38 research outputs found

    Review and prediction of trauma mortality

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    Quality management principles stipulate that outcome after injury is dependent upon patient factors, injury severity, structures and processes of care in a trauma system. Structures refers to the context in which care is delivered, including material resources, equipment and competence of involved personnel. Processes refers to what is literally done by the personnel involved in patient care. In this thesis, we examine the different aspects of this conceptual model with outcome as the main focus. Historically, trauma mortality has been the standard quality outcome measure. However, nontrauma related deaths and patients that are dead on arrival (DOA) in registries, complicates the interpretation of trauma mortality statistics. In Paper I, we demonstrated by clinical review of all deaths during 2007-2011 in a Level I trauma centre (Karolinska University Hospital – Solna [KUH]), that 30-day trauma mortality included 10.5% of non-trauma related deaths and the exclusion of DOAs significantly reduced the mortality rate. We concluded that review of all trauma deaths was necessary to correctly interpret trauma mortality. Analysis of preventable death (PD) is another quality outcome measure. The World Health Organization (WHO) has defined PD by the use of survival prediction models which calculates a probability of survival (Ps): non-PD with a Ps <25%, and potentially PD with a Ps >50%. In Paper II, we used a multidisciplinary peer review during 2012-2016, to identify the proportion of potentially PD and errors committed at KUH, and to evaluate the use of the WHO’s Ps cut-offs as a tool to identify the right patients to review, i.e., exclude non-PD from review or to focus review on potentially PD. We used the North American Trauma and Injury Severity Score (TRISS) and the Norwegian Survival Prediction Model in Trauma (NORMIT) to calculate the Ps. When applying the cut-off limits to the groups of non-PDs and potentially PDs for review, both models missed cases that otherwise needed to be reviewed. We concluded that peer review of all trauma deaths is essential in preventability analysis. Survival prediction models, which adjust for case-mix, have been developed to allow comparisons of the quality of trauma care between centres and over time. In Paper III, we used TRISS based risk-adjusted survival to compare two Scandinavian Level I trauma centres (KUH and Oslo University Hospital – Ullevål) during 2009-2011 and concluded that the model had its shortcomings when applied in a Scandinavian setting. The model lacks adjustments for age as a continuous variable and does not include comorbidity which, if included, could improve survival prediction in Scandinavian trauma populations. In Paper IV, we tested the accuracy of NORMIT and its later update (NORMIT 2), in regards to survival prediction, in two Swedish trauma populations; one national population including all hospitals admitting trauma patients in Sweden and one subpopulation of patients admitted to a single designated Level I trauma centre (KUH) during 2014-2016. We concluded that NORMIT 2 can be used to predict survival in a Swedish trauma centre population, but both NORMIT models performed poorly in a more heterogeneous national trauma population

    Development and external validation of DISPAIR fistula risk score for clinically relevant postoperative pancreatic fistula risk after distal pancreatectomy

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    This study describes the development and external validation of the DISPAIR score, a preoperative clinical prediction model to estimate the risk of postoperative pancreatic fistula after distal pancreatectomy. It is based on three variables measured before operation: pancreatic thickness, transection site, and history of diabetes. On external validation, it showed satisfactory discrimination (area under the curve 0.80) and calibration (slope 0.719, intercept 0.192) for predicting pancreatic fistula. Background Highly utilized risk scores for clinically relevant postoperative pancreatic fistula (CR-POPF) have guided clinical decision-making in pancreatoduodenectomy. However, none has been successfully developed for distal pancreatectomy. This study aimed to develop and validate a new fistula risk score for distal pancreatectomy. Methods Patients undergoing distal pancreatectomy at Helsinki University Hospital, Finland from 2013 to 2021, and at Karolinska University Hospital, Sweden, from 2010 to 2020, were included retrospectively. The outcome was CR-POPF, according to the 2016 International Study Group of Pancreatic Surgery definition. Preoperative clinical demographics and radiological parameters such as pancreatic thickness and duct diameter were measured. A logistic regression model was developed, internally validated with bootstrapping, and the performance assessed in an external validation cohort. Results Of 668 patients from Helsinki (266) and Stockholm (402), 173 (25.9 per cent) developed CR-POPF. The final model consisted of three variables assessed before surgery: transection site (neck versus body/tail), pancreatic thickness at transection site, and diabetes. The model had an area under the receiver operating characteristic curve (AUROC) of 0.904 (95 per cent c.i. 0.855 to 0.949) after internal validation, and 0.798 (0.748 to 0.848) after external validation. The calibration slope and intercept on external validation were 0.719 and 0.192 respectively. Four risk groups were defined in the validation cohort for clinical applicability: low (below 5 per cent), moderate (at least 5 but below 30 per cent), high (at least 30 but below 75 per cent), and extreme (75 per cent or more). The incidences in these groups were 8.7 per cent (11 of 126), 22.0 per cent (36 of 164), 63 per cent (57 of 91), and 81 per cent (17 of 21) respectively. Conclusion The DISPAIR score after distal pancreatectomy may guide decision-making and allow a risk-adjusted outcome comparison for CR-POPF.Peer reviewe

