Regularized parametric survival modeling to improve risk prediction models.

We propose to combine the benefits of flexible parametric survival modeling and regularization to improve risk prediction modeling in the context of time-to-event data. Thereto, we introduce ridge, lasso, elastic net, and group lasso penalties for both log hazard and log cumulative hazard models. The log (cumulative) hazard in these models is represented by a flexible function of time that may depend on the covariates (i.e., covariate effects may be time-varying). We show that the optimization problem for the proposed models can be formulated as a convex optimization problem and provide a user-friendly R implementation for model fitting and penalty parameter selection based on cross-validation. Simulation study results show the advantage of regularization in terms of increased out-of-sample prediction accuracy and improved calibration and discrimination of predicted survival probabilities, especially when sample size was relatively small with respect to model complexity. An applied example illustrates the proposed methods. In summary, our work provides both a foundation for and an easily accessible implementation of regularized parametric survival modeling and suggests that it improves out-of-sample prediction performance.

Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?

BACKGROUND: This study assessed health workers' adherence to neonatal health protocols before and during the implementation of a mobile health (mHealth) clinical decision-making support system (mCDMSS) that sought to bridge access to neonatal health protocol gap in a low-resource setting. METHODS: We performed a cross-sectional document review within two purposively selected clusters (one poorly-resourced and one well-resourced), from each arm of a cluster-randomized trial at two different time points: before and during the trial. The total trial consisted of 16 clusters randomized into 8 intervention and 8 control clusters to assess the impact of an mCDMSS on neonatal mortality in Ghana. We evaluated health workers' adherence (expressed as percentages) to birth asphyxia, neonatal jaundice and cord sepsis protocols by reviewing medical records of neonatal in-patients using a checklist. Differences in adherence to neonatal health protocols within and between the study arms were assessed using Wilcoxon rank-sum and permutation tests for each morbidity type. In addition, we tracked concurrent neonatal health improvement activities in the clusters during the 18-month intervention period. RESULTS: In the intervention arm, mean adherence was 35.2% (SD = 5.8%) and 43.6% (SD = 27.5%) for asphyxia; 25.0% (SD = 14.8%) and 39.3% (SD = 27.7%) for jaundice; 52.0% (SD = 11.0%) and 75.0% (SD = 21.2%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. In the control arm, mean adherence was 52.9% (SD = 16.4%) and 74.5% (SD = 14.7%) for asphyxia; 45.1% (SD = 12.8%) and 64.6% (SD = 8.2%) for jaundice; 53.8% (SD = 16.0%) and 60.8% (SD = 11.7%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. We observed nonsignificant improvement in protocol adherence in the intervention clusters but significant improvement in protocol adherence in the control clusters. There were 2 concurrent neonatal health improvement activities in the intervention clusters and over 12 in the control clusters during the intervention period. CONCLUSION: Whether mHealth interventions can improve adherence to neonatal health protocols in low-resource settings cannot be ascertained by this study. Neonatal health improvement activities are however likely to improve protocol adherence. Future mHealth evaluations of protocol adherence must account for other concurrent interventions in study contexts.

Prevalence of left ventricular systolic dysfunction and heart failure with reduced ejection fraction in men and women with type 2 diabetes mellitus: a systematic review and meta-analysis.

BACKGROUND: Type 2 diabetes mellitus (T2D) is associated with the development of left ventricular systolic dysfunction (LVSD) and heart failure with reduced ejection fraction (HFrEF). T2D patients with LVSD are at higher risk of mortality and morbidity than patients without LVSD, while progression of LVSD can be delayed or halted by the use of proven therapies. As estimates of the prevalence are scarce and vary considerably, the aim of this study was to retrieve summary estimates of the prevalence of LVSD/HFrEF in T2D and to see if there were any sex differences. METHODS: A systematic search of Medline and Embase was performed to extract the prevalence of LVSD/HFrEF in T2D (17 studies, mean age 50.1 ± 6.3 to 71.5 ± 7.5), which were pooled using random-effects meta-analysis. RESULTS: The pooled prevalence of LVSD was higher in hospital populations (13 studies, n = 5835, 18% [95% CI 17-19%]), than in the general population (4 studies, n = 1707, 2% [95% CI 2-3%]). Seven studies in total reported sex-stratified prevalence estimates (men: 7% [95% CI 5-8%] vs. women: 1.3% [95% CI 0.0.2.2%]). The prevalence of HFrEF was available in one general population study (5.8% [95% CI 3.7.6%], men: 6.8% vs. women: 3.0%). CONCLUSIONS: The summary prevalence of LVSD is higher among T2D patients from a hospital setting compared with from the general population, with a higher prevalence in men than in women in both settings. The prevalence of HFrEF among T2D in the population was only assessed in a single study and again was higher among men than women.

Cardiac imaging to detect coronary artery disease in athletes aged 35 years and older. A scoping review.

Sudden cardiac death (SCD) is a devastating event in athletes. Screening efforts that were first directed at athletes younger than 35 years are now focusing on the rapidly growing group of older sportspersons. Athletes aged ≥35 years have a 10-fold increased risk of exercise-related cardiac arrest, mostly due to coronary artery disease (CAD). Although cardiac imaging is pivotal in identifying CAD, the role of imaging modalities in screening asymptomatic older sportspersons remains unclear. We performed a scoping review to identify the role of cardiac imaging to detect CAD in older sportspersons and to identify gaps in the existing literature. We searched MEDLINE, EMBASE and the Cochrane library for studies reporting data on cardiac imaging of CAD in sportspersons ≥35 years. The systematic search yielded 1737 articles, and 14 were included in this scoping review. Imaging modalities included two echocardiography, one unenhanced computed tomography (CT) for coronary artery calcium scoring (CACS), three CACS and contrast-enhanced CT angiography (CCTA), two CACS and cardiac magnetic resonance (CMR), one CCTA with CMR and echocardiography, two CCTA, two CMR, and one myocardial perfusion imaging article. The low number of relevant articles and the selection bias introduced by studying specific groups, like veteran marathon runners, indicate the need for future research. Cardiac CT (CACS and CCTA) probably has the highest potential for pre-participation screening, with high diagnostic value to detect CAD and low radiation dose. However, currently there is insufficient evidence for incorporating routine cardiac imaging in the pre-participation screening of asymptomatic sportspersons over 35 years.

Narrow Band Imaging, Magnifying Chromoendoscopy, and Gross Morphological Features for the Optical Diagnosis of T1 Colorectal Cancer and Deep Submucosal Invasion: A Systematic Review and Meta-Analysis.

OBJECTIVES: Optical diagnosis of T1 colorectal cancer (CRC) and T1 CRC with deep submucosal invasion is important in guiding the treatment strategy. The use of advanced imaging is not standard clinical practice in Western countries. A systematic review and meta-analysis were conducted comparing the accuracy of narrow band imaging (NBI), magnifying chromoendoscopy (MCE), and gross morphological features (GMF) seen with conventional view for the optical diagnosis of T1 CRC and deep submucosal invasion. METHODS: A literature search identified studies on the optical diagnosis of T1 CRC and deep invasion using NBI, MCE, or GMF. Pooled estimates (PE) of sensitivity and specificity across studies reporting on NBI or MCE were compared using a random effects bivariate meta-regression approach, and a paired analysis focusing on studies that performed both techniques within the same patient was performed. RESULTS: Thirty-three studies with 31,568 polyps were included. For the optical diagnosis of T1 CRC, both NBI (4 studies; PE 0.85, 95% confidence interval (CI) 0.75-0.91) and MCE (5 studies; PE 0.90, 95% CI 0.83-0.94) yielded higher sensitivity as compared with GMF (3 studies; range 0.21-0.46). No significant preference for NBI or MCE was found (sensitivity relative risk (RR) 0.93, 95% CI 0.79-1.09, P=0.37; specificity RR 0.98, 95% CI 0.86-1.11, P=0.74). Similarly, for the optical diagnosis of deep invasion, both NBI (13 studies; PE 0.77, 95% CI 0.68-0.84) and MCE (17 studies; PE 0.81, 95% 0.75-0.87) yielded higher sensitivity as compared with GMF (6 studies; range 0.18-0.88), and no significant preference for either NBI or MCE was found (sensitivity RR 0.92, 95% CI 0.76-1.11, P=0.36; specificity RR 1.00, 95% CI 0.96-1.04, P=0.92). CONCLUSIONS: This review supports the use of advanced imaging techniques in preference to GMF to reduce the risk of performing piecemeal resection for T1 CRCs or unnecessary surgical referral for lesions amendable to endoscopic resection. A preference for either NBI or MCE could not be observed.

