Clownfish larvae exhibit faster growth, higher metabolic rates and altered gene expression under future ocean warming.

Increasing ocean temperatures have been demonstrated to have a range of negative impacts on coral reef fishes. However, despite a wealth of studies of juvenile/adult reef fish, studies of how early developmental stages respond to ocean warming are limited. As overall population persistence is influenced by the development of early life stages, detailed studies of larval responses to ocean warming are essential. Here, in an aquaria-based study we investigate how temperatures associated with future warming and present-day marine heatwaves (+3 °C) impact the growth, metabolic rate, and transcriptome of 6 discrete developmental stages of clownfish larvae (Amphiprion ocellaris). A total of 6 clutches of larvae were assessed, with 897 larvae imaged, 262 larvae undergoing metabolic testing and 108 larvae subject to transcriptome sequencing. Our results show that larvae reared at +3 °C grow and develop significantly faster and exhibit higher metabolic rates than those in control conditions. Finally, we highlight the molecular mechanisms underpinning the response of larvae from different developmental stages to higher temperatures, with genes associated with metabolism, neurotransmission, heat stress and epigenetic reprogramming differentially expressed at +3 °C. Overall, these results indicate that clownfish development could be altered under future warming, with developmental rate, metabolic rate, and gene expression all affected. Such changes may lead to altered larval dispersal, changes in settlement time and increased energetic costs.

The chromosome-scale genome assembly of the yellowtail clownfish Amphiprion clarkii provides insights into the melanic pigmentation of anemonefish.

Anemonefish are an emerging group of model organisms for studying genetic, ecological, evolutionary, and developmental traits of coral reef fish. The yellowtail clownfish Amphiprion clarkii possesses species-specific characteristics such as inter-species co-habitation, high intra-species color variation, no anemone specificity, and a broad geographic distribution, that can increase our understanding of anemonefish evolutionary history, behavioral strategies, fish-anemone symbiosis, and color pattern evolution. Despite its position as an emerging model species, the genome of A. clarkii is yet to be published. Using PacBio long-read sequencing and Hi-C chromatin capture technology, we generated a high-quality chromosome-scale genome assembly initially comprised of 1,840 contigs with an N50 of 1,203,211 bp. These contigs were successfully anchored into 24 chromosomes of 843,582,782 bp and annotated with 25,050 protein-coding genes encompassing 97.0% of conserved actinopterygian genes, making the quality and completeness of this genome the highest among all published anemonefish genomes to date. Transcriptomic analysis identified tissue-specific gene expression patterns, with the brain and optic lobe having the largest number of expressed genes. Further analyses revealed higher copy numbers of erbb3b (a gene involved in melanocyte development) in A. clarkii compared with other anemonefish, thus suggesting a possible link between erbb3b and the natural melanism polymorphism observed in A. clarkii. The publication of this high-quality genome, along with A. clarkii's many unique traits, position this species as an ideal model organism for addressing scientific questions across a range of disciplines.

A chromosome-scale genome assembly of the false clownfish, Amphiprion ocellaris.

The false clownfish Amphiprion ocellaris is a popular fish species and an emerging model organism for studying the ecology, evolution, adaptation, and developmental biology of reef fishes. Despite this, high-quality genomic resources for this species are scarce, hindering advanced genomic analyses. Leveraging the power of PacBio long-read sequencing and Hi-C chromosome conformation capture techniques, we constructed a high-quality chromosome-scale genome assembly for the clownfish A. ocellaris. The initial genome assembly comprised of 1,551 contigs of 861.42 Mb, with an N50 of 863.85 kb. Hi-C scaffolding of the genome resulted in 24 chromosomes containing 856.61 Mb. The genome was annotated with 26,797 protein-coding genes and had 96.62% completeness of conserved actinopterygian genes, making this genome the most complete and high quality among published anemonefish genomes. Transcriptomic analysis identified tissue-specific gene expression patterns, with the brain and optic lobe having the largest number of expressed genes. Further, comparative genomic analysis revealed 91 genome elements conserved only in A. ocellaris and its sister species Amphiprion percula, and not in other anemonefish species. These elements are close to genes that are involved in various nervous system functions and exhibited distinct expression patterns in brain tissue, potentially highlighting the genetic toolkits involved in lineage-specific divergence and behaviors of the clownfish branch. Overall, our study provides the highest quality A. ocellaris genome assembly and annotation to date, whilst also providing a valuable resource for understanding the ecology and evolution of reef fishes.

