Increased Lifetime Risk of Intestinal Complications and Extraintestinal Manifestations in Crohn's Disease and Ulcerative Colitis.

Patients with Crohn's disease (CD) or ulcerative colitis (UC) have high morbidity rates owing to debilitating intestinal complications and extraintestinal manifestations (EIMs). We retrospectively identified patients in the Truven MarketScan databases with an incident CD or UC diagnosis from January 2008 to September 2015 to quantify the incremental lifetime risk of experiencing an intestinal complication or EIM after CD or UC diagnosis. Seven intestinal complications and 13 categories of EIMs by site were identified, and lifetime risk of experiencing an intestinal complication or EIM from age at CD or UC diagnosis to end of life was estimated using parametric models. Results were compared with controls' propensity score matched by age, sex, health plan, and pre-index Charlson Comorbidity Index. The CD or UC incremental risk was calculated using the difference in rates between CD or UC patients and matched controls. A total of 34,692 CD patients and 48,196 UC patients with 1:1 matched controls were included. CD and UC patients had an increased lifetime risk of intestinal complications, which varied across ages, inflammatory bowel disease (IBD) types, and categories of intestinal complications and EIMs. CD and UC patients aged 0 to 11 years had the highest incremental lifetime risk for all 7 intestinal complications and the majority of EIMs, with blood EIMs associated with the highest incremental risk (CD: 32%; UC: 21%). CD and UC patients of all ages have a higher lifetime risk of experiencing intestinal complications and EIMs than patients without CD or UC. When evaluating the burden of disease on patients with IBD, it is important to include the burden of these intestinal complications and EIMs in the assessment.

Lifetime Economic Burden of Crohn's Disease and Ulcerative Colitis by Age at Diagnosis.

BACKGROUND & AIMS: Understanding the burden of Crohn's disease (CD) and ulcerative colitis (UC) is important for measuring treatment value. We estimated lifetime health care costs incurred by patients with CD or UC by age at diagnosis. METHODS: We collected data from 78,620 patients with CD, 85,755 with UC, and propensity score-matched control subjects from the Truven Health MarketScan insurance claims databases (2008‒2015). Total medical (inpatient, outpatient) and pharmacy costs were captured. Cost variations over a lifetime were estimated in cost-state Markov models by age at diagnosis, adjusted to 2016 U.S. dollars and discounted at 3% per annum. We measured lifetime total and lifetime incremental cost (the difference between costs of CD or UC patients vs matched controls). RESULTS: For CD, the lifetime incremental cost was $707,711 among patients who received their diagnosis at 0‒11 years, and $177,614 for patients 70 years or older, averaging $416,352 for a diagnosis at any age. Lifetime total cost was $622,056, consisting of outpatient ($273,056), inpatient ($164,298), pharmacy ($163,722), and emergency room (ER) ($20,979) costs. For UC, the lifetime incremental cost was $369,955 among patients who received their diagnosis at 0‒11 years, and $132,396 for individuals 70 years or older, averaging $230,102 for a diagnosis at any age. Lifetime total cost was $405,496, consisting of outpatient ($163,670), inpatient ($123,190), pharmacy ($105,142), and ER ($13,493) costs. Therefore, the prevalent populations of patients with CD or UC in the United States in 2016 are expected to incur lifetime total costs of $498 billion and $377 billion, respectively. CONCLUSIONS: Using a Markov model, we estimated lifetime costs for patients with CD or UC to exceed previously published estimates. Individuals who receive a diagnosis of CD or UC at an early age (younger than 11 years) incur the highest lifetime cost burden. Advancing management strategies may significantly improve patient outcomes and reduce lifetime health care spending.

The economic burden of switching targeted disease-modifying anti-rheumatic drugs among rheumatoid arthritis patients.