    Risk-adjusted mortality in severely injured adult trauma patients in Sweden

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    A population-based trauma register was used to develop a risk-adjustment model in order to compare mortality between university and emergency hospitals in clinically relevant subsets of trauma patients (multiple blunt trauma, penetrating truncal trauma, and severe traumatic brain injury). The results suggest that university hospitals outperform emergency hospitals when it comes to the treatment of traumatic brain injury, but the differences in outcome following extracranial trauma appear more uniform. We recommend monitoring of risk-adjusted mortality in clinically relevant subsets for the continuous evaluation of quality of trauma care. Background Risk-adjusted mortality (RAM) analysis and comparisons of clinically relevant subsets of trauma patients allow hospitals to assess performance in different processes of care. The aim of the study was to develop a RAM model and compare RAM ratio (RAMR) in subsets of severely injured adult patients treated in university hospitals (UHs) and emergency hospitals (EHs) in Sweden. Methods This was a retrospective study of the Swedish trauma registry data (2013 to 2017) comparing RAMR in patients (aged 15 years or older and New Injury Severity Score (NISS) of more than 15) in the total population (TP) and in multisystem blunt (MB), truncal penetrating (PEN), and severe traumatic brain injury (STBI) subsets treated in UHs and EHs. The RAM model included the variables age, NISS, ASA Physical Status Classification System Score, and physiology on arrival. Results In total, 6690 patients were included in the study (4485 from UHs and 2205 from EHs). The logistic regression model showed a good fit. RAMR was 4.0, 3.8, 7.4, and 8.5 percentage points lower in UH versus EH for TP (P &lt; 0.001), MB (P &lt; 0.001), PEN (P = 0.096), and STBI (P = 0.005), respectively. The TP and MB subsets were subgrouped in with (+) and without (-) traumatic brain injury (TBI). RAMR was 7.5 and 7.0, respectively, percentage points lower in UHs than in EHs in TP + TBI and MB + TBI (both P &lt; 0.001). In the TP-TBI (P = 0.027) and MB-TBI (P = 0.107) subsets the RAMR was 1.6 and 1.8 percentage points lower, respectively. Conclusion The lower RAMR in UHs versus EH were due to differences in TBI-related mortality. No evidence supported that Swedish EHs provide inferior quality of care for trauma patients without TBI or for patients with penetrating injuries

    Surgical management of severe pancreatic fistula after pancreatoduodenectomy: a comparison of early versus late rescue pancreatectomy