Decreasing Resource Utilization without Compromising Care through Minimizing Preoperative Laboratories.

Approximately 18 billion dollars is spent annually on preoperative testing. The purpose of this study was to determine whether implementation of an algorithm aimed at minimizing preoperative tests resulted in decreased costs without compromising care. We performed a pre-post trial comparing January 2016 to April 2016 with May 2016 to July 2017. In May 2016, an algorithm was instituted in which laboratories were canceled based on an algorithm that incorporated patient and procedural factors. Total number of laboratories canceled before orthopedic, urologic, or general surgical procedures was documented. Case cancellations during this time were recorded. There were 22,175 laboratories during the study time frame. There was a significant decrease of 2.4 per cent in expected laboratories in the post-intervention group. There was an overall cost savings of $33,032.00. The per cent of patients who were seen in preoperative testing clinic and still needed medical optimization decreased after algorithm implementation (3.3% vs 2.1% P < 0.01). No cases were canceled because of lack of laboratory information. An algorithm for selective preoperative laboratory testing provides overall cost savings. Decreasing the number of unnecessary laboratories ordered reduced case cancellations. Instituting an algorithm for preoperative laboratory testing is cost-effective without compromising care.

Deconstructing dogma: Nonoperative management of small bowel obstruction in the virgin abdomen.

BACKGROUND: Management of small bowel obstruction (SBO) has become more conservative, especially in those patients with previous abdominal surgery (PAS). However, surgical dogma continues to recommend operative exploration for SBO with no PAS. With the increased use of computed tomography imaging resulting in more SBO diagnoses, it is important to reevaluate the role of mandatory operative exploration. Gastrografin (GG) administration decreases the need for operative exploration and may be an option for SBO without PAS. We hypothesized that the use of GG for SBO without PAS will be equally effective in reducing the operative exploration rate compared with that for SBO with PAS. METHODS: A post hoc analysis of prospectively collected data was conducted for patients with SBO from February 2015 through December 2016. Patients younger than 18 years, pregnant patients, and patients with evidence of hypotension, bowel strangulation, peritonitis, closed loop obstruction or pneumatosis intestinalis were excluded. The primary outcome was operative exploration rate for SBO with or without PAS. Rate adjustment was accomplished through multivariate logistic regression. RESULTS: Overall, 601 patients with SBO were included in the study, 500 with PAS and 101 patients without PAS. The two groups were similar except for age, sex, prior abdominal surgery including colon surgery, prior SBO admission, and history of cancer. Multivariate analysis showed that PAS (odds ratio [OR], 0.47; p = 0.03) and the use of GG (OR, 0.11; p < 0.01) were independent predictors of successful nonoperative management, whereas intensive care unit admission (OR, 16.0; p < 0.01) was associated with a higher likelihood of need for operation. The use of GG significantly decreased the need for operation in patients with and without PAS. CONCLUSIONS: Patients with and without PAS who received GG had lower rates of operative exploration for SBO compared with those who did not receive GG. Patients with a diagnosis of SBO without PAS should be considered for the nonoperative management approach using GG. LEVEL OF EVIDENCE: Therapeutic, level IV.

Incision Classification Accuracy: Do Residents Know How to Classify Them?

