Dataset Information

A simplified scoring system for the prediction of pancreatoduodenectomy's complications: An observational study.

ABSTRACT: To assess the efficiency of several previous scoring systems in the prediction of postoperative complications of pancreatoduodenectomy (PCPD) and to explore a new simplified scoring system for PCPD prediction.All 183 consecutive patients scheduled for PD from 2010 to 2017 in the Second Affiliated Hospital of Chongqing Medical University were collected retrospectively. The area under the curve (AUC) for the prediction of PCPD was calculated for POSSUM, E-PASS, APACHE-II, and APACHE-III, which were used to test the efficiency of PCPD prediction. The independent risk factors included in the new scoring system were determined by univariate analysis and a logistic regression model. Next, the prediction efficiency was validated.The results of the univariate analysis showed that such variables as male sex, weight, WBC, serum sodium, arterial pH, postoperative 24?hours urine output, and operation time were influence factors for postoperative complications (P?<.05). Arterial pH, serum sodium, postoperative 24?hours urine output, and WBC were independent risk factors of postoperative complications based on the logistic regression analysis (P?<.05). The AUC of the novel scoring system for PCPD prediction was 85.4%.The proposed scoring system might be a more effective tool for predicting PCPD compared with previous multipurpose scoring systems.

SUBMITTER: Chen L

PROVIDER: S-EPMC6344119 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A simplified scoring system for the prediction of pancreatoduodenectomy's complications: An observational study.

Chen Long L Su Dai-Wen DW Zhang Fan F Shen Jun-Yi JY Zhang Yan-Hong YH Wang Yun-Bing YB

Medicine 20190101 1

To assess the efficiency of several previous scoring systems in the prediction of postoperative complications of pancreatoduodenectomy (PCPD) and to explore a new simplified scoring system for PCPD prediction.All 183 consecutive patients scheduled for PD from 2010 to 2017 in the Second Affiliated Hospital of Chongqing Medical University were collected retrospectively. The area under the curve (AUC) for the prediction of PCPD was calculated for POSSUM, E-PASS, APACHE-II, and APACHE-III, which wer ...[more]

PMID: 30608435

Similar Datasets

Project description:BackgroundWalking is a fundamental part of living, and its importance is not limited by age or medical status. Reduced walking speed (WS), or gait velocity, is a sign of advancing age, various disease states, cognitive impairment, mental illness and early mortality. Activity levels, as defined in the literature as "daily step count" (DSC), is also a relevant measure of health status. A deterioration in our walking metrics, such as reduced WS and DSC, is associated with poor health outcomes. These objective measures are of such importance, that walking speed has been dubbed "the 6th vital sign". We report a new objective measure that scores walking using the relevant metrics of walking speed and daily step count, into an easy-to-understand score from 0 (nil mobility) to 100 (excellent mobility), termed the Simplified Mobility Score (SMoS™). We have provided equal weighting to walking speed and daily step count, using a simple algorithm to score each metric out of 50.MethodsGait data was collected from 182 patients presenting to a tertiary hospital spinal unit with complaints of pain and reduced mobility. Walking speed was measured from a timed walk along an unobstructed pathway. Daily step count information was obtained from patients who had enabled step count tracking on their devices. The SMoS of the sample group were compared to expected population values calculated from the literature using 2-tailed Z tests.ResultsThere were significantly reduced SMoS in patients who presented to the spinal unit than those expected at each age group for both genders, except for the 50-59 age bracket where no statistically significant reduction was observed. Even lower scores were present in those that went on to have surgical management. There was a significant correlation of SMoS scores with subjective disability scores such as the Oswestry Disability Index (ODI) and Visual Analogue Scale (VAS) in this cohort.ConclusionsThe SMoS is a simple and effective scoring tool which is demonstrably altered in spinal patients across age and gender brackets and correlates well with subjective disability scores. The SMoS has the potential to be used as a screening tool in primary and specialised care settings.

Project description:BackgroundCurrently used pre-operative prediction scores for postoperative pulmonary complications (PPCs) use patient data and expected surgery characteristics exclusively. However, intra-operative events are also associated with the development of PPCs.ObjectiveWe aimed to develop a new prediction score for PPCs that uses both pre-operative and intra-operative data.DesignThis is a secondary analysis of the LAS VEGAS study, a large international, multicentre, prospective study.SettingsA total of 146 hospitals across 29 countries.PatientsAdult patients requiring intra-operative ventilation during general anaesthesia for surgery.InterventionsThe cohort was randomly divided into a development subsample to construct a predictive model, and a subsample for validation.Main outcome measuresPrediction performance of developed models for PPCs.ResultsOf the 6063 patients analysed, 10.9% developed at least one PPC. Regression modelling identified 13 independent risk factors for PPCs: six patient characteristics [higher age, higher American Society of Anesthesiology (ASA) physical score, pre-operative anaemia, pre-operative lower SpO2 and a history of active cancer or obstructive sleep apnoea], two procedure-related features (urgent or emergency surgery and surgery lasting ≥ 1 h), and five intra-operative events [use of an airway other than a supraglottic device, the use of intravenous anaesthetic agents along with volatile agents (balanced anaesthesia), intra-operative desaturation, higher levels of positive end-expiratory pressures > 3 cmH2O and use of vasopressors]. The area under the receiver operating characteristic curve of the LAS VEGAS risk score for prediction of PPCs was 0.78 [95% confidence interval (95% CI), 0.76 to 0.80] for the development subsample and 0.72 (95% CI, 0.69 to 0.76) for the validation subsample.ConclusionThe LAS VEGAS risk score including 13 peri-operative characteristics has a moderate discriminative ability for prediction of PPCs. External validation is needed before use in clinical practice.Trial registrationThe study was registered at Clinicaltrials.gov, number NCT01601223.