AIMS: To estimate real world healthcare costs and resource utilization of rheumatoid arthritis (RA) patients associated with targeted disease modifying anti-rheumatic drugs (tDMARD) switching in general and switching to abatacept specifically. MATERIALS AND METHODS: RA patients initiating a tDMARD were identified in IMS PharMetrics Plus health insurance claims data (2010-2016), and outcomes measured included monthly healthcare costs per patient (all-cause, RA-related) and resource utilization (inpatient stays, outpatient visits, emergency department [ED] visits). Generalized linear models were used to assess (i) average monthly costs per patient associated with tDMARD switching, and (ii) among switchers only, costs of switching to abatacept vs tumor necrosis factor inhibitors (TNFi) or other non-TNFi. Negative binomial regressions were used to determine incident rate ratios of resource utilization associated with switching to abatacept. RESULTS: Among 11,856 RA patients who initiated a tDMARD, 2,708 switched tDMARDs once and 814 switched twice (to a third tDMARD). Adjusted average monthly costs were higher among patients who switched to a second tDMARD vs non-switchers (all-cause: $4,785 vs $3,491, p < .001; RA-related: $3,364 vs $2,297, p < .001). Monthly RA-related costs were higher for patients switching to a third tDMARD compared to non-switchers remaining on their second tDMARD ($3,835 vs $3,383, p < .001). Switchers to abatacept had significantly lower RA-related monthly costs vs switchers to TNFi ($3,129 vs $3,436, p = .021), and numerically lower all-cause costs ($4,444 vs $4,741, p = 0.188). Switchers to TNFi relative to abatacept had more frequent inpatient stays after switch (incidence rate ratio (IRR) = 1.85, p = .031), and numerically higher ED visits (IRR = 1.32, p = .093). Outpatient visits were less frequent for TNFi switchers (IRR = 0.83, p < .001) compared to switchers to abatacept. LIMITATIONS AND CONCLUSIONS: Switching to another tDMARD was associated with higher healthcare costs. Switching to abatacept, however, was associated with lower RA-related costs, fewer inpatient stays, but more frequent outpatient visits compared to switching to a TNFi.

Cost variation and savings opportunities in the Oncology Care Model.

OBJECTIVES: This study seeks to identify service categories that present the greatest opportunities to reduce spending in oncology care episodes, as defined by the CMS Oncology Care Model (OCM). Regional variation in spending for similar patients is often interpreted as evidence that resources can be saved, because higher-spending regions could achieve savings by behaving more like their lower-spending counterparts. STUDY DESIGN: We used Surveillance, Epidemiology, and End Results Medicare data from 2006-2013 for this retrospective observational cohort study. Analysis focused on patients with non-small cell lung cancer, advanced (stage III or IV) breast cancer, renal cell carcinoma, multiple myeloma, or chronic myeloid leukemia. METHODS: Episodes were identified for patients with the 5 included cancers, following the episode definition used in the OCM. We estimated standardized episode-level spending for a standard patient across subcategories of care for each hospital referral region (HRR) defined by the Dartmouth Atlas. The contribution of each subcategory to interregional variation in total spending reflects that subcategory's potential to yield savings. RESULTS: Chemotherapy and acute inpatient hospital care tended to be the highest contributors to interregional variation. Imaging, nonchemotherapy Part B drugs, physician evaluation and management services, and diagnostics were negligible contributors to interregional variation for all 5 cancers. CONCLUSIONS: Chemotherapy and inpatient hospital care offer the most potential to reduce spending within OCM-defined episodes. Other sources of savings differ by type of cancer. Assuming patient outcomes are not compromised, low-spending HRRs may be models for lowering cost in cancer care.

Share of Oncology Versus Nononcology Spending in Episodes Defined by the Centers for Medicare & Medicaid Services Oncology Care Model.

PURPOSE: Performance-based payments to oncology providers participating in the Centers for Medicare & Medicaid Services (CMS) Oncology Care Model (OCM) are based, in part, on overall spending in 6-month episodes of care, including spending unrelated to oncology care. The amount of spending likely to occur outside of oncologists' purview is unknown. METHODS: Following the OCM definition of an episode, we used SEER-Medicare data from 2006 to 2013 to identify episodes of cancer care for the following diagnoses: breast cancer (BC), non-small-cell lung cancer, renal cell carcinoma, multiple myeloma (MM), and chronic myeloid leukemia. Claims were categorized by service type and, separately, whether the content fell within the purview of oncology providers (classified as oncology, with all other claims nononcology). We calculated the shares of episode spending attributable to oncology versus nononcology services. RESULTS: The percentage of oncology spending within OCM episodes ranged from 62.4% in BC to 85.5% in MM. The largest source of oncology spending was antineoplastic drug therapy, ranging from 21.8% of total episode spending in BC to 67.6% in chronic myeloid leukemia. The largest source of nononcology spending was acute hospitalization and inpatient physician costs, ranging from 6.6% of overall spending for MM to 10.4% for non-small-cell lung cancer; inpatient oncology spending contributed roughly similar shares to overall spending. CONCLUSION: Most spending in OCM-defined episodes was attributable to services related to cancer care, especially antineoplastic drug therapy. Inability to control nononcology spending may present challenges for practices participating in the OCM, however.

