication, and as-delivered intervention costs, respectively); the ICER when excluding patients with outlier follow-up costs was $106,000. LIMITATIONS: Limited to 1-year follow-up; identification of pain-related utilization potentially incomplete. CONCLUSION: The intervention was the optimal choice at commonly accepted levels of willingness-to-pay for QALY gains; this finding was robust to sensitivity analyses.

Physician adjudication of angioedema diagnosis codes in a population of patients with heart failure prescribed angiotensin-converting enzyme inhibitor therapy.

PURPOSE: Our objective was to calculate the positive predictive value (PPV) of the ICD-9 diagnosis code for angioedema when physicians adjudicate the events by electronic health record review. Our secondary objective was to evaluate the inter-rater reliability of physician adjudication. METHODS: Patients from the Cardiovascular Research Network previously diagnosed with heart failure who were started on angiotensin-converting enzyme inhibitors (ACEI) during the study period (July 1, 2006 through September 30, 2015) were included. A team of two physicians per participating site adjudicated possible events using electronic health records for all patients coded for angioedema for a total of five sites. The PPV was calculated as the number of physician-adjudicated cases divided by all cases with the diagnosis code of angioedema (ICD-9-CM code 995.1) meeting the inclusion criteria. The inter-rater reliability of physician teams, or kappa statistic, was also calculated. RESULTS: There were 38 061 adults with heart failure initiating ACEI in the study (21 489 patient-years). Of 114 coded events that were adjudicated by physicians, 98 angioedema events were confirmed for a PPV of 86% (95% CI: 80%, 92%). The kappa statistic based on physician inter-rater reliability was 0.65 (95% CI: 0.47, 0.82). CONCLUSIONS: ICD-9 diagnosis code of 995.1 (angioneurotic edema, not elsewhere classified) is highly predictive of angioedema in adults with heart failure exposed to ACEI.

"We Need to Taper." Interviews with Clinicians and Pharmacists About Use of a Pharmacy-Led Opioid Tapering Program.

OBJECTIVE: To identify factors that influence or interfere with referrals by primary care providers (PCPs) to a pharmacist-led telephone-based program to assist patients undergoing opioid tapering. The Support Team Onsite Resource for Management of Pain (STORM) program provides individualized patient care and supports PCPs in managing opioid tapers. DESIGN: Qualitative interviews were conducted with referring PCPs and STORM staff. Interview guides addressed concepts from the RE-AIM framework, focusing on issues affecting referral to the STORM program. SETTING: An integrated healthcare system (HCS) in the Northwest United States. SUBJECTS: Thirty-five interviews were conducted with 20 PCPs and 15 STORM staff. METHODS: Constant comparative analysis was used to identify key themes from interviews. A codebook was developed based on interview data and a qualitative software program was used for coding, iterative review, and content analysis. Representative quotes illustrate identified themes. RESULTS: Use of the STORM opioid tapering program was influenced by PCP, patient, and HCS considerations. Factors motivating use of STORM included lack of PCP time to support chronic pain patients requiring opioid tapering and the perception that STORM is a valued partner in patient care. Impediments to referral included PCP confidence in managing opioid tapering, patient resistance to tapering, forgetting about program availability, and PCP resistance to evolving guidelines regarding opioid tapering goals. CONCLUSIONS: PCPs recognized that STORM supported patient safety and reduced clinician burden. Utilization of the program could be improved through ongoing PCP education about the service and consistent co-location of STORM pharmacists within primary care clinics.

Factors associated with opioid-tapering success: A mixed methods study.