Project description:BackgroundPostoperative pulmonary complications (PPCs) are important contributors to mortality and morbidity after surgery. The available predicting models are useful in preoperative risk assessment, but there is a need for validated tools for the early postoperative period as well. Lung ultrasound is becoming popular in intensive and perioperative care and there is a growing interest to evaluate its role in the detection of postoperative pulmonary pathologies.ObjectivesWe aimed to identify characteristics with the potential of recognizing patients at risk by comparing the lung ultrasound scores (LUS) of patients with/without PPC in a 24-h postoperative timeframe.MethodsObservational study at a university clinic. We recruited ASA 2-3 patients undergoing elective major abdominal surgery under general anaesthesia. LUS was assessed preoperatively, and also 1 and 24 h after surgery. Baseline and operative characteristics were also collected. A one-week follow up identified PPC+ and PPC- patients. Significantly differing LUS values underwent ROC analysis. A multi-variate logistic regression analysis with forward stepwise model building was performed to find independent predictors of PPCs.ResultsOut of the 77 recruited patients, 67 were included in the study. We evaluated 18 patients in the PPC+ and 49 in the PPC- group. Mean ages were 68.4 ± 10.2 and 66.4 ± 9.6 years, respectively (p = 0.4829). Patients conforming to ASA 3 class were significantly more represented in the PPC+ group (66.7 and 26.5%; p = 0.0026). LUS at baseline and in the postoperative hour were similar in both populations. The median LUS at 0 h was 1.5 (IQR 1-2) and 1 (IQR 0-2; p = 0.4625) in the PPC+ and PPC- groups, respectively. In the first postoperative hour, both groups had a marked increase, resulting in scores of 6.5 (IQR 3-9) and 5 (IQR 3-7; p = 0.1925). However, in the 24th hour, median LUS were significantly higher in the PPC+ group (6; IQR 6-10 vs 3; IQR 2-4; p < 0.0001) and it was an independent risk factor (OR = 2.6448 CI95% 1.5555-4.4971; p = 0.0003). ROC analysis identified the optimal cut-off at 5 points with high sensitivity (0.9444) and good specificity (0.7755).ConclusionPostoperative LUS at 24 h can identify patients at risk of or in an early phase of PPCs.

Project description:Acute kidney injury (AKI) is a frequent complication of liver transplantation and is associated with increased mortality. We identified the incidence and modifiable risk factors for AKI after living-donor liver transplantation (LDLT) and constructed risk scoring models for AKI prediction. We retrospectively reviewed 538 cases of LDLT. Multivariate logistic regression analysis was used to evaluate risk factors for the prediction of AKI as defined by the RIFLE criteria (RIFLE = risk, injury, failure, loss, end stage). Three risk scoring models were developed in the retrospective cohort by including all variables that were significant in univariate analysis, or variables that were significant in multivariate analysis by backward or forward stepwise variable selection. The risk models were validated by way of cross-validation. The incidence of AKI was 27.3% (147/538) and 6.3% (34/538) required postoperative renal replacement therapy. Independent risk factors for AKI by multivariate analysis of forward stepwise variable selection included: body-mass index >27.5 kg/m2 [odds ratio (OR) 2.46, 95% confidence interval (CI) 1.32-4.55], serum albumin <3.5 mg/dl (OR 1.76, 95%CI 1.05-2.94), MELD (model for end-stage liver disease) score >20 (OR 2.01, 95%CI 1.17-3.44), operation time >600 min (OR 1.81, 95%CI 1.07-3.06), warm ischemic time >40 min (OR 2.61, 95%CI 1.55-4.38), postreperfusion syndrome (OR 2.96, 95%CI 1.55-4.38), mean blood glucose during the day of surgery >150 mg/dl (OR 1.66, 95%CI 1.01-2.70), cryoprecipitate > 6 units (OR 4.96, 95%CI 2.84-8.64), blood loss/body weight >60 ml/kg (OR 4.05, 95%CI 2.28-7.21), and calcineurin inhibitor use without combined mycophenolate mofetil (OR 1.87, 95%CI 1.14-3.06). Our risk models performed better than did a previously reported score by Utsumi et al. in our study cohort. Doses of calcineurin inhibitor should be reduced by combined use of mycophenolate mofetil to decrease postoperative AKI. Prospective randomized trials are required to address whether artificial modification of hypoalbuminemia, hyperglycemia and postreperfusion syndrome would decrease postoperative AKI in LDLT.

Dataset Information

A simplified scoring system for the prediction of pancreatoduodenectomy's complications: An observational study.

Publications

A simplified scoring system for the prediction of pancreatoduodenectomy's complications: An observational study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure