Postoperative Renal Function in Patients Undergoing Unilateral Nephrectomy: Development of a Prediction Model Using Preoperative Risk Factors and 51Cr-EDTA Clearance

2020 ◽  
Vol 34 (3) ◽  
pp. 394-399
Author(s):  
Hiury S. Andrade ◽  
Victor Srougi ◽  
Marco A. Arap ◽  
Anuar I. Mitre ◽  
Cristina P. Camargo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Function ◽  
Prediction Model ◽  
Unilateral Nephrectomy ◽  
Preoperative Risk ◽  
Preoperative Risk Factors ◽  
Postoperative Renal Function ◽  
51Cr Edta

The Prediction of Renal Function 6 Years After Unilateral Nephrectomy Using Preoperative Risk Factors

2004 ◽  
Vol 171 (1) ◽  
pp. 120-125 ◽  
Author(s):  
KEIICHI ITO ◽  
JUN NAKASHIMA ◽  
YASUMASA HANAWA ◽  
MOTOTSUGU OYA ◽  
TAKASHI OHIGASHI ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Function ◽  
Unilateral Nephrectomy ◽  
Preoperative Risk ◽  
Preoperative Risk Factors

Preoperative risk factors predicting postoperative complications in radical cystectomy for bladder cancer.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 395-395
Author(s):  
Derek Jensen ◽  
Stefan Graw ◽  
Sida Niu ◽  
Vassili Glazyrine ◽  
Devin Koestler ◽  
...  
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Bladder Cancer ◽  
Postoperative Complications ◽  
Prediction Model ◽  
Radical Cystectomy ◽  
Complication Rates ◽  
Preoperative Risk ◽  
Preoperative Risk Factors ◽  
Risk Patients

395 Background: Radical cystectomy is an extensive operation with complications reported in up to 30.5% of patients. High complication rates contribute to increased costs, patient morbidity and mortality. Accurate prospective predictions of patients’ risk for post−surgical complications have the potential to identify at risk patients. Risk estimators have been developed but often involve an extensive number of factors or produce expansive results that are not clinically useful. Methods: 330 patients who underwent radical cystectomy for bladder cancer from January 2008 to July 2014 were included in this study. Potential preoperative risk predictors were collected from medical history, TURBT pathology, preoperative labs, proposed procedure type, and prior treatments. Postoperative complications were graded using the Clavien−Dindo scale. Multivariate logistic regression models were used to predict post−operative complications. Accuracy of prediction models was assessed using the area under the receiver operating characteristic curve. Results: Of the potential preoperative risk factors, 5, 10 and 16 unique predictors along with two way interactions were determined to have strong association with 90 day postoperative complications, yielding an AUC of 0.69, 0.79 and 0.91 respectively. Conclusions: Our findings suggest routinely collected preoperative patient−level clinical variables may be useful for determining patient risk for short−term postoperative complications. The flexibility in our prediction model for the number of predictor inputs allow users to tailor the degree of risk assessment based on a patient’s baseline heath status. A simple and accessible prediction model with selective predictors may help identify at risk patients for patient education, counseling and development of risk reduction strategies.

Meniscal Deficiency Period and High Body Mass Index Are Preoperative Risk Factors for Joint Space Narrowing After Meniscal Allograft Transplantation

2021 ◽  
Vol 49 (3) ◽  
pp. 693-699
Author(s):  
Sang-Min Lee ◽  
Seong-Il Bin ◽  
Jong-Min Kim ◽  
Bum-Sik Lee ◽  
Kuen Tak Suh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Femoral Condyle ◽  
Joint Space ◽  
Preoperative Risk ◽  
Meniscal Allograft Transplantation ◽  
Time Points ◽  
Allograft Transplantation ◽  
Preoperative Risk Factors ◽  
Meniscal Allograft ◽  
The Difference