OBJECTIVE: Opioid tapering is recommended when risks of chronic opioid use outweigh benefits. Little is known about patient characteristics or factors related to tapering success. We sought to identify characteristics that predict a 50% reduction in opioid use and qualitatively characterize factors that impact tapering success. METHODS: We used multilevel hierarchical modeling to identify predictors of a 50% reduction in opioid use among Kaiser Permanente Northwest patients who underwent pharmacist-led tapering between 2012 and 2017. We conducted qualitative interviews among patients and pharmacists to identify factors influencing tapering success. RESULTS: We identified 1384 patients who, on average, were dispensed 207 milligram morphine equivalents per day at baseline. After 12 months, 56% of patients reduced their opioid use by 50%. Increased odds of 50% reduction were associated with younger age 21-49 years (Odds ratio [OR] 1.32, P = 0.004); previous surgery (OR 2.24, P < 0.001); increased number of Addiction Medicine encounters (OR 1.25, P = 0.011); substance use disorder (OR 1.62, P = 0.001); anxiety (OR 1.32, P = 0.003); non-narcotic analgesic (OR 1.22, P = 0.025) or antipsychotic medication use (OR 1.53, P = 0.006); and opioid days supplied in the previous year (OR 1.08, P < 0.001). Patients and pharmacists noted that success was influenced by patients' willingness or resistance to change opioid use, the level of patient engagement achieved through communication with their provider, aspects of the tapering process such as pace, and external factors including health issues or caregiving responsibilities. CONCLUSIONS: Over one-half of patients who underwent tapering reduced their opioid use by 50%. Patient demographic and clinical characteristics were predictive of tapering success; however, patients and pharmacists noted that patient willingness, motivation, and personal circumstances also influence tapering outcome. Opioid tapering requires an individualized approach. Both clinical factors and personal circumstances should be considered when opioid tapering is being discussed as a possible solution for a patient.

Development of a multivariable prediction model to identify patients unlikely to complete a colonoscopy following an abnormal FIT test in community clinics.

BACKGROUND: Colorectal cancer (CRC) is the 3rd leading cancer killer among men and women in the US. The Strategies and Opportunities to STOP Colon Cancer in Priority Populations (STOP CRC) project aimed to increase CRC screening among patients in Federally Qualified Health Centers (FQHCs) through a mailed fecal immunochemical test (FIT) outreach program. However, rates of completion of the follow-up colonoscopy following an abnormal FIT remain low. We developed a multivariable prediction model using data available in the electronic health record to assess the probability of patients obtaining a colonoscopy following an abnormal FIT test. METHODS: To assess the probability of obtaining a colonoscopy, we used Cox regression to develop a risk prediction model among a retrospective cohort of patients with an abnormal FIT result. RESULTS: Of 1596 patients with an abnormal FIT result, 556 (34.8%) had a recorded colonoscopy within 6 months. The model shows an adequate separation of patients across risk levels for non-adherence to follow-up colonoscopy (bootstrap-corrected C-statistic > 0.63). The refined model included 8 variables: age, race, insurance, GINI income inequality, long-term anticoagulant use, receipt of a flu vaccine in the past year, frequency of missed clinic appointments, and clinic site. The probability of obtaining a follow-up colonoscopy within 6 months varied across quintiles; patients in the lowest quintile had an estimated 18% chance, whereas patients in the top quintile had a greater than 55% chance of obtaining a follow-up colonoscopy. CONCLUSIONS: Knowing who is unlikely to follow-up on an abnormal FIT test could help identify patients who need an early intervention aimed at completing a follow-up colonoscopy. TRIAL REGISTRATION: This trial was registered at ClinicalTrials.gov ( NCT01742065 ) on December 5, 2012. The protocol is available.

Performance of a quantitative fecal immunochemical test for detecting advanced colorectal neoplasia: a prospective cohort study.

