Predictive Factors for Agitation Severity of Hyperactive Delirium in Terminally Ill Cancer Patients in a General Hospital Using Ordered Logistic Regression Analysis

2013 ◽  
Vol 16 (9) ◽  
pp. 1020-1025 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Yutaka Hatano ◽  
Yuzuru Hata ◽  
Tatsuya Morita ◽  
Kenji Fukui ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Patients ◽  
General Hospital ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Terminally Ill ◽  
Terminally Ill Cancer Patients ◽  
Ordered Logistic Regression

Predictive Factors for Postherpetic Neuralgia Using Ordered Logistic Regression Analysis

2012 ◽  
Vol 28 (8) ◽  
pp. 712-714 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Keiko Onishi ◽  
Keita Fukazawa ◽  
Kousuke Okamoto ◽  
Hiroshi Ueno ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Postherpetic Neuralgia ◽  
Ordered Logistic Regression

scholarly journals Predictors for Development of Oxaliplatin-induced Peripheral Neuropathy in Cancer Patients as Determined by Ordered Logistic Regression Analysis

2021 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Takeshi Ishikawa ◽  
Yoshiaki Kuriu ◽  
Yusuke Tabuchi ◽  
Eigo Otsuji ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Cancer Patients ◽  
Logistic Regression Analysis ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Ordered Logistic Regression ◽  
Number Of Cycles ◽  
Significant Factors

Abstract Purpose This retrospective study aimed to identify predictors for the development of oxaliplatin-induced peripheral neuropathy (OXAIPN). Methods Between January 2017 and March 2021, a total 322 cancer patients at our hospital who were receiving oxaliplatin were enrolled. For the regression analysis of factors associated with oxaliplatin-induced peripheral neuropathy, variables were extracted manually from medical charts. The level of OXAIPN was evaluated using the National Cancer Institute’s Common Terminology Criteria for Adverse Events (version 5). Multivariate ordered logistic regression analysis was performed to identify predictors for the development of OXAIPN. Optimal cut-off thresholds were determined using receiver operating characteristic (ROC) analysis. Values of P <0.05 (2-tailed) were considered significant. Results Significant factors identified included body mass index (BMI) (odds ratio [OR] = 1.06, 95% confidence interval [CI] = 1.00–1.12; P = 0.046), number of cycles (OR = 1.09, 95%CI = 1.05–1.14; P <0.0001), S-1 plus oxaliplatin (SOX) regimen (OR = 0.54, 95%CI = 0.32–0.92; P = 0.023), concomitant use of proton pump inhibitors (PPIs) (OR = 1.64, 95%CI = 1.05–2.58; P = 0.031) and concomitant use of analgesic adjuvant (OR = 3.30, 95%CI = 1.09–9.97; P = 0.035). Conclusion BMI, number of cycles, SOX regimen, concomitant use of PPIs and concomitant use of analgesic drugs were identified as significant predictors for the development of OXAIPN.

Predictive factors for taxane acute pain syndrome determined by ordered logistic regression analysis

2018 ◽  
Vol 27 (7) ◽  
pp. 2673-2677 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Kouichi Sakaguchi ◽  
Katsuhiko Nakatsukasa ◽  
Yoshimi Ouchi ◽  
Yusuke Tabuchi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Acute Pain ◽  
Pain Syndrome ◽  
Ordered Logistic Regression

scholarly journals Predictors for development of palbociclib-induced neutropenia in breast cancer patients as determined by ordered logistic regression analysis

2021 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Koichi Sakaguchi ◽  
Takeshi Ishikawa ◽  
Koichi Takayama ◽  
Tetsuya Taguchi
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Logistic Regression Analysis ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Breast Cancer Patients ◽  
Ordered Logistic Regression ◽  
Significant Factors

Abstract This retrospective study aimed to identify predictors for the development of palbociclib-induced neutropenia. This study retrospectively analysed 78 breast cancer patients who had received palbociclib at our hospital between January 2018 and May 2020. For the regression analysis of factors associated with palbociclib-induced neutropenia, variables were extracted manually from medical charts. The level of palbociclib-induced neutropenia was evaluated using the National Cancer Institute’s Common Terminology Criteria for Adverse Events (version 5). Multivariate ordered logistic regression analysis was performed to identify predictors for the development of neutropenia. Optimal cut-off thresholds were determined using receiver operating characteristic (ROC) analysis. Values of P < 0.05 (2-tailed) were considered significant. Significant factors identified included concomitant use of statin (odds ratio [OR] = 0.104, 95% confidence interval [CI] = 0.018–0.598; P = 0.011] and body mass index (BMI) (OR = 1.118, 95% CI = 1.007–1.241; P = 0.037). ROC analysis revealed that neutropenia (grade 4) was more likely to occur with a BMI ≥ 22.3 kg/m2. In conclusion, no concomitant use of statins and high BMI were identified as significant predictors for the development of palbociclib-induced neutropenia.