Background: Several studies have reported further reduction in joint space width (JSW) after meniscal allograft transplantation; some contributing postoperative factors are known, although preoperative factors remain unclear. This study is the first to analyze the preoperative risk factors for reduced JSW in patients after lateral meniscal allograft transplantation (LMAT). Hypothesis: Poor cartilage status and high preoperative body mass index (BMI) influence the postoperative progression of joint space narrowing. Study Design: Case-control study; Level of evidence, 3. Methods: We retrospectively studied 79 patients after LMAT who were observed for at least 5 years. JSWs on weightbearing flexion posteroanterior radiographs were measured preoperatively and at the 5-year mark. Differences in JSW were divided into more progression and less progression groups. The modified Outerbridge cartilage grades based on magnetic resonance imaging assessments were compared at subtotal/total meniscectomy and at LMAT to determine the difference between time points. Preoperative between-group differences in sex, age, surgical side, follow-up period, weight, height, BMI, and meniscal deficiency period were analyzed. Clinical outcomes were evaluated using the Lysholm score. Data were examined using univariate and multivariate logistic regressions. Results: Radiographically, the overall change in JSW from preoperative to follow-up was 0.58 mm (range, –0.23 to 1.83 mm). Reductions in JSW in the more progression and less progression groups were 0.94 ± 0.32 and 0.22 ± 0.21 mm (mean ± SD), respectively. There was no difference in cartilage status between the groups at meniscectomy or LMAT; however, changes between time points were significant on the lateral femoral condyle and lateral tibial plateau. Clinically, there were significant differences in weight, BMI, and meniscal deficiency period between the 2 groups. Postoperative Lysholm scores increased as compared with the preoperative scores, but there was no difference among the postoperative time points. In the univariate logistic regression risk analysis, weight, BMI, meniscal deficiency period, and the difference in cartilage status between time points for the lateral femoral condyle and lateral tibial plateau were identified as significant. In the subsequent multivariate logistic regression, BMI (odds ratio, 1.45; P = .016) and meniscal deficiency period (odds ratio, 1.21; P = .037) were the statistically significant factors. Conclusion: BMI and meniscal deficiency period were preoperative risk factors for JSW narrowing after LMAT. This suggests that the meniscal deficiency period from meniscectomy to LMAT may be shortened and that proper weight management can lead to successful LMAT.

scholarly journals Preoperative risk factors for postoperative blood transfusion after hip fracture surgery: establishment of a nomogram

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Fu Cheng Bian ◽  
Xiao Kang Cheng ◽  
Yong Sheng An
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Blood Transfusion ◽  
Multivariate Logistic Regression ◽  
Preoperative Risk ◽  
Hip Fracture Surgery ◽  
Preoperative Risk Factors ◽  
Independent Risk Factors ◽  
Fracture Surgery

Abstract Background This study aimed to explore the preoperative risk factors related to blood transfusion after hip fracture operations and to establish a nomogram prediction model. The application of this model will likely reduce unnecessary transfusions and avoid wasting blood products. Methods This was a retrospective analysis of all patients undergoing hip fracture surgery from January 2013 to January 2020. Univariate and multivariate logistic regression analyses were used to evaluate the association between preoperative risk factors and blood transfusion after hip fracture operations. Finally, the risk factors obtained from the multivariate regression analysis were used to establish the nomogram model. The validation of the nomogram was assessed by the concordance index (C-index), the receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curves. Results A total of 820 patients were included in the present study for evaluation. Multivariate logistic regression analysis demonstrated that low preoperative hemoglobin (Hb), general anesthesia (GA), non-use of tranexamic acid (TXA), and older age were independent risk factors for blood transfusion after hip fracture operation. The C-index of this model was 0.86 (95% CI, 0.83–0.89). Internal validation proved the nomogram model’s adequacy and accuracy, and the results showed that the predicted value agreed well with the actual values. Conclusions A nomogram model was developed based on independent risk factors for blood transfusion after hip fracture surgery. Preoperative intervention can effectively reduce the incidence of blood transfusion after hip fracture operations.

Sign in / Sign up

Export Citation Format

Share Document