Radiological findings and radiation exposure during trauma workup in a cohort of 1124 level 1 trauma patients.

BACKGROUND: During the initial assessment of patients with potential severe injuries, radiological examinations are performed in order to rapidly diagnose clinically relevant injuries. Previous studies have shown that performing these examinations routinely is not always necessary and that trauma patients are exposed to substantial radiation doses. The aim of this study was to assess the amount and findings of radiological examinations during the initial assessment of trauma patients and to determine the radiation doses to which these patients are exposed to. METHODS: We analyzed the 1124 patients included in a randomized trial. All radiological examinations during the initial assessment (i.e., primary and secondary survey) were assessed. The examination results were categorized as positive findings (i.e., (suspicion for) traumatic injury) and normal findings. The effective radiation doses for the examinations were calculated separately for each patient. RESULTS: Eight hundred and three patients were male (71 %), median age was 38 years, and 1079 patients sustained blunt trauma (96 %). During initial assessment, almost 3900 X-rays were performed, of which 25.4 % showed positive findings. FAST of the abdomen was performed in 989 patients (88 %), with positive findings in 10.6 %. Additional CT scanning of specific body regions was performed 1890 times in 813 patients (72.1 %), of which approximately 43.4 % revealed positive findings. Hemodynamically stable patients showed more normal findings on the radiographic studies than unstable patients. The mean radiation doses for the total population was 8.46 mSv (±7.7) and for polytraumatized patients (ISS ≥ 16) 14.3 mSv (±9.5). CONCLUSION: Radiological diagnostics during initial assessment of trauma patients show a high rate of normal findings in our trauma system. The radiation doses to which trauma patients are exposed are considerable. Considering that the majority of the injured patients are hemodynamically stable, we suggest more selective use of X-ray and CT scanning.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Prediction models are developed to aid health-care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health-care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement.

BACKGROUND: Prediction models are developed to aid healthcare providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision-making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. METHODS: An extensive list of items based on a review of the literature was created, which was reduced after a web-based survey and revised during a 3-day meeting in June 2011 with methodologists, healthcare professionals and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. RESULTS: The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. CONCLUSION: The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. A complete checklist is available at http://www.tripod-statement.org.

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Prediction models are developed to aid healthcare providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision-making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) initiative developed a set of recommendations for the reporting of studies developing, validating or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a web-based survey and revised during a 3-day meeting in June 2011 with methodologists, healthcare professionals and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study, regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Prediction models are developed to aid health care providers in estimating the probability or risk that a specific disease or condition is present (diagnostic models) or that a specific event will occur in the future (prognostic models), to inform their decision making. However, the overwhelming evidence shows that the quality of reporting of prediction model studies is poor. Only with full and clear reporting of information on all aspects of a prediction model can risk of bias and potential usefulness of prediction models be adequately assessed. The Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) Initiative developed a set of recommendations for the reporting of studies developing, validating, or updating a prediction model, whether for diagnostic or prognostic purposes. This article describes how the TRIPOD Statement was developed. An extensive list of items based on a review of the literature was created, which was reduced after a Web-based survey and revised during a 3-day meeting in June 2011 with methodologists, health care professionals, and journal editors. The list was refined during several meetings of the steering group and in e-mail discussions with the wider group of TRIPOD contributors. The resulting TRIPOD Statement is a checklist of 22 items, deemed essential for transparent reporting of a prediction model study. The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used. The TRIPOD Statement is best used in conjunction with the TRIPOD explanation and elaboration document. To aid the editorial process and readers of prediction model studies, it is recommended that authors include a completed checklist in their submission (also available at www.tripod-statement.org).

External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts.