BACKGROUND: It is unclear whether surgical residents understand how to classify incisions, which may impact how closure is handled in the operating room. We hypothesized that surgical residents define incision class (IC) accurately compared with an attending NSQIP surgeon champion (SC). METHODS: We evaluated our NSQIP database from April 1, 2015, to December 31, 2016, including cases in which a resident was present and IC was documented. Cases in which the resident, circulator, or surgical clinical rater disagreed on the IC were then reviewed by a blinded SC. RESULTS: Residents were correct in 83.6% of the cases, with PGY 5 persons having the lowest accuracy. Class 3 incisions were most often misclassified (36%). A disproportionate number of misclassifications by PGY4 and PGY5-7 residents occurred in incision classes 2 and 3. Surgical site infections occurred in 7.4% of cases, ranging from 2.4% in IC 1 to 15.7% in IC 4 cases. CONCLUSIONS: Although overall accuracy appears reasonable, it is of concern that incisions at higher risk of infection (contaminated) were least likely to be classified appropriately. Chief residents, who often are making the decisions on incision closure, were the least accurate in determining IC. This may have a deleterious impact on incision management, suggesting a need for directed resident education on IC and further investigation to determine its impact on site infection risk and patient outcomes.

Does Isolation of Enterococcus Affect Outcomes in Intra-Abdominal Infections?

BACKGROUND: Enterococci are isolated frequently as pathogens in patients with intra-abdominal infections (IAIs) and may predict poor clinical outcomes. It remains controversial whether enterococci warrant an altered treatment approach with regard to antimicrobial treatment. PATIENTS AND METHODS: The study population was derived from the Study to Optimize Peritoneal Infection Therapy (STOP-IT) trial database. Through post hoc analysis subjects were stratified into two groups based on isolation of Enterococcus. Fifty subjects of the cohort (n = 518) had Enterococcus isolated. Uni-variable and multi-variable analyses were conducted to determine whether isolation of Enterococcus constituted an independent predictor of the pre-defined STOP-IT composite outcome (surgical site infection, recurrent IAI, or death) and the individual components of the composite outcome. RESULTS: From the cohort of 50 subjects, we identified 52 isolates of Enterococcus spp. with a predominance of Enterococcus faecalis (40%) followed by other Enterococcus spp. (37%) and Enterococcus faecium (17%). Baseline demographic characteristics were statistically similar between the two groups. Antibiotic utilization distribution remained balanced between the Enterococcus and no Enterococcus groups with the majority receiving piperacillin-tazobactam (62% and 54%, respectively). The groups had comparable infection characteristics including setting of acquisition (>50% community acquired) and origin of infection (predominantly colon or rectum). Individual and composite clinical outcomes were not different statistically between the Enterococcus and no Enterococcus groups: surgical site infection (10% vs. 7.5%; p = 0.53), recurrent IAI (20% vs. 14.1%; p = 0.26), death (2% vs. 1%; p = 0.40), and composite of all three (30% vs. 20.9%; p = 0.14], respectively. Multi-variable analysis revealed that isolation of Enterococcus did not predict independently the incidence of the composite outcome (odds ratio [OR] 1.53 [95% confidence interval {CI} = 0.78-3.01]; p = 0.22; c-statistic = 0.65; goodness of fit, p = 0.71). CONCLUSIONS: Enterococcus was not a more common pathogen in health-care-associated IAIs and was not an independent risk factor for the composite outcome. The isolation of Enterococcus from IAIs may not warrant an alternative treatment approach but larger studies are needed to validate these findings.

Age and Its Impact on Outcomes with Intra-Abdominal Infection.