Greater Spending Associated with Improved Survival for Some Cancers in OCM-Defined Episodes.

BACKGROUND: Previous research finds significant variation in spending and utilization across regions, with little evidence of differences in outcomes. While such findings have been interpreted as evidence that spending can be reduced without compromising patient outcomes, the link between spending variation and outcomes remains a critical question. OBJECTIVE: To use evidence from geographic variations in spending and an individual-level survival analysis to test whether spending within oncology care episodes is associated with survival, where episodes are defined as in the Center for Medicare and Medicaid Innovation's Oncology Care Model (OCM). METHODS: In this retrospective cohort analysis, patient data from the Surveillance, Epidemiology and End Results Medicare (SEER-Medicare) database for 2007-2013 were linked to hospital referral regions (HRRs) using ZIP codes. Patients in the SEER program are a part of selected population-based cancer registries throughout the United States whose records are linked to Medicare enrollment and claims data (93% of elderly registry patients were successfully linked to Medicare data). Episodes of cancer care were defined as in the OCM: 6 months following a triggering chemotherapy claim. We analyzed episodes of care for 5 tumor types: advanced breast cancer (BC), non-small cell lung cancer (NSCLC), renal cell carcinoma (RCC), multiple myeloma (MM), and chronic myeloid leukemia (CML). We removed the effects of differentials in Medicare payment rates, which were mostly geographic. Regression analysis was then used to calculate standardized spending levels for each HRR, that is, spending adjusted for differences in patient and episode characteristics. To examine the effect of spending during OCM-defined episodes on individual-level survival, we used Cox regression with patient characteristics and standardized HRR spending per episode as covariates. To address concerns that may arise from multiple comparisons across the 5 tumor types, we used the Benjamini-Hochberg procedure to control the false discovery rate. RESULTS: Our analysis showed significant differences in standardized spending across HRRs. Compared with spending at the 20th percentile episode, spending at the 80th percentile ranged from 25% higher ($57,392 vs. $45,995 for MM) to 47% higher ($36,920 vs. $24,127 for RCC), indicating practice style variation across regions. The hazard of dying for patients with NSCLC and MM statistically significantly decreased by 7% (HR = 0.93, P = 0.006) and 13% (HR = 0.87, P = 0.019), respectively, for a $10,000 increase in standardized spending (in 2013 U.S. dollars). For the 3 other cancers, spending effects were not statistically significant. After using the Benjamini-Hochberg procedure with a 5% false discovery rate, the effects of increased spending on improved survival for NSCLC and MM remained statistically significant. CONCLUSIONS: The association we found between spending and survival suggests caution may be warranted for physicians, pharmacists, other health care professionals, and policymakers involved in efforts to reduce across-the-board spending within OCM-defined episodes for at least 2 of the 5 cancers studied. DISCLOSURES: Funding for this research was provided by Novartis Pharmaceuticals to Precision Health Economics in support of research design, analysis, and technical writing services. The funder provided input on study design and comments on the draft report. Baumgardner, Shahabi, and Linthicum are employees of Precision Health Economics (PHE), a health care consultancy to the insurance and life science industries, including firms that market oncology therapies. Vine was an employee of PHE at the time of this research. Zacker is an employee of and shareholder in Novartis Pharmaceuticals. Lakdawalla is a consultant to PHE and holds equity in its parent company, Precision Medicine Group.

Assessing Variation in the Cost of Palivizumab for Respiratory Syncytial Virus Prevention in Preterm Infants.

BACKGROUND: The variability in cost of palivizumab treatment, indicated for prevention of respiratory syncytial virus (RSV) infections in high-risk infants, has not been robustly estimated in prior studies. This study aimed to determine the cost variations of palivizumab from a US payer perspective for otherwise healthy preterm infants born 29-35 weeks gestational age (wGA) using infant characteristics and applied dosing regimens. METHODS: Fenton Growth Charts were merged with World Health Organization Child Growth Standards to estimate preterm infant growth patterns. The merged growth chart was applied to infants who received palivizumab from a prospective, observational registry to determine future body weight using each infant's wGA and birth weight. Using quarter 3 (Q3) 2016-Q2 2017 vial cost, treatment costs at monthly dosing intervals were estimated using expected weights and averaged by age to derive expected mean 2016-2017 RSV seasonal costs per infant under various dosing scenarios. RESULTS: Given different dosing scenarios (two to five doses), birth month, and growth patterns for preterm infants 29-35 wGA, the estimated average 2016-2017 seasonal cost of palivizumab treatment ranged from $3221 to $12,568. Outpatient-only cost (excluding first dose at hospital discharge) ranged from $1733 to $11,862. The main drivers of costs were dosing regimen (74% of variance), dosing interacted with birth month (17%), and wGA (6%). CONCLUSION: The considerable variability in the average cost of palivizumab treatment for preterm infants is driven by choice of dosing regimen, wGA, and birth month. Therefore, when estimating the cost of palivizumab, it is important to consider both infant characteristics at each dose and potential dosing regimens.

Novel Gene Expression Signature Predictive of Clinical Recurrence After Radical Prostatectomy in Early Stage Prostate Cancer Patients.

BACKGROUND: Current clinical tools have limited accuracy in differentiating patients with localized prostate cancer who are at risk of recurrence from patients with indolent disease. We aimed to identify a gene expression signature that jointly with clinical variables could improve upon the prediction of clinical recurrence after RP for patients with stage T2 PCa. METHODS: The study population includes consented patients who underwent a radical retropubic prostatectomy (RP) and bilateral pelvic lymph node dissection at the University of Southern California in the PSA-era (1988-2008). We used a nested case-control study of 187 organ-confined patients (pT2N0M0): 154 with no recurrence ("controls") and 33 with clinical recurrence ("cases"). RNA was obtained from laser capture microdissected malignant glands representative of the overall Gleason score of each patient. Whole genome gene expression profiles (29,000 transcripts) were obtained using the Whole Genome DASL HT platform (Illumina, Inc). A gene expression signature of PCa clinical recurrence was identified using stability selection with elastic net regularized logistic regression. Three existing datasets generated with the Affymetrix Human Exon 1.0ST array were used for validation: Mayo Clinic (MC, n = 545), Memorial Sloan Kettering Cancer Center (SKCC, n = 150), and Erasmus Medical Center (EMC, n = 48). The areas under the ROC curve (AUCs) were obtained using repeated fivefold cross-validation. RESULTS: A 28-gene expression signature was identified that jointly with key clinical variables (age, Gleason score, pre-operative PSA level, and operation year) was predictive of clinical recurrence (AUC of clinical variables only was 0.67, AUC of clinical variables, and 28-gene signature was 0.99). The AUC of this gene signature fitted in each of the external datasets jointly with clinical variables was 0.75 (0.72-0.77) (MC), 0.90 (0.86-0.94) (MSKCC), and 0.82 (0.74-0.91) (EMC), whereas the AUC for clinical variables only in each dataset was 0.72 (0.70-0.74), 0.86 (0.82-0.91), and 0.76 (0.67-0.85), respectively. CONCLUSIONS: We report a novel gene-expression based classifier identified using agnostic approaches from whole genome expression profiles that can improve upon the accuracy of clinical indicators to stratify early stage localized patients at risk of clinical recurrence after RP. Prostate 76:1239-1256, 2016. © 2016 Wiley Periodicals, Inc.

Predictors of time to biochemical recurrence in a radical prostatectomy cohort within the PSA-era.