PURPOSE/OBJECTIVE: Chemo-radiotherapy can improve the oncological outcome of esophageal cancer (EC) patients, but may cause long term radiation-induced toxicity, including an increased risk of non-cancer related death. For lung cancer patients, a model to predict 2-year total mortality using mean heart dose (MHD) and gross tumor volume (GTV) has previously been developed and validated. This project aimed to externally validate this model in EC patients. METHODS: Five EC patient cohorts from 3 different Dutch centres were used for model validation. External validity of the model was assessed separately in definitive (n = 170) and neo-adjuvant (n = 568) chemoradiotherapy (dCRT and nCRT) patients. External validity was assessed in terms of calibration by calibration plots, calibration-in-the-large (CITL) and calibration slope (CS), and discrimination by assessment of the c-statistic. If suboptimal model performance was observed, the model was further updated accordingly. RESULTS: For the dCRT patients, good calibration was found after adjustment of the intercept (CITL 0.00; CS 1.08). The c-statistic of the adjusted model was 0.67 (95%CI: 0.58 to 0.75). For nCRT patients the model needed adjustment of both the slope and the intercept because of initial miscalibration in the validation population (CITL 0.00; CS 1.72). After recalibration, the model showed perfect calibration (i.e., CITL 0, CS 1), as is common after recalibration. The c-statistic of the recalibrated model equaled 0.62 (95%CI: 0.57 to 0.67). CONCLUSION: The existing model for 2-year mortality prediction in lung cancer patients, based on the predictive factors MHD and GTV, showed good performance in EC patients after updating the intercept and/or slope of the original model.

Predictive factors for initial treatment response after circumferential radiofrequency ablation for Barrett's esophagus with early neoplasia: a prospective multicenter study.

BACKGROUND AND STUDY AIMS: Radiofrequency ablation (RFA) is safe and effective for the eradication of neoplastic Barrett's esophagus; however, occasionally there is minimal regression after initial circumferential balloon-based RFA (c-RFA). This study aimed to identify predictive factors for a poor response 3 months after c-RFA, and to relate the percentage regression at 3 months to the final treatment outcome. METHODS: We included consecutive patients from 14 centers who underwent c-RFA for high grade dysplasia at worst. Patient and treatment characteristics were registered prospectively. "Poor initial response" was defined as < 50 % regression of the Barrett's esophagus 3 months after c-RFA, graded by two expert endoscopists using endoscopic images. Predictors of initial response were identified through logistic regression analysis. RESULTS: There were 278 patients included (median Barrett's segment C4M6). In poor initial responders (n = 36; 13 %), complete response for neoplasia (CR-neoplasia) was ultimately achieved in 86 % (vs. 98 % in good responders; P < 0.01) and complete response for intestinal metaplasia (CR-IM) in 66 % (vs. 95 %; P < 0.01). Poor responders required 13 months treatment (vs. 7 months; P < 0.01) for a median of four RFA sessions (vs. three; P < 0.01). We identified four independent baseline predictors of poor response: active reflux esophagitis (odds ratio [OR] 37.4; 95 % confidence interval [CI] 3.2 - 433.2); endoscopic resection scar regeneration with Barrett's epithelium (OR 4.7; 95 %CI 1.1 - 20.0); esophageal narrowing pre-RFA (OR 3.9; 95 %CI 1.0 - 15.1); and years of neoplasia pre-RFA (OR 1.2; 95 %CI 1.0 - 1.4). CONCLUSIONS: Patients with a poor initial response to c-RFA have a lower ultimate success rate for CR-neoplasia/CR-IM, require more treatment sessions, and a longer treatment period. A poor initial response to c-RFA occurs more frequently in patients who regenerate their endoscopic resection scar with Barrett's epithelium, and those with ongoing reflux esophagitis, neoplasia in Barrett's esophagus for a longer time, or a narrow esophagus.

Cost-effectiveness of trauma CT in the trauma room versus the radiology department: the REACT trial.

OBJECTIVE: To determine the cost-effectiveness of trauma room CT compared with CT performed at the radiology department. METHODS: In this randomised controlled trial, adult patients requiring evaluation in a level 1 trauma centre were included. In the intervention hospital the CT system was located within the trauma room and in the control hospital within the radiology department. Direct and indirect medical costs of the institutionalised stay and diagnostic and therapeutic procedures were calculated. RESULTS: A total of 1,124 patients were randomised with comparable demographic characteristics. Mean number of non-institutionalised days alive was 322.5 in the intervention group (95 % CI 314-331) and 320.7 in the control group (95 % CI 312.1-329.2). Mean costs of diagnostic and therapeutic procedures per hospital inpatient day were 554 for the intervention group and 468 for the control group. Total mean costs in the intervention group were 16,002 (95 % CI 13,075-18,929) and 16,635 (95 % CI 13,528-19,743) for the control group (P = 0.77). CONCLUSION: The present study showed that in trauma patients the setting with a CT system located in the trauma room did not provide any advantages or disadvantages from a health economics perspective over a CT system located in the radiology department.