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    Background: Rescue pancreatectomy for postoperative pancreatic fistula (POPF) after pancreatoduodenectomy (PD) is associated with high mortality. However, in-depth literature is scarce and hard to interpret. This study aimed to evaluate the indications, timing and perioperative outcomes of rescue pancreatectomy for severe POPF after PD. Methods: Retrospective single-centre study from all consecutive patients (2008–2020) with POPF-C after PD (ISGPS 2016 definition). Major morbidity and mortality during hospitalization or within 90 days after index surgery were evaluated. Time from index surgery to rescue pancreatectomy was dichotomized in early and late (≤ 11 versus > 11 days). Results: From 1076 PDs performed, POPF-B/C occurred in 190 patients (17.7%) of whom 53 patients (4.9%) with POPF-C were included. Mortality after early rescue pancreatectomy did not differ significantly compared to late rescue pancreatectomy (13.6% versus 35.3%; p = 0.142). Timing of a rescue pancreatectomy did not change significantly during the study period: 11 (IQR, 8–14) (2008–2012) versus 14 (IQR, 7–33) (2013–2016) versus 8 days (IQR, 6–11) (2017–2020) (p = 0.140). Over time, the mortality in patients with POPF grade C decreased from 43.5% in 2008–2012 to 31.6% in 2013–2016 up to 0% in 2017–2020 (p = 0.014). However, mortality rates after rescue pancreatectomy did not differ significantly: 31.3% (2008–2012) versus 28.6% (2013–2016) versus 0% (2017–2020) (p = 0.104). Conclusions: Rescue pancreatectomy for severe POPF is associated with high mortality, but an earlier timing might favourably influence the mortality. Hypothetically, this could be of value for pre-existent vulnerable patients. These findings must be carefully interpreted considering the sample sizes and differences among subgroups by patient selection

    Prognostic influence of multiple hepatic lesions in resectable intrahepatic cholangiocarcinoma: A systematic review and meta-analysis

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    Background: Presence of multiple hepatic lesions in intrahepatic cholangiocarcinoma (iCCA) is included in staging as a negative prognostic factor, but both prognostic value and therapeutic implications remain debated. The aim of this study was to systematically review the prognostic influence of multiple lesions on survival after resection for iCCA, with stratification for distribution and number of lesions. Methods: Medline and Embase were systematically searched to identify records (2010–2021) reporting survival for patients undergoing primary resection for iCCA. Included were original articles reporting overall survival, with data on multiple lesions including tumour distribution (satellites/other multiple lesions) and/or number. For meta-analysis, the random effects model and inverse variance method were used. PRISMA 2020 guidelines were followed. Results: Thirty-one studies were included for review. For meta-analysis, nine studies reporting data on the prognostic influence of satellite lesions (2737 patients) and six studies reporting data on multiple lesions other than satellites (1589 patients) were included. Satellite lesions (hazard ratio 1.89, 95% confidence interval 1.67–2.13) and multiple lesions other than satellites (hazard ratio 2.41, 95% confidence interval 1.72–3.37) were significant negative prognostic factors. Data stratified for tumour number, while limited, indicated increased risk per additional lesion. Conclusion: Satellite lesions, as well as multiple lesions other than satellites, was a negative prognostic factor in resectable iCCA. Considering the prognostic impact, both tumour distribution and number of lesions should be evaluated together with other risk factors to allow risk stratification for iCCA patients with multiple lesions, rather than precluding resection for the entire patient group

    Outcome after surgery for invasive intraductal papillary mucinous neoplasia compared to conventional pancreatic ductal adenocarcinoma : a swedish nationwide register-based study

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    Background: The clinical importance of intraductal papillary mucinous neoplasm (IPMN) have increased last decades. Long-term survival after resection for invasive IPMN (inv-IPMN) compared to conventional pancreatic ductal adenocarcinoma (PDAC) is not thoroughly delineated. Objective: This study, based on the Swedish national pancreatic and periampullary cancer registry aims to elucidate the outcome after resection of inv-IPMN compared to PDAC. Methods: All patients ≥18 years of age resected for inv-IPMN and PDAC in Sweden between 2010 and 2019 were included. Clinicopathological variables were retrieved from the national registry. The effect on death was assessed in two multivariable Cox regression models, one for patients resected 2010–2015, one for patients resected 2016–2019. Median overall survival (OS) was estimated using the Kaplan-Meier method. Results: We included 1909 patients, 293 inv-IPMN and 1616 PDAC. The most important independent predictors of death in multivariable Cox regressions were CA19-9 levels, venous resection, tumour differentiation, as well as T-, N-, M-stage and surgical margin. Tumour type was an independent predictor for death in the 2016–2019 cohort, but not in the 2010–2015 cohort. In Kaplan-Meier survival analysis, inv-IPMN was associated with longer median OS in stage N0-1 and in stage M0 compared to PDAC. However, in stage T2-4 and stage N2 median OS was similar, and in stage M1 even shorter for inv-IPMN compared to PDAC. Conclusion: In this population-based nationwide study, outcome after resected inv-IPMN compared to PDAC is more favourable in lower stages, and similar to worse in higher