BACKGROUND: The fecal immunochemical test (FIT) is easier to use and more sensitive than the guaiac fecal occult blood test, but it is unclear how to optimize FIT performance. We compared the sensitivity and specificity for detecting advanced colorectal neoplasia between single-sample (1-FIT) and two-sample (2-FIT) FIT protocols at a range of hemoglobin concentration cutoffs for a positive test. METHODS: We recruited 2,761 average-risk men and women ages 49-75 referred for colonoscopy within a large nonprofit, group-model health maintenance organization (HMO), and asked them to complete two separate single-sample FITs. We generated receiver-operating characteristic (ROC) curves to compare sensitivity and specificity estimates for 1-FIT and 2-FIT protocols among those who completed both FIT kits and colonoscopy. We similarly compared sensitivity and specificity between hemoglobin concentration cutoffs for a single-sample FIT. RESULTS: Differences in sensitivity and specificity between the 1-FIT and 2-FIT protocols were not statistically significant at any of the pre-specified hemoglobin concentration cutoffs (10, 15, 20, 25, and 30 µg/g). There was a significant difference in test performance of the one-sample FIT between 50 ng/ml (10 µg/g) and each of the higher pre-specified cutoffs. Disease prevalence was low. CONCLUSIONS: A two-sample FIT is not superior to a one-sample FIT in detection of advanced adenomas; the one-sample FIT at a hemoglobin concentration cutoff of 50 ng/ml (10 µg/g) is significantly more sensitive for advanced adenomas than at higher cutoffs. These findings apply to a population of younger, average-risk patients in a U.S. integrated care system with high rates of prior screening.

Diagnosis-based cohort augmentation using laboratory results data: The case of chronic kidney disease.

PURPOSE: In this report, we use data from FDA's Sentinel System to focus on how augmenting a diagnosis-based chronic kidney disease cohort with patients identified through laboratory results impacts cohort characteristics and outcomes. METHODS: We used data from 2 Data Partners. Patients were eligible if they were health plan members on January 1, 2012. We classified chronic kidney disease patients into mutually exclusive categories according to the hierarchy of (1) ICD-9-CM diagnosis (DXGroup), or (2) two estimated glomerular filtration rates <60 mL/min/1.73m2 , separated by at least 90 days (2-LabGroup), or (3) a single estimated glomerular filtration rates <60 mL/min/1.73m2 (1-LabGroup). We compared the groups on demographic, clinical, and health care utilization characteristics using pairwise standardized differences. We used Cox regression to compare the groups on mortality, adjusting for baseline covariates. RESULTS: We identified 209 864 patients: 107 607 in DxGroup (51%) and 102 257 (49%) from laboratory data alone. For every characteristic, the DxGroup was the sickest, followed by the 2-LabGroup and then the 1-LabGroup. The DxGroup was more likely to die than 2-LabGroup (hazard ratio [HR], 1.47; 95% CI, 1.22-1.77) at Site 1; that effect was observed, but attenuated, at Site 2 (HR, 1.16; 95% CI, 1.07-1.25). The DxGroup was more likely to die than the 1-LabGroup at Site 1 (HR, 1.36; 95% CI, 1.20-1.55), but not at Site 2 (HR, 0.94; 95% CI, 0.89-1.00). CONCLUSIONS: We suggest that drug safety researchers consider whether the method of cohort identification contributes to generalizability of safety findings.

Risk of Breast Cancer With Long-Term Use of Calcium Channel Blockers or Angiotensin-Converting Enzyme Inhibitors Among Older Women.

Controversy exists about breast cancer risk associated with long-term use of calcium channel blockers (CCBs) or angiotensin-converting enzyme inhibitors (ACEis), respectively. Our objective in this study was to separately evaluate associations between duration of CCB or ACEi use and breast cancer in hypertensive women aged ≥55 years at 3 sites in the Kaiser Permanente health-care system (1997­2012). Exposures included CCB or ACEi use of 1­12 years' duration, determined from pharmacy dispensings. Outcomes included invasive lobular or ductal carcinoma. Statistical methods included discrete-time survival analyses. The cohort included 19,674 (17.9%) CCB users and 90,078 (82.1%) ACEi users. Two percent (n = 397) of CCB users and 1.9% (n = 1,733) of ACEi users developed breast cancer. Compared with 1­<2 years of use, in adjusted analysis, there was no association between CCB use for 2­<12 years and breast cancer: All 95% confidence intervals included 1. Increasing duration of ACEi use was associated with reduced breast cancer risk: Compared with 1­<2 years of use, the adjusted hazard ratio was 0.76 (95% confidence interval: 0.63, 0.92) for 5­<6 years of use and 0.63 (95% confidence interval: 0.43, 0.93) for 9­<10 years of use. We conclude that among older women with hypertension, long-term CCB use does not increase breast cancer risk and long-term treatment with ACEis may confer protection against breast cancer.

Improving Adherence to Cardiovascular Therapies: An Economic Evaluation of a Randomized Pragmatic Trial.

OBJECTIVE: Preplanned economic analysis of a pragmatic trial using electronic-medical-record-linked interactive voice recognition (IVR) reminders for enhancing adherence to cardiovascular medications (i.e., statins, angiotensin-converting enzyme inhibitors [ACEIs], and angiotensin receptor blockers [ARBs]). METHODS: Three groups, usual care (UC), IVR, and IVR plus educational materials (IVR+), with 21,752 suboptimally adherent patients underwent follow-up for 9.6 months on average. Costs to implement and deliver the intervention (from a payer perspective) were tracked during the trial. Medical care costs and outcomes were ascertained using electronic medical records. RESULTS: Per-patient intervention costs ranged from $9 to $17 for IVR and from $36 to $47 for IVR+. For ACEI/ARB, the incremental cost-effectiveness ratio for each percent adherence increase was about 3 times higher with IVR+ than with IVR ($6 and $16 for IVR and IVR+, respectively). For statins, the incremental cost-effectiveness ratio for each percent adherence increase was about 7 times higher with IVR+ than with IVR ($6 and $43 for IVR and IVR+, respectively). Considering potential cost offsets from reduced cardiovascular events, the probability of breakeven was the highest for UC, but the IVR-based interventions had a higher probability of breakeven for subgroups with a baseline low-density lipoprotein (LDL) level of more than 100 mg/dl and those with two or more calls. CONCLUSIONS: We found that the use of an automated voice messaging system to promote adherence to ACEIs/ARBs and statins may be cost-effective, depending on a decision maker's willingness to pay for unit increase in adherence. When considering changes in LDL level and downstream medical care offsets, UC is the optimal strategy for the general population. However, IVR-based interventions may be the optimal choice for those with elevated LDL values at baseline.

A Meta-analysis of the Association of Estimated GFR, Albuminuria, Age, Race, and Sex With Acute Kidney Injury.

BACKGROUND: Acute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white). STUDY DESIGN: Collaborative meta-analysis. SETTING & POPULATION: 8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants). SELECTION CRITERIA FOR STUDIES: Available eGFR, ACR, and 50 or more AKI events. PREDICTORS: Age, sex, race, eGFR, urine ACR, and interactions. OUTCOME: Hospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results. RESULTS: 16,480 (1.3%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6%) CKD participants had AKI over a mean follow-up of 1 year. Lower eGFR and higher ACR were strongly associated with AKI. Compared with eGFR of 80mL/min/1.73m(2), the adjusted HR of AKI at eGFR of 45mL/min/1.73m(2) was 3.35 (95% CI, 2.75-4.07). Compared with ACR of 5mg/g, the risk of AKI at ACR of 300mg/g was 2.73 (95% CI, 2.18-3.43). Older age was associated with higher risk of AKI, but this effect was attenuated with lower eGFR or higher ACR. Male sex was associated with higher risk of AKI, with a slight attenuation in lower eGFR but not in higher ACR. African Americans had higher AKI risk at higher levels of eGFR and most levels of ACR. LIMITATIONS: Only 2 general-population cohorts could contribute to analyses by race; AKI identified by diagnostic code. CONCLUSIONS: Reduced eGFR and increased ACR are consistent strong risk factors for AKI, whereas associations of AKI with age, sex, and race may be weaker in more advanced stages of CKD.

The prevalence and trends of antiviral medication use during pregnancy in the US: a population-based study of 664,297 deliveries in 2001-2007.

To evaluate the prevalence, trends, timing and duration of exposure to antiviral medications during pregnancy within a US cohort of pregnant women and to evaluate the proportion of deliveries with a viral infection diagnosis among women given antiviral medication during pregnancy. Live-born deliveries between 2001 and 2007, to women aged 15-45 years, were included from the Medication Exposure in Pregnancy Risk Evaluation Program, a collaborative research program between the U.S. Food and Drug Administration and eleven health plans. They were evaluated for prevalence, timing, duration, and temporal trends of exposure to antiviral medications during pregnancy. We also calculated the proportion of deliveries with a viral infection diagnosis among those exposed to antiviral medications. Among 664,297 live births, the overall prevalence of antiviral exposure during pregnancy was 4 % (n = 25,155). Between 2001 and 2007, antiviral medication exposure during pregnancy doubled from 2.5 to 5 %. The most commonly used antiviral medication was acyclovir, with 3 % of the deliveries being exposed and most of the exposure occurring after the 1st trimester. Most deliveries exposed to antiviral medications were exposed for less than 30 days (2 % of all live births). Forty percent of the women delivering an infant exposed to antiviral medications had a herpes diagnosis. Our findings highlight the increased prevalence of women delivering an infant exposed to antiviral medications over time. These findings support the need for large, well-designed studies to assess the safety and effectiveness of these medications during pregnancy.

Variation in antibiotic susceptibility of uropathogens by age among ambulatory pediatric patients.

We compared uropathogen antibiotic susceptibility across age groups of ambulatory pediatric patients. For Escherichia coli (n=5,099) and other Gram-negative rods (n=626), significant differences (p<0.05) existed across age groups for ampicillin, cefazolin, and trimethoprim/sulfamethoxazole susceptibility. In E. coli, differences in trimethoprim/sulfamethoxazole susceptibility varied from 79% in children under 2 to 88% in ages 16-18 (p<0.001), while ampicillin susceptibility varied from 30% in children under 2 to 53% in ages 2-5 (p=0.015). Uropathogen susceptibility to common urinary anti-infectives may be lower in the youngest children. Further investigation into these differences is needed to facilitate appropriate and prudent treatment of urinary tract infections.

Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes.

PURPOSE: Research on medication safety in pregnancy often utilizes health plan and birth certificate records. This study discusses methods used to link mothers with infants, a crucial step in such research. METHODS: We describe how eight sites participating in the Medication Exposure in Pregnancy Risk Evaluation Program created linkages between deliveries, infants and birth certificates for the 2001-2007 birth cohorts. We describe linkage rates across sites, and for two sites, we compare the characteristics of populations linked using different methods. RESULTS: Of 299,260 deliveries, 256,563 (86%; range by site, 74-99%) could be linked to infants using a deterministic algorithm. At two sites, using birth certificate data to augment mother-infant linkage increased the representation of mothers who were Hispanic or non-White, younger, Medicaid recipients, or had low educational level. A total of 236,460 (92%; range by site, 82-100%) deliveries could be linked to a birth certificate. CONCLUSIONS: Tailored approaches enabled linking most deliveries to infants and to birth certificates, even when data systems differed. The methods used may affect the composition of the population identified. Linkages established with such methods can support sound pharmacoepidemiology studies of maternal drug exposure outside the context of a formal registry.

Validity of health plan and birth certificate data for pregnancy research.