INTRODUCTION: We sought to determine predictors for early and late biochemical recurrence following radical prostatectomy among localized prostate cancer patients. METHODS: The study included localized prostate cancer patients treated with radical prostatectomy (RP) at the University of Southern California from 1988 to 2008. Competing risks regression models were used to determine risk factors associated with earlier or late biochemical recurrence, defined using the median time to biochemical recurrence in this population (2.9 years after radical prostatectomy). RESULTS: The cohort for this study included 2262 localized prostate cancer (pT2-3N0M0) patients who did not receive neoadjuvant or adjuvant therapies. Of these patients, 188 experienced biochemical recurrence and a subset continued to clinical recurrence, either within (n=19, 10%) or following (n=13, 7%) 2.9 years after RP. Multivariable stepwise competing risks analysis showed Gleason score ≥7, positive surgical margin status, and ≥pT3a stage to be associated with biochemical recurrence within 2.9 years following surgery. Predictors of biochemical recurrence after 2.9 years were Gleason score 7 (4+3), preoperative prostate-specific antigen (PSA) level, and ≥pT3a stage. CONCLUSIONS: Higher stage was associated with biochemical recurrence at any time following radical prostatectomy. Particular attention may need to be made to patients with stage ≥pT3a, higher preoperative PSA, and Gleason 7 prostate cancer with primary high-grade patterns when considering longer followup after RP.

Analysis of risk factors associated with microvascular free flap failure using a multi-institutional database.

BACKGROUND: There are numerous factors that may contribute to microvascular free flap failure. Although technical issues are dominant factors, patient and clinical characteristics are also contributory. The aim of this study was to investigate non-technical variables associated with microsurgical free flap failure using a multi-institutional dataset. METHODS: Utilizing the American College of Surgeons' National Surgical Quality Improvement Program (NSQIP) database, we identified all patients who underwent microvascular free tissue transfer from 2005 through 2009. Univariate analysis was performed to determine the association of flap failure with the following factors: age, gender, ethnicity, body mass index, intraoperative transfusion, diabetes, smoking, alcohol, American Society of Anesthesiologists classification, year of operation, operative time, number of flaps, and type of reconstruction. Factors with a significance of P < 0.2 in the univariate analysis were included in the multivariate logistic regression model to identify independent risk factors. RESULTS: A total of 639 patients underwent microsurgical free flap reconstruction with 778 flaps over the 4-year study period; 139 patients had two free flaps during the same operation. The overall incidence of flap failure was 4.4% (34/778) (95% confidence interval [CI]: 3.0%, 6.2%). Operative time was identified as an independent risk factor for free flap failure. After adjusting for other factors, those whose operative time was equal to or greater than the 75th percentile (625.5 min) were twice as likely to experience flap failure (AOR 2.09; 95% CI: 1.01-4.31; P = 0.045). None of the other risk factors studied were significant contributors. CONCLUSIONS: In this series, the overall flap loss rate of was 4.4%. Operative time was a significant independent risk factor for flap failure.

Tobacco smoking, polymorphisms in carcinogen metabolism enzyme genes, and risk of localized and advanced prostate cancer: results from the California Collaborative Prostate Cancer Study.

The relationship between tobacco smoking and prostate cancer (PCa) remains inconclusive. This study examined the association between tobacco smoking and PCa risk taking into account polymorphisms in carcinogen metabolism enzyme genes as possible effect modifiers (9 polymorphisms and 1 predicted phenotype from metabolism enzyme genes). The study included cases (n = 761 localized; n = 1199 advanced) and controls (n = 1139) from the multiethnic California Collaborative Case-Control Study of Prostate Cancer. Multivariable conditional logistic regression was performed to evaluate the association between tobacco smoking variables and risk of localized and advanced PCa risk. Being a former smoker, regardless of time of quit smoking, was associated with an increased risk of localized PCa (odds ratio [OR] = 1.3; 95% confidence interval [CI] = 1.0-1.6). Among non-Hispanic Whites, ever smoking was associated with an increased risk of localized PCa (OR = 1.5; 95% CI = 1.1-2.1), whereas current smoking was associated with risk of advanced PCa (OR = 1.4; 95% CI = 1.0-1.9). However, no associations were observed between smoking intensity, duration or pack-year variables, and advanced PCa. No statistically significant trends were seen among Hispanics or African-Americans. The relationship between smoking status and PCa risk was modified by the CYP1A2 rs7662551 polymorphism (P-interaction = 0.008). In conclusion, tobacco smoking was associated with risk of PCa, primarily localized disease among non-Hispanic Whites. This association was modified by a genetic variant in CYP1A2, thus supporting a role for tobacco carcinogens in PCa risk.

Incidence of surgical-site infection is not affected by method of immediate breast reconstruction.