    Validation of the Norwegian survival prediction model in trauma (NORMIT) in Swedish trauma populations

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    Trauma survival prediction models can be used for quality assessment in trauma populations. The Norwegian survival prediction model in trauma (NORMIT) has been updated recently and validated internally (NORMIT 2). The aim of this observational study was to compare the accuracy of NORMIT 1 and 2 in two Swedish trauma populations. Adult patients registered in the national trauma registry during 2014-2016 were eligible for inclusion. The study populations comprised the total national trauma (NT) population, and a subpopulation of patients admitted to a single level I trauma centre (TC). The primary outcome was 30-day mortality. Model validation included receiver operating characteristic (ROC) curve analysis and GiViTI calibration belts. The calibration was also assessed in subgroups of severely injured patients (New Injury Severity Score (NISS) over 15). A total of 26 504 patients were included. Some 18·7 per cent of patients in the NT population and 2·6 per cent in the TC subpopulation were excluded owing to missing data, leaving 21 554 and 3972 respectively for analysis. NORMIT 1 and 2 showed excellent ability to distinguish between survivors and non-survivors in both populations, but poor agreement between predicted and observed outcome in the NT population with overestimation of survival, including in the subgroup with NISS over 15. In the TC subpopulation, NORMIT 1 underestimated survival irrespective of injury severity, but NORMIT 2 showed good calibration both in the total subpopulation and the subgroup with NISS over 15. NORMIT 2 is well suited to predict survival in a Swedish trauma centre population, irrespective of injury severity. Both NORMIT 1 and 2 performed poorly in a more heterogeneous national population of injured patients

    Impact of Endocrine and Exocrine Insufficiency on Quality of Life After Total Pancreatectomy

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    Background: Total pancreatectomy (TP) is rarely performed due to concerns for endocrine and exocrine insufficiency and decreased quality of life (QoL). Renewed interest is seen in recent years, but large cohort studies remain scarce. This study was designed to evaluate endocrine and exocrine insufficiency after TP and its impact on QoL. Methods: Adult patients (age ≥ 18 years) who underwent TP between 2008 and 2017 at Karolinska University Hospital with at least 6 months follow-up were included. Endocrine and exocrine insufficiency and QoL were assessed using validated questionnaires (EORTC QLQ-C30, QLQ-PAN26, PAID20, and DTSQs). Both pre- and postoperative questionnaires were available in a subgroup. Results: Of 145 TP, 60 patients were eligible of whom 53 (88.3%) with a median of 21 months (interquartile range [IQR] 13–54) follow-up were included. Symptomatic hypoglycemia occurred in 90.6% (48/53) of patients, and 25% (12/48) experienced ≥ 1 episodes of loss of consciousness. The PAID20 revealed emotional burnout in seven patients (13.2%), whereas a high satisfaction score of diabetes treatment (median 28, IQR 24–32) was measured according to the DTSQs. Overall, 27 patients (50.9%) reported to have steatorrhea during a median of 2 days (IQR 0–4) in the past week. Overall QoL was reduced compared with a general population (66.7% vs. 76.4%; Δ9.7%) but did not differ with preoperative outcomes (n = 39, 66.7%; IQR 41.7–83.3 vs. 66.7%, IQR 50.0–83.3; P = 0.553) according to the EORTC QLQ-C30. Conclusions: Although the impact of endocrine and exocrine insufficiency on QoL after TP seems acceptable, the management of both insufficiencies should be further improved
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