scholarly journals Multivariate analysis of preoperative risk factors for prolonged operating time in laparoscopic liver resection

HPB ◽  
2019 ◽  
Vol 21 ◽  
pp. S621
Author(s):  
A. Sultana ◽  
R.P. Sutcliffe ◽  
K.J. Roberts ◽  
P. Muiesan ◽  
P. Nightingale ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Liver Resection ◽  
Laparoscopic Liver Resection ◽  
Operating Time ◽  
Preoperative Risk ◽  
Preoperative Risk Factors

scholarly journals Multivariate analysis of preoperative risk factors for prolonged operating time in laparoscopic liver resection

HPB ◽  
2019 ◽  
Vol 21 ◽  
pp. S973-S974
Author(s):  
A. Sultana ◽  
R.P. Sutcliffe ◽  
K.J. Roberts ◽  
P. Muiesan ◽  
P. Nightingale ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Liver Resection ◽  
Laparoscopic Liver Resection ◽  
Operating Time ◽  
Preoperative Risk ◽  
Preoperative Risk Factors

scholarly journals Impact of Intraoperative Gravity-Dependent Atelectasis Following Laparoscopic Liver Resection Performed in the Lateral Position

2021 ◽  
Author(s):  
Ryoichi Miyamoto ◽  
Toshiro Ogura ◽  
Amane Takahashi ◽  
Akifumi Kimura ◽  
Shinichi Matsudaira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Liver Resection ◽  
Postoperative Complications ◽  
Laparoscopic Liver Resection ◽  
Operating Time ◽  
Multivariate Logistic Regression Analysis ◽  
Lateral Position ◽  
Cancer Center ◽  
Related Factors ◽  
Left Half

Abstract Purpose Laparoscopic liver resection (LLR) is currently an accepted approach for liver surgery in select patients. The correlation between the intraoperative position and the presence of gravity-dependent atelectasis (GDA) has been well discussed. However, LLR is performed in the left half lateral position, and the relationship between this position and the presence of GDA remains unclear. We evaluated the extent to which the intraoperative left half lateral position affects the presence of GDA. Furthermore, univariate and multivariate analyses were performed to identify potential risk factors for LLR postoperative complications with a special emphasis on the presence of GDA by comparing various patient-, liver- and surgery-related factors in a retrospective cohort. Methods We retrospectively evaluated 129 patients who underwent LLR in the left half lateral position at the Saitama Cancer Center in Saitama, Japan between March 2011 and July 2020. The frequency and duration of GDA were investigated. We divided the cohort into with GDA and without GDA groups based on a cutoff value (≥ 5 days, n = 61 and < 5 days, n = 68, respectively). Using multivariate analysis, the duration of GDA and several risk factors for LLR postoperative complications were independently assessed. Results Postoperative GDA was observed in 61 patients (47%) and lasted for 1 to 8 days in these patients. The mean duration of GDA was 4.3 days. Multivariate logistic regression analysis revealed a GDA duration of 5 days or more (odds ratio [OR], 2.03; p = 0.001) and an operating time > 388 minutes (OR, 5.31; p < 0.001) to be independent risk factors for LLR postoperative complications. Conclusions The incidence and duration of postoperative GDA are considered useful predictors of postoperative complications, and these predictors should be assessed to improve the short-term outcomes of patients undergoing LLR.

Multivariate analysis of risk factors for postoperative complications after laparoscopic liver resection

2014 ◽  
Vol 29 (9) ◽  
pp. 2538-2544 ◽  
Author(s):  
Hadrien Tranchart ◽  
Martin Gaillard ◽  
Mircea Chirica ◽  
Stefano Ferretti ◽  
Gabriel Perlemuter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Liver Resection ◽  
Postoperative Complications ◽  
Laparoscopic Liver Resection

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.

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