PURPOSE: To evaluate the validity of health plan and birth certificate data for pregnancy research. METHODS: A retrospective study was conducted using administrative and claims data from 11 U.S. health plans and corresponding birth certificate data from state health departments. Diagnoses, drug dispensings, and procedure codes were used to identify infant outcomes (cardiac defects, anencephaly, preterm birth, and neonatal intensive care unit [NICU] admission) and maternal diagnoses (asthma and systemic lupus erythematosus [SLE]) recorded in the health plan data for live born deliveries between January 2001 and December 2007. A random sample of medical charts (n = 802) was abstracted for infants and mothers identified with the specified outcomes. Information on newborn, maternal, and paternal characteristics (gestational age at birth, birth weight, previous pregnancies and live births, race/ethnicity) was also abstracted and compared to birth certificate data. Positive predictive values (PPVs) were calculated with documentation in the medical chart serving as the gold standard. RESULTS: PPVs were 71% for cardiac defects, 37% for anencephaly, 87% for preterm birth, and 92% for NICU admission. PPVs for algorithms to identify maternal diagnoses of asthma and SLE were ≥ 93%. Our findings indicated considerable agreement (PPVs > 90%) between birth certificate and medical record data for measures related to birth weight, gestational age, prior obstetrical history, and race/ethnicity. CONCLUSIONS: Health plan and birth certificate data can be useful to accurately identify some infant outcomes, maternal diagnoses, and newborn, maternal, and paternal characteristics. Other outcomes and variables may require medical record review for validation.

Validation of an algorithm to estimate gestational age in electronic health plan databases.

PURPOSE: To validate an algorithm that uses delivery date and diagnosis codes to define gestational age at birth in electronic health plan databases. METHODS: Using data from 225,384 live born deliveries to women aged 15-45 years in 2001-2007 within eight of the 11 health plans participating in the Medication Exposure in Pregnancy Risk Evaluation Program, we compared (1) the algorithm-derived gestational age versus the "gold-standard" gestational age obtained from the infant birth certificate file and (2) the prenatal exposure status of two antidepressants (fluoxetine and sertraline) and two antibiotics (amoxicillin and azithromycin) as determined by the algorithm-derived versus the gold-standard gestational age. RESULTS: The mean algorithm-derived gestational age at birth was lower than the mean obtained from the birth certificate file among singleton deliveries (267.9 vs 273.5 days) but not among multiple-gestation deliveries (253.9 vs 252.6 days). The algorithm-derived prenatal exposure to the antidepressants had a sensitivity and a positive predictive value of ≥95%, and a specificity and a negative predictive value of almost 100%. Sensitivity and positive predictive value were both ≥90%, and specificity and negative predictive value were both >99% for the antibiotics. CONCLUSIONS: A gestational age algorithm based upon electronic health plan data correctly classified medication exposure status in most live born deliveries, but trimester-specific misclassification may be higher for drugs typically used for short durations.

Prevalence and trends in the use of antipsychotic medications during pregnancy in the U.S., 2001-2007: a population-based study of 585,615 deliveries.

This study aims to estimate the prevalence of and temporal trends in prenatal antipsychotic medication use within a cohort of pregnant women in the U.S. We identified live born deliveries to women aged 15-45 years in 2001-2007 from 11 U.S. health plans participating in the Medication Exposure in Pregnancy Risk Evaluation Program. We ascertained prenatal exposure to antipsychotics from health plan pharmacy dispensing files, gestational age from linked infant birth certificate files, and ICD-9-CM diagnosis codes from health plan claims files. We calculated the prevalence of prenatal use of atypical and typical antipsychotics according to year of delivery, trimester of pregnancy, and mental health diagnosis. Among 585,615 qualifying deliveries, 4,223 (0.72%) were to women who received an atypical antipsychotic and 548 (0.09%) were to women receiving a typical antipsychotic any time from 60 days before pregnancy through delivery. There was a 2.5-fold increase in atypical antipsychotic use during the study period, from 0.33% (95% confidence interval: 0.29%, 0.37%) in 2001 to 0.82% (0.76%, 0.88%) in 2007, while the use of typical antipsychotics remained stable. Depression was the most common mental health diagnosis among deliveries to women with atypical antipsychotic use (63%), followed by bipolar disorder (43%) and schizophrenia (13%). The number and proportion of pregnancies exposed to atypical antipsychotics has increased dramatically in recent years. Studies are needed to examine the comparative safety and effectiveness of these medications relative to other therapeutic options in pregnancy.