BACKGROUND: Age has been shown to play a significant role in the etiology of complicated intra-abdominal infections (cIAIs), but the correlation between age and outcomes after therapy was not investigated in the Study to Optimize Peritoneal Infection Therapy (STOP-IT) trial. PATIENTS AND METHODS: Data were obtained by post hoc analysis of the STOP-IT trial database. Patients were stratified by age <65 or ≥65 years. Primary outcomes were surgical site infection (SSI), recurrent IAI (recIAI), and death. Multivariable analysis was performed to identify independent predictors of outcomes. RESULTS: There were 398 subjects <65 and 120 ≥ 65 years. Overall baseline characteristics of the two groups were similar. The site of infection was similar between groups except: Colon or rectum (48.3% vs. 29.9%, p = 0.0002) and biliary tree (16.7% vs. 9.1%, p = 0.02), which were more common in the older group, whereas small intestine (6.7% vs. 16.3%, p = 0.008) and appendix (4.2% vs.17.1%, p = 0.0004) were more common in the younger group. Among the primary outcomes, only death was significantly different between the age groups and was more prevalent in the ≥65 years group (4 [3.3%] vs. 1 [0.3%], p = 0.01). Surgical site infection (9.2% vs. 7.3%, p = 0.50), recIAI (15.8% vs. 14.4%, p = 0.69), and a composite outcome (26.7% vs. 20.4%, p = 0.14) were statistically similar between the age groups, and this remained true when controlling for other co-variables. Multivariable analyses did not reveal age as an independent predictor of the composite or individual outcomes. CONCLUSION: Patients with a more advanced age demonstrated variable sources of infection relative to the younger cohort, yet received similar treatments. Patient age was not an independent predictor of the undesired cIAI outcomes. These findings suggest that advanced age itself does not play a significant role in predicting these adverse outcomes for cIAIs and does not necessitate an altered treatment tactic.

Prophylactic Gentamicin Is Not Associated with Acute Kidney Injury in Patients with Open Fractures.

BACKGROUND: Data on antimicrobial prophylaxis for open fractures is limited, with many protocols based on expert recommendations. These protocols include aminoglycosides (AGs) for fractures with significant soft tissue injury, but these drugs are associated with acute kidney injury (AKI) in other settings; this risk has not been defined for open fracture prophylaxis. METHODS: We performed a retrospective study from May 2012 to October 2014 at our Level 1 trauma center. Patients with open fractures were evaluated for demographics, location/type of fracture, injury severity, and receipt of an AG. Outcomes included rates of AKI, infection, and mortality. RESULTS: There were 167 patients with open fractures during the study period (119 males, mean age 42 ± 17 [standard deviation] years), with 80 (48%) receiving prophylactic gentamicin (AG+ group). The AG+ and AG- patients had similar fracture sites and Injury Severity Scores (ISSs) (12.6 ± 9.9 AG+ vs. 15.9 ± 13.2 AG-) but were more likely to have sustained blunt trauma (96% AG+ vs. 77%; p < 0.001) or received intravenous contrast medium ≤48 h from admission (75% AG+ vs. 56% AG-; p = 0.01). Gentamicin was not associated with AKI (odds ratio [OR] 0.22; 95% confidence interval [CI] 0.020-2.44; p = 0.22), whereas hypotension on admission (OR 10.7; 95% CI 1.42-80.93; p = 0.02) and ISS (OR 1.1; 95% CI 1.01-1.20; p = 0.02) were both associated with AKI. Only four fracture site infections were identified, three in the AG+ group and one in the AG- group (3.8% vs. 1.1%; p = 0.27). The mortality rate was greater in the AG- group (3.8% vs. 12.6%; p = 0.04). CONCLUSIONS: Prophylactic gentamicin is not associated with AKI, whereas hypotension on admission and higher ISS were. The use of nephrotoxic agents, including aminoglycosides, should be restricted in open fracture patients presenting with hypotension or a high ISS.

Inclusion of Vancomycin as Part of Broad-Spectrum Coverage Does Not Improve Outcomes in Patients with Intra-Abdominal Infections: A Post Hoc Analysis.