BACKGROUND: To date, few large-scale studies have reported the incidence of surgical-site infection in women undergoing mastectomy with respect to the various methods of immediate breast reconstruction. This study assessed whether the reconstruction method was associated with the risk of surgical-site infection in these patients. METHODS: Using the National Surgical Quality Improvement Program database, 9230 female patients undergoing mastectomy with immediate reconstruction from 2005 to 2009 were identified. Reconstruction was classified as autologous, prosthetic, or hybrid. The primary outcome was the incidence of surgical-site infection within 30 days of operation. Univariate and multivariate analyses were performed to derive the unadjusted and adjusted risk of surgical-site infection according to reconstruction method. RESULTS: The overall rate of surgical-site infection was 3.53 percent (95 percent CI, 3.15 to 3.94 percent), with individual rates of 3.33 percent (95 percent CI, 2.93 to 3.76 percent) for prosthetic reconstruction, 4.88 percent (95 percent CI, 3.48 to 6.11 percent) for autologous reconstruction, and 2.19 percent (95 percent CI, 0.88 to 4.45 percent) for hybrid reconstruction. The adjusted odds ratio of surgical-site infection was 1.14 (95 percent CI, 0.83 to 1.58; p = 0.42) for autologous versus prosthetic methods and 0.59 (95 percent CI, 0.27 to 1.27; p = 0.18) for hybrid versus prosthetic methods. CONCLUSIONS: Although the risk of surgical-site infection in patients undergoing immediate reconstruction is highest with autologous and lowest with hybrid methods of reconstruction, the difference in infection risk was not statistically significant after adjustment for confounding factors. Thus, all methods of reconstruction are viable options with regard to risk for surgical-site infection. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.

Genetic admixture and risk of hypertensive disorders of pregnancy among Latinas in Los Angeles County.

BACKGROUND: Latinos are a heterogeneous population in terms of demographics, culture, and genetic admixture from three racial groups (white, African, and Native American). This study examines the role of genetic ancestry and environmental risk factors in the risk of hypertensive disorder of pregnancy among Latinas in Los Angeles County. METHODS: Gestational hypertension, preeclampsia, eclampsia, or hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome cases (n = 125), plus unaffected controls (n = 161), were recruited from Los Angeles County + University of Southern California Women's and Children's Hospital from 1999 through 2008. Diagnoses were confirmed with extensive chart review. Personal information, demographics, and biospecimens were collected from all participants. Ancestry informative markers were used to estimate genetic ancestry proportions. RESULTS: After adjusting for European ancestry and key risk factors, African ancestry was positively associated with hypertensive disorders of pregnancy risk for the highest vs. the lowest quartiles of African ancestry (odds ratio = 2.6 [95% confidence interval = 1.1-6.1]). This association was stronger among women born in Mexico with parents born in Mexico (4.3 [1.4-13]). The results from generalized additive models showed a positive association between joint European/African ancestry and hypertensive disorders of pregnancy risk and an inverse association between Native American ancestry and risk. These associations were stronger among women of Mexican origin. CONCLUSION: Our findings suggest that higher Native American ancestry among Latinas may protect against hypertensive disorders of pregnancy. Further studies are needed to determine whether this protective effect is driven by specific alleles present in this population or by other risk factors that correlate with Native American ancestry.

Effect of immediate reconstruction on postmastectomy surgical site infection.

INTRODUCTION: Surgical site infections (SSI) are a source of significant postoperative morbidity and cost. Although immediate breast reconstruction after mastectomy has become routine, the data regarding the incidence of SSI in immediate breast reconstruction is highly variable and series dependent. METHODS: Using the National Surgical Quality Improvement Program database, all female patients undergoing mastectomy, with or without immediate reconstruction, from 2005 to 2009 were identified. Only "clean" procedures were included. The primary outcome was incidence of SSI within 30 days of operation. Stepwise logistic regression analysis was used to identify risk factors associated with SSI. RESULTS: A total of 48,393 mastectomies were performed during the study period, of which 9315 (19.2%) had immediate breast reconstruction. The incidence of SSI was 3.5% (330/9315) (95% CI [confidence interval]: 3.2%-4%) in patients undergoing mastectomy with reconstruction and 2.5% (966/39,078) (95% CI: 2.3%-2.6%) in patients undergoing mastectomy without reconstruction (P < 0.001). Independent risk factors for SSI include increased preoperative body mass index (BMI), heavy alcohol use, ASA (American Society of Anesthesiologists) score greater than 2, flap failure, and operative time of 6 hours or longer. CONCLUSIONS: Immediate breast reconstruction is associated with a statistically significant increase in risk of SSI in patients undergoing mastectomy (3.5% vs 2.5%). However, this difference was not considered to be clinically significant. In this large series, increased BMI, alcohol use, ASA class greater than 2, flap failure, and prolonged operative time were associated with increased risk of SSI.

A systematic review and meta-analysis of complications associated with acellular dermal matrix-assisted breast reconstruction.

BACKGROUND: Multiple outcome studies have been published on the use of acellular dermal matrix (ADM) in breast reconstruction with disparate results. The purpose of this study was to conduct a systematic review and meta-analysis to determine an aggregate estimate of risks associated with ADM-assisted breast reconstruction. METHODS: The MEDLINE, Web of Science, and Cochrane Library databases were queried, and relevant articles published up to September 2010 were analyzed based on specific inclusion criteria. Seven complications were studied including seroma, cellulitis, infection, hematoma, skin flap necrosis, capsular contracture, and reconstructive failure. A pooled random effects estimate for each complication and 95% confidence intervals (CI) were derived. For comparisons of ADM and non-ADM, the pooled random effects odds ratio (OR) and 95% CI were derived. Heterogeneity was measured using the I2 statistic. RESULTS: Sixteen studies met the inclusion criteria. The pooled complication rates were seroma (6.9%; 95% CI, 5.3%-8.8%), cellulitis (2.0%; 95% CI, 1.2%-3.1%), infection (5.7%; 95% CI, 4.3%-7.3%), skin flap necrosis (10.9%; 95% CI, 8.7%-13.5%), hematoma (1.3%; 95% CI, 0.6%-2.4%), capsular contracture (0.6%; 95% CI, 0.1%-1.7%), and reconstructive failure (5.1%; 95% CI, 3.8%-6.7%). Five studies reported findings for both the ADM and non-ADM patients and were used in the meta-analysis to calculate pooled OR. ADM-assisted breast reconstructions had a higher likelihood of seroma (pooled OR, 3.9; 95% CI, 2.4-6.2), infection (pooled OR, 2.7; 95% CI, 1.1-6.4), and reconstructive failure (pooled OR, 3.0; 95% CI, 1.3-6.8) than breast reconstructions without the use of ADM. The relation of ADM use to hematoma (pooled OR, 2.0; 95% CI, 0.8-5.2), cellulitis (pooled OR, 2.0; 95% CI, 0.9-4.3), and skin flap necrosis (pooled OR, 1.9; 95% CI, 0.6-5.4) was inconclusive. CONCLUSIONS: In the studies evaluated, ADM-assisted breast reconstructions exhibited a higher likelihood of seroma, infection, and reconstructive failure than prosthetic-based breast reconstructions using traditional musculofascial flaps. ADM is associated with a lower rate of capsular contracture. A careful risk/benefit analysis should be performed when choosing to use ADM in implant-based breast reconstruction.

Recruitment and retention of African American and Latino preadolescent females into a longitudinal biobehavioral study.

OBJECTIVE: Addressing recruitment challenges faced by researchers when the intended participants are young individuals from minority communities is crucial to prevent increases in study costs, prolonged length of the study, and loss of generalizability that may occur due to the resulting higher attrition rates. This article focuses on understanding the differences in census-tract level income, education, and socioeconomic status of young Latina and African American female participants and non-participants during the first 26 months of recruitment (June 2006-August 2008) in a longitudinal biobehavioral study. DESIGN: The Transitions Study examines the psychological and physiological determinants influencing the decrease in physical activity during puberty among Latina and African American girls aged 8 to 11 years within the greater Los Angeles area. Recruitment and retention through five main steps in the process were examined: telephone contact, telephone screening, consent, clinical screening, and baseline overnight visit. RESULTS: As of August 2008, the recruitment pool consisted of 110 African Americans (17.8%) and 373 Latinas (60.4%); of these, only 40 Latinas and 11 African American girls completed the final step into the study. African Americans were less willing to provide their phone numbers, but more likely to be reached at initial phone contact than Latino families. CONCLUSIONS: Understanding the heterogeneity within minority populations, population characteristics, through careful and timely analyses, could be used to adjust recruitment and retention strategies in a study involving minority youth.