Diagnostic accuracy of CT perfusion imaging for detecting acute ischemic stroke: a systematic review and meta-analysis.

BACKGROUND: The aim of the current study was to determine the sensitivity and specificity of CT perfusion (CTP) for the detection of ischemic stroke by performing a systematic review and meta-analysis of published reports. METHODS: We searched PubMed, Embase and the Cochrane library using the terms 'perfusion computed tomography', 'ischemic stroke' and synonyms. We included studies that: (1) reported original data, (2) studied the diagnostic value of CTP for detecting ischemic stroke, (3) used MRI-DWI, follow-up MRI or follow-up CT as the reference standard, (4) included at least 10 patients who were suspected of ischemic stroke, and (5) reported the number of true positives, true negatives, false positives and false negatives for the diagnosis of ischemic stroke. RESULTS: Fifteen studies were finally included in the current review with a total of 1,107 patients. A pooled analysis resulted in a sensitivity of 80% (95% confidence interval, CI: 72-86%) and a specificity of 95% (95% CI: 86-98%). Almost two thirds of the false negatives were due to small lacunar infarcts; the remaining false negatives were mostly due to limited coverage. CONCLUSIONS: The current systematic review shows that CTP has a high sensitivity and a very high specificity for detecting infarcts.

Magnetic resonance imaging is more sensitive than computed tomography angiography for the detection of endoleaks after endovascular abdominal aortic aneurysm repair: a systematic review.

OBJECTIVES: The purpose of this systematic review was to examine whether magnetic resonance imaging (MRI) or computed tomography angiography (CTA) is more sensitive for the detection of endoleaks in patients with abdominal aortic aneurysm (AAA) after EVAR. DESIGN: Systematic review. MATERIALS AND METHODS: A systematic electronic search was performed. Articles were included when post-EVAR patients were evaluated by both MRI as index test and CTA as comparison. Methodological quality was assessed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. Primary outcome was the proportion of patients in whom MRI detected additional endoleaks, which were not seen with CTA. RESULTS: Eleven articles were included. The overall methodological quality of the articles was good. In total, 369 patients with 562 MRI and 562 CTA examinations were included. A total of 146 endoleaks were detected by CTA; MRI detected all but two of these endoleaks. With MRI 132 additional endoleaks were found. CONCLUSIONS: MRI is more sensitive compared to CTA for the detection of post-EVAR endoleaks, especially for the detection of type II endoleaks. MRI should be considered in patients with continued AAA growth and negative or uncertain findings at CTA.

Neoadjuvant chemoradiotherapy followed by esophagectomy does not increase morbidity in patients over 70.

Esophagectomy in elderly esophageal carcinoma patients is correlated with a high morbidity and even mortality. Studies on neoadjuvant chemoradiotherapy (NT) in elderly patients are scarce. The aim of this study was to evaluate the effect of advanced age in combination with NT in esophageal carcinoma patients who underwent an esophagectomy. Patients who underwent NT prior to esophagectomy between 1993 and 2010 were divided into three groups: <70, 70-74, and ≥75 years. Toxicity of NT and postoperative morbidity were compared between groups. Primary endpoints were toxicity, complication rate, and survival. Two hundred thirteen patients underwent NT during the study period, 26 were aged 70-74 years, and 17 were ≥70 years. Toxicity of NT was comparable for younger and elderly patients (46% vs. 54% vs. 47%, P = 0.263). Overall complications occurred in 62% of younger patients versus 73% and 71% among patients aged 70-74 years and ≥75 years, respectively (P = 0.836). Cardiac complications occurred in 14% of younger patients versus 27% and 41% of elderly patients (P = 0.021). Three-year survival rates were 59% versus 44% versus 31% among patients aged <70, 70-74, and ≥75 years, respectively (P = 0.237). Higher age (odds ratio 1.750, P < 0.001) was an independent risk factor for development of cardiac complications. Toxicity of NT and postoperative complications are comparable for patients aged <70, 70-74, and ≥75 years, with the exception of cardiac complications. Therefore, we consider NT followed by esophagectomy in elderly patients a safe treatment modality in our center.