BACKGROUND: Management of complicated intra-abdominal infections (cIAIs) includes broad-spectrum antimicrobial coverage and commonly includes vancomycin for the empiric coverage of methicillin-resistant Staphylococcus aureus (MRSA). Ideally, culture-guided de-escalation follows to promote robust antimicrobial stewardship. This study assessed the impact and necessity of vancomycin in cIAI treatment regimens. PATIENTS AND METHODS: A post hoc analysis of the Study to Optimize Peritoneal Infection Therapy (STOP-IT) trial was performed. Patients receiving piperacillin-tazobactam (P/T) and/or a carbapenem were included with categorization based on use of vancomycin. Univariate and multivariable analyses evaluated effects of including vancomycin on individual and the composite of undesirable outcomes (recurrent IAI, surgical site infection [SSI], or death). RESULTS: The study cohort included 344 patients with 110 (32%) patients receiving vancomycin. Isolation of MRSA occurred in only eight (2.3%) patients. Vancomycin use was associated with a similar composite outcome, 29.1%, vs. no vancomycin, 22.2% (p = 0.17). Patients receiving vancomycin had (mean [standard deviation]) higher Acute Physiology and Chronic Health Evaluation II scores (13.1 [6.6] vs. 9.4 [5.7], p < 0.0001), extended length of stay (12.6 [10.2] vs. 8.6 [8.0] d, p < 0.001), and prolonged antibiotic courses (9.1 [8.0] vs. 7.1 [4.9] d, p = 0.02). After risk adjustment in a multivariate model, no significant difference existed for the measured outcomes. CONCLUSIONS: This post hoc analysis reveals that addition of vancomycin occurred in nearly one third of patients and more often in sicker patients. Despite this selection bias, no appreciable differences in undesired outcomes were demonstrated, suggesting limited utility for adding vancomycin to cIAI treatment regimens.

Post-trauma mortality increase at age 60: a cutoff for defining elderly?

BACKGROUND: There has been an increasing emphasis on identifying elderly trauma patients. However, definitions based solely on age vary widely, ranging from age 55 to 80 years, hampering optimal trauma management for older patients. The goal of this study was to develop an objective, data-driven definition for "elderly" in trauma care by evaluating mortality risk as a function of age. METHODS: We conducted a retrospective analysis of 872,861 adult (≥18 years) patients from the National Trauma Data Bank's National Sample Program from 2003 to 2010. The primary outcome was risk-adjusted in-hospital mortality determined using multivariate logistic regression. Contribution of age to mortality was investigated through step-wise regression and percent of R2 attributable to age. We searched for straight-line trends in mortality rate at each age using the spline function of Statistical Analysis Software. RESULTS: Statistically significant increases in mortality rate were noted at ages 37, 60, and 78. Age was found to contribute 10% to mortality compared with greater than 80% for Glasgow coma scale and injury severity score combined. CONCLUSIONS: Our findings suggest using age 60 years as a data-driven definition of "elderly" in trauma.

Predictors of early versus late mortality in pelvic trauma patients.

BACKGROUND: Risks of predicting time-related in-hospital mortality varies in pelvic trauma patients. We aim to identify potential independent risks predictive of time-related (early versus late) mortality among pelvic trauma patients. METHODS: Local trauma registry data from 2004 through 2013 were reviewed. Mortality causes and timing of death were investigated. Multivariate logistic regression identified independent risks predictive of early versus late mortality in pelvic trauma patients while adjusting for patient demographics (age, sex, race), clinical variables (initial vital signs, mental status, injury severity, associated injuries, comorbidities), and hospital outcomes (surgical interventions, crystalloid resuscitations, blood transfusions). RESULTS: We retrospectively collected data on 1566 pelvic trauma patients with a mortality rate of 9.96% (156/1566). Approximately 74% of patients died from massive hemorrhage within the first 24 h of hospitalization (early mortality). Revised trauma score (RTS), injury severity score (ISS), initial hemoglobin, direct transfer to operating room, and blood transfusion administration in the Emergency Department were considered independent risk factors predictive of early mortality. Age, ISS, and Glasgow Coma Scale (GCS) were deemed risk factors predictive of death after 24 h (late mortality). DISCUSSION: Given the fact of a substantial number of patients died within the first 24 h of hospital arrival, it is reasonable to consider the first 24 h of hospitalization as the appropriate window within which early mortality may be expected to occur in pelvic trauma patients. The risk factors associated with massive hemorrhage were strong predictors of early mortality, whereas late mortality predictors were more closely linked with comorbidities or in-hospital complications. CONCLUSIONS: While risk factors predictive of early versus late mortality vary, ISS seems to predict both early and late mortality accurately in pelvic trauma patients.

