Tìm thấy 18+ kết quả cho từ khóa "Multivariate logistic regression analysis"
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On multivariate analysis, they indicated that general anesthesia and regular use of renin-angiotensin system inhibitors were associated with an increased risk of ALA-induced hypotension [12]. Chung et al. Table 2 Multivariate logistic regression analysis between the study groups to identify risk factors for ALA-induced hypotension.. Branches of the explanatory variables employed in the decision tree model are called nodes. However, Chung et al..
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By using multivariate logistic regression analysis, it was found that VE @ AT (L/min) (OR 1.162, P = 0.024) and VO 2 @ peak (mL/kg/min) (OR 0.633, P = 0.026) were independent predictors for the severe CTEPH. Multivariate logistic regression was used to estab- lish a prediction model for predicting severe CTEPH:. VE @ AT (L/.
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Then, multivariate logistic regression analysis demonstrated that age, bone cement dosage, bone cement leakage, bone cement dis- persion, contact between bone cement and endplate, and anti-osteoporosis treatment were independent predictors of postoperative VCFs following PVP/PKP (Table 2). In addition, Table 2 shows the intercept, βcoefficient and odds ratio of the multivariate logistic regression analysis..
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The increased cervical spinal cord area was also measured before and after surgery, and the correlation between the above indicators and the increased cer‑. vical spinal cord area was studied through Pearson’s correlation analysis and multivariate logistic regression analysis..
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On the other hand, if patients with val- vular disease have low blood pressure, local anesthesia is Table 3 Multivariate logistic regression analysis of variables. significantly associated with heart valvular disease. Table 4 Multivariate logistic regression analysis of postoperative complications significantly associated with heart valvular disease. Compared with valvular disease, AS had fewer post- operative complications.
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Univariate and multivariate logistic regression analysis showed that the ILD-GAP score, RVD, RVGLS, and LUS score were independently correlated with poor prognosis in patients with ILD (Table 3). Receiver operating charac- teristic (ROC) analysis of the incremental value of com- bining cardiopulmonary ultrasound parameters with the ILD-GAP score for risk assessment revealed two optimal models.
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Table 3 Risk factors for nivolumab-induced pneumonitis in patients with solid tumors by univariate and multivariate logistic regression analysis. HNC/GC . Pre-existing ILD Yes vs. Moreover, in our previous report, patients with anti-PD- 1-induced pneumonitis had relatively favorable survival outcomes [7].
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These changes lead to the development of cancer-related syndromes Table 2 Univariate analysis for grade 3 mucositis in patients receiving radiotherapy for pharyngeal or laryngeal cancer. Table 3 Multivariate logistic regression analysis for grade 3 mucositis in patients receiving radiotherapy for pharyngeal or laryngeal cancer.
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Based on multivariate logistic regression analysis, age ≥ 50 years, uterus-related laparoscopic surgery, and lack of additional analgesics were independent predictors of moderate or severe CRBD.. Conclusions: This observational study revealed that the incidence of CRBD after gynaecological surgery in PACU was very high. Age ≥ 50 years, uterus-related laparoscopic surgery, and lack of additional analgesics were independent predictors of CRBD..
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Vagotomy associated with PONV in the multivariate logistic regression model. To further examine the potential role of vagus nerve in PONV, we performed multivariate logistic regression analysis with factors associated with PONV in entire cohort (Table 2). As expected, gender is one of risk fac- tors of PONV as male patients had an OR value of CI as compared with females.
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Multivariable logistic regression model for predictors of pneumothorax in all patients studied. Multivariate logistic regression analysis was used to identify the independent predictor of pneumothorax (Table 5). Lower location of lesion sampled and presence of emphysema were identified to be independent predic- tors of pneumothorax after CT-guided PCNB (P = 0.021 and P respectively).
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Multivariate Logistic regression models were used to analyze the association between preoperative hypoalbuminemia and postoperative AKI.. AKI incidence was higher in patients with preoperative serum albumin <. 37.5 g/L than in those with preoperative serum albumin ≥ 37.5 g/L vs. Multivariate logistic regression analysis showed that preoperative serum albumin <. 37.5 g/L (odds ratio 1.892. P = 0.003) was independently associated with postoperative AKI..
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Univariate and multivariate logistic regression analysis were used to identify significant independent prognostic factors, which were used to construct nomograms of overall and cancer-specific early death. Among them patients had early death, and cases died of lung cancer.
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In the multivariate logistic regression analysis model, some related factors, such as age, sex, BMI, hyperten- sion, diabetes, anesthetization and postoperative 1st day HGB, were included, which may influence the choice of surgical procedures and the body’s immune response.. 130 min (OR CI P = 0.001) and postoperative 1st day PLR >. 223.9 (OR CI P = 0.025) had a significant association with severe surgery-related trauma (Table 3). 0.001) and postoperative 1st day PLR (cutoff 223.9, AUC: 0.68,
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This was further reinforced by the finding that the cost was increased when patients were extubated in the ICU ((median 3.9, IQR US dollars vs. median Table 5 Multivariate logistic regression analysis to evaluate independent factors for OR extubation.
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In the multivariate logistic regression analysis after adjusting BMI and ages, some characteristics were associated with polymicrobial PJI: the presence of a sinus tract (OR CI, 1.565 to 5.596]. Besides, in the multivariate logistic regres- sion analysis, the adjusted OR of different pathogens was calculated after adjusting the presence of sinus, previous revision, and knee infection. p = 0.017) are the risk factors of polymicrobial PJI.
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Table 2 Multivariate logistic regression analysis for epidural re-siting predictive risk factors based on internal training data. Inability to obtain CSF in the CSE technique (Ref = No).
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What’s more, we carried out sensitivity analysis on the risk prediction model and the predictive ability of the nomogram was fluctuates very little.. Mar- iani et al. Similarly, Pollom et al. However, Bendi- fallah et al. Table 2 Multivariate logistic regression analysis of the LNM. LNM 0.795. 2 Internal calibration of the nomogram to predict LNM. 3 Receiver operating characteristic curves of internal verification corresponding nomogram to predict LNM.
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The association between phosphate levels and ICU 28-day mortality was evaluated by binary logistic regression analysis.. Multivariate logistic regression was employed to predict the ICU 28-day mortality.. Results: The cohort included 946 patients with a median phosphate concentration of 0.77 mmol/L (interquartile range mmol/L). Patients with hypophosphatemia had a higher ICU 28-day mortality than the normal control group (33.3% vs 24.0%, P <.
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Multivariate logistic regression analysis was conducted to determine the inde- pendent predictors for POCD. The test battery scores in the POCD group were significantly lower than those in the non-POCD group (MMSE [P = 0.043], VVLT [P = 0.004], DST1 [P = 0.006], or DST2 [P = 0.019];.