Systematic review and meta-analysis of immediate total-body computed tomography compared with selective radiological imaging of injured patients.

BACKGROUND: The aim of this review was to assess the value of immediate total-body computed tomography (CT) during the primary survey of injured patients compared with conventional radiographic imaging supplemented with selective CT. METHODS: A systematic search of the literature was performed in MEDLINE, Embase, Web of Science and Cochrane Library databases. Reports were eligible if they contained original data comparing immediate total-body CT with conventional imaging supplemented with selective CT in injured patients. The main outcomes of interest were overall mortality and time in the emergency room (ER). RESULTS: Four studies were included describing a total of 5470 patients; one study provided 4621 patients (84.5 per cent). All four studies were non-randomized cohort studies with retrospective data collection. Mortality was reported in three studies. Absolute mortality rates differed substantially between studies, but within studies mortality rates were comparable between immediate total-body CT and conventional imaging strategies (pooled odds ratio 0.91, 95 per cent confidence interval 0.79 to 1.05). Time in the ER was described in three studies, and in two was significantly shorter in patients who underwent immediate total-body CT: 70 versus 104 min (P = 0.025) and 47 versus 82 min (P < 0.001) respectively. CONCLUSION: This review showed differences in time in the ER in favour of immediate total-body CT during the primary trauma survey compared with conventional radiographic imaging supplemented with selective CT. There were no differences in mortality. The substantial reduction in time in the ER is a promising feature of immediate total-body CT but well designed and larger randomized studies are needed to see how this will translate into clinical outcomes.

Randomized clinical trial comparing the effect of computed tomography in the trauma room versus the radiology department on injury outcomes.

BACKGROUND: Computed tomography (CT) of injured patients in the radiology department requires potentially dangerous and time-consuming patient transports and transfers. It was hypothesized that CT in the trauma room would improve patient outcome and workflow. METHODS: A randomized trial compared the effect of locating a CT scanner in the trauma room versus the radiology department in two Dutch trauma hospitals. Injured patients aged at least 16 years were assigned randomly to one of these hospitals at the time of transport. The primary outcome measure was the number of non-institutionalized days within the first year after randomization. Subgroup analyses were performed in patients with multiple trauma or severe traumatic brain injury (TBI). RESULTS: Some 1124 patients were included, of whom 1045 were available for analysis. The median number of non-institutionalized days was 360 days in the intervention group versus 362 days for the control group (P = 0.068). The time from arrival to the first CT imaging was 13 min shorter in the intervention group (36 versus 49 min; P < 0.001). Patient transfers and transports were reduced by more than half in the intervention group. For both multiple trauma (265 patients) and TBI (121) subgroups, differences in mortality and out-of-hospital days favoured the intervention group, but were not statistically significant. CONCLUSION: A CT scanner located in the trauma room reduces the time to acquire CT images and improves workflow, but does not lead to substantial improvements in clinical outcomes in a general trauma population. Observed beneficial effects on outcomes in patients with multiple trauma or severe TBI were not statistically significant. REGISTRATION NUMBER: ISRCTN55332315 (http://www.controlled-trials.com).

Systematic review of trocar-site hernia.

BACKGROUND: Broad implementation of laparoscopic surgery has made trocar-related complications clinically important. Trocar-site hernia (TSH) is an uncommon, but potentially serious, complication that occasionally requires emergency surgery. This systematic review was conducted to establish the prevalence and risk factors for TSH. METHODS: The review was conducted according to the PRISMA guidelines. MEDLINE, Embase, Web of Science and the Cochrane Library were searched to 7 June 2010 for studies on TSH. RESULTS: Twenty-two articles were included. One study was a randomized clinical trial, five were prospective cohort studies and 16 were retrospective cohort studies. The prevalence of TSH is low, with a median pooled estimate of 0·5 (range 0-5·2) per cent. No meta-analysis on risk factors could be performed. Pyramidal trocars, 12-mm trocars and a long duration of surgery were identified as the most important technical risk factors for TSH. Older age and a higher body mass index were observed to be patient-related risk factors. CONCLUSION: TSH is an uncommon complication of laparoscopic surgery. The most important technical risk factors are the design and size of the trocars. The scientific evidence for recommendations to avoid TSH is sparse.