The Hispanic paradox: does it exist in the injured?

BACKGROUND: Hispanics have similar or lower all-cause mortality rates in the general population than non-Hispanic whites (NHWs), despite higher risks associated with lower socioeconomic status, hence termed the "Hispanic Paradox." It is unknown if this paradox exists in the injured. We hypothesized that Hispanic trauma patients have equivalent or lower risk-adjusted mortality and observed-to-expected mortality ratios than other racial/ethnic groups. METHODS: Retrospective analysis of adult patients from the 2010 National Trauma Data Bank was performed. Hispanic patients were compared with NHWs and African Americans (AAs) to assess in-hospital mortality risk in each group. RESULTS: Compared with NHWs, Hispanic patients had lower unadjusted risk of mortality. After adjusting for potential confounders, the difference was no longer statistically significant. Mortality risk was significantly lower for Hispanic patients compared with AAs in both crude and adjusted models. Hispanic patients had significantly lower observed-to-expected mortality ratios than NHWs and AAs. CONCLUSION: Despite reports of racial/ethnic disparities in trauma outcomes, Hispanic patients are not at greater risk of death than NHW patients in a nationwide representative sample of trauma patients.

Preventing deaths and injuries from house fires: an outcome evaluation of a community-based smoke alarm installation programme.

BACKGROUND: Few studies have examined the impact of community-based smoke alarm (SA) distribution programmes on the occurrence of house fire-related deaths and injuries (HF-D/I). OBJECTIVE: To determine whether the rate of HF-D/I differed for programme houses that had a SA installed through a community-based programme called Operation Installation, versus non-programme houses in the same census tracts that had not received such a SA. METHODS: Teams of volunteers and firefighters canvassed houses in 36 high-risk target census tracts in Dallas, TX, between April 2001 and April 2011, and installed lithium-powered SAs in houses where residents were present and gave permission. We then followed incidence of HF-D/I among residents of the 8134 programme houses versus the 24 346 non-programme houses. RESULTS: After a mean of 5.2 years of follow-up, the unadjusted HF-D/I rate was 68% lower among residents of programme houses versus non-programme houses (3.1 vs 9.6 per 100 000 population, respectively; rate ratio, 0.32; 95% CI 0.10 to 0.84). Multivariate analysis including several demographic variables showed that the adjusted HF-D/I rate in programme houses was 63% lower than non-programme houses. The programme was most effective in the first 5 years after SA installation, with declining difference in rates after the 6th year, probably due to SAs becoming non-functional during that time. CONCLUSIONS: This collaborative, community-based SA installation programme was effective at preventing deaths and injuries from house fires, but the duration of effectiveness was less than 10 years.

Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study.

OBJECTIVE: To test a multidisciplinary approach to reduce heart failure (HF) readmissions that tailors the intensity of care transition intervention to the risk of the patient using a suite of electronic medical record (EMR)-enabled programmes. METHODS: A prospective controlled before and after study of adult inpatients admitted with HF and two concurrent control conditions (acute myocardial infarction (AMI) and pneumonia (PNA)) was performed between 1 December 2008 and 1 December 2010 at a large urban public teaching hospital. An EMR-based software platform stratified all patients admitted with HF on a daily basis by their 30-day readmission risk using a published electronic predictive model. Patients at highest risk received an intensive set of evidence-based interventions designed to reduce readmission using existing resources. The main outcome measure was readmission for any cause and to any hospital within 30 days of discharge. RESULTS: There were 834 HF admissions in the pre-intervention period and 913 in the post-intervention period. The unadjusted readmission rate declined from 26.2% in the pre-intervention period to 21.2% in the post-intervention period (p=0.01), a decline that persisted in adjusted analyses (adjusted OR (AOR)=0.73; 95% CI 0.58 to 0.93, p=0.01). In contrast, there was no significant change in the unadjusted and adjusted readmission rates for PNA and AMI over the same period. There were 45 fewer readmissions with 913 patients enrolled and 228 patients receiving intervention, resulting in a number needed to treat (NNT) ratio of 20. CONCLUSIONS: An EMR-enabled strategy that targeted scarce care transition resources to high-risk HF patients significantly reduced the risk-adjusted odds of readmission.

Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm.

BACKGROUND: Effective population management of patients with diabetes requires timely recognition. Current case-finding algorithms can accurately detect patients with diabetes, but lack real-time identification. We sought to develop and validate an automated, real-time diabetes case-finding algorithm to identify patients with diabetes at the earliest possible date. METHODS: The source population included 160,872 unique patients from a large public hospital system between January 2009 and April 2011. A diabetes case-finding algorithm was iteratively derived using chart review and subsequently validated (n = 343) in a stratified random sample of patients, using data extracted from the electronic health records (EHR). A point-based algorithm using encounter diagnoses, clinical history, pharmacy data, and laboratory results was used to identify diabetes cases. The date when accumulated points reached a specified threshold equated to the diagnosis date. Physician chart review served as the gold standard. RESULTS: The electronic model had a sensitivity of 97%, specificity of 90%, positive predictive value of 90%, and negative predictive value of 96% for the identification of patients with diabetes. The kappa score for agreement between the model and physician for the diagnosis date allowing for a 3-month delay was 0.97, where 78.4% of cases had exact agreement on the precise date. CONCLUSIONS: A diabetes case-finding algorithm using data exclusively extracted from a comprehensive EHR can accurately identify patients with diabetes at the earliest possible date within a healthcare system. The real-time capability may enable proactive disease management.

An electronic medical record-based model to predict 30-day risk of readmission and death among HIV-infected inpatients.

BACKGROUND: Readmission after hospitalization is costly, time-consuming, and remains common among HIV-infected individuals. We sought to use data from the Electronic Medical Record (EMR) to create a clinical, robust, multivariable model for predicting readmission risk in hospitalized HIV-infected patients. METHODS: We extracted clinical and nonclinical data from the EMR of HIV-infected patients admitted to a large urban hospital between March 2006 and November 2008. These data were used to build automated predictive models for 30-day risk of readmission and death. RESULTS: We identified 2476 index admissions among HIV-infected inpatients who were 73% males, 57% African American, with a mean age of 43 years. One-quarter were readmitted, and 3% died within 30 days of discharge. Those with a primary diagnosis during the index admission of HIV/AIDS accounted for the largest proportion of readmissions (41%), followed by those initially admitted for other infections (10%) or for oncologic (6%), pulmonary (5%), gastrointestinal (4%), and renal (3%) causes. Factors associated with readmission risk include: AIDS defining illness, CD4 ≤ 92, laboratory abnormalities, insurance status, homelessness, distance from the hospital, and prior emergency department visits and hospitalizations (c = 0.72; 95% confidence interval: 0.70 to 0.75). The multivariable predictors of death were CD4 < 132, abnormal liver function tests, creatinine >1.66, and hematocrit <30.8 (c = 0.79; 95% confidence interval: 0.74 to 0.84) for death. CONCLUSIONS: Readmission rates among HIV-infected patients were high. An automated model composed of factors accessible from the EMR in the first 48 hours of admission performed well in predicting the 30-day risk of readmission among HIV patients. Such a model could be used in real-time to identify HIV patients at highest risk so readmission prevention resources could be targeted most efficiently.

The influence of research compensation options on Practice-based Research Network (PBRN) physician participation: a North Texas (NorTex) PBRN study.

OBJECTIVE: To study the effect of two compensation approaches, continuing medical education (CME) credits (5 hours) or monetary ($150), on the participation rate of a physician needs assessment study. METHODS: Physicians representing family medicine, internal medicine, pediatric, and geriatrics specialties, and practicing in ambulatory primary care clinics affiliated with the North Texas Primary Care (NorTex) PBRN clinics, were recruited to complete a survey relevant to their subspecialty and to conduct a self-audit/abstraction of five medical records. Physicians were recruited from four health care systems, and the recruiting methods varied by system. Study outcome was the rate of study completion by type of incentive. RESULTS: One hundred five of 211 (49.8%) physicians approached to participate gave consent and 84 (39.8%) completed the study. There was no difference in the number of physicians randomly assigned to monetary compared with CME compensation for giving consent to participate (adjusted odds ratio = 1.42, confidence interval = 0.69, 2.93). However, physicians in the monetary compensation group were more likely to complete the study after giving consent (adjusted odds ratio = 4.70, confidence interval = 1.25, 17.58). This monetary effect was also significant from the perspective of all physicians approached initially (adjusted odds ratio = 2.78, confidence interval = 1.16, 6.67). DISCUSSION: This study suggests that future PBRN investigators should receive monetary compensation for the opportunity cost of adding research activities to their already busy practices. This compensation may be especially vital for PBRNs to complete more ambitious projects requiring a significant time commitment from the participating physicians.

Recruiting Practice-based Research Network (PBRN) physicians to be research participants: lessons learned from the North Texas (NorTex) needs assessment study.

INTRODUCTION: The purpose of this study was to examine strategies for recruiting physician subjects in a practice-based research network continuing education research study, using different recruitment methods at four systems, or health plan arrangements. METHODS: The North Texas Primary Care Practice-based Research Network Needs Assessment Study consisted of a survey and five self-directed medical record abstractions. Physicians were recruited to be research subjects from four systems, using different recruitment strategies. χ(2) was used to determine differences in physicians consenting and completing the study between systems. Kruskal-Wallis was used to determine differences in time from first contact to consent and number of contacts required before consent between systems. RESULTS: One hundred five of 211 physicians (49.8%) consented to participate, of which 90 (85.7%) completed the survey. There was a significant difference by system in the number of physicians who consented (P = .04) and number of contacts required pre-consent (P < .001) but not in the number of physicians completing the study or time from first contact to consent. DISCUSSION/CONCLUSIONS: Success of recruiting physicians to be research subjects varied between systems using different recruitment methods. Lessons learned include using clinician champions to make initial contact, establishing a relationship with clinic personnel, distinguishing the research team from a pharmaceutical representative, establishing a preferred contact method, and collecting study materials on a set timeline.

A controlled evaluation of the WHO Safe Communities model approach to injury prevention: increasing child restraint use in motor vehicles.

OBJECTIVE: To measure the effect of the WHO Safe Communities model approach to increasing child restraint use in motor vehicles. DESIGN: Pre- and post-intervention observations of restraint use in motor vehicles in several sites in the target area, and in a comparison area community. SETTING: Community; southeast Dallas, Texas, 2003-2005. INTERVENTIONS: A multifaceted approach to increasing use of child safety seats, booster seats and seat belts that included efforts in schools, day care centres, neighbourhoods and a local public clinic, along with child safety seat classes and a low-cost distribution programme. MAIN OUTCOME MEASURES: Prevalence of restraint use among children 0-8 years old riding in motor vehicles. RESULTS: In the target area, the adjusted child restraint use increased by 23.9 percentage points versus 11.8 in the comparison area (difference 12.1; 95% CI 9.9 to 14.3), and adjusted driver seat belt use increased by 16.3 percentage points in the target area versus 4.9 in the comparison area (difference 11.4; 95% CI 11.0 to 11.7). Multivariable multilevel analysis showed that the increase in the target area was significantly greater than in the comparison area for child restraint use (OR 1.6; 95% CI 1.2 to 2.2), as well as for driver seat belt use and proportion of children riding in the back seat. CONCLUSIONS: The Safe Communities approach was successful in promoting the use of child restraints in motor vehicles through a multifaceted intervention that included efforts in various community settings, instructional classes and child safety seat distribution.