Predictive factors for sorafenib-induced hand–foot skin reaction using ordered logistic regression analysis

2016 ◽  
Vol 73 (1) ◽  
pp. e18-e23 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Toyoshi Hosokawa ◽  
Kohichiroh Yasui ◽  
Fumiya Hongo ◽  
Kanji Yamaguchi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Skin Reaction ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Ordered Logistic Regression ◽  
Hand Foot Skin Reaction

scholarly journals Predictors for development of palbociclib-induced neutropenia in breast cancer patients as determined by ordered logistic regression analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuko Kanbayashi ◽  
Koichi Sakaguchi ◽  
Takeshi Ishikawa ◽  
Koichi Takayama ◽  
Tetsuya Taguchi
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Logistic Regression Analysis ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Breast Cancer Patients ◽  
Ordered Logistic Regression ◽  
Significant Factors

AbstractThis retrospective study aimed to identify predictors for the development of palbociclib-induced neutropenia. This study retrospectively analysed 78 breast cancer patients who had received palbociclib at our hospital between January 2018 and May 2020. For the regression analysis of factors associated with palbociclib-induced neutropenia, variables were extracted manually from medical charts. The level of palbociclib-induced neutropenia was evaluated using the National Cancer Institute’s Common Terminology Criteria for Adverse Events (version 5). Multivariate ordered logistic regression analysis was performed to identify predictors for the development of neutropenia. Optimal cut-off thresholds were determined using receiver operating characteristic (ROC) analysis. Values of P < 0.05 (2-tailed) were considered significant. Significant factors identified included concomitant use of statin (odds ratio [OR] = 0.104, 95% confidence interval [CI] = 0.018–0.598; P = 0.011) and body mass index (BMI) (OR = 1.118, 95% CI = 1.007–1.241; P = 0.037). ROC analysis revealed that neutropenia (grade 4) was more likely to occur with a BMI ≥ 22.3 kg/m2. In conclusion, no concomitant use of statins and high BMI were identified as significant predictors for the development of palbociclib-induced neutropenia.

scholarly journals Predictors for development of denosumab-induced hypocalcaemia in cancer patients with bone metastases determined by ordered logistic regression analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuko Kanbayashi ◽  
Koichi Sakaguchi ◽  
Fumiya Hongo ◽  
Takeshi Ishikawa ◽  
Yusuke Tabuchi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Serum Calcium ◽  
Logistic Regression Analysis ◽  
Advanced Cancer Patients ◽  
Roc Curve Analysis ◽  
Ordered Logistic Regression ◽  
Pre Treatment ◽  
Clinical Records

AbstractThis retrospective study was undertaken to identify predictors for the development of hypocalcaemia even with prophylactic administration of calcium and vitamin D, and to help guide future strategies to improve the safety, efficacy, and QOL of patients receiving denosumab. Between January 2016 and February 2020, a total of 327 advanced cancer patients at our hospital who were receiving denosumab were enrolled. Variables associated with the development of hypocalcaemia were extracted from the clinical records. The level of hypocalcaemia was evaluated using CTCAE version 5. Multivariate ordered logistic regression analysis was performed to identify predictors for the development of hypocalcaemia. Optimal cut off thresholds were determined using ROC analysis. Values of P < 0.05 (2-tailed) were considered significant. 54 patients have developed hypocalcemia (≥ Grade 1). Significant factors identified included concomitant use of vonoprazan [odds ratio (OR) = 3.74, 95% confidence interval (CI) 1.14–12.26; P = 0.030], dexamethasone (OR = 2.45, 95%CI 1.14–5.42; P = 0.022), pre-treatment levels of serum calcium (OR = 0.27, 95%CI 0.13–0.54; P < 0.001), ALP/100 (OR = 1.04, 95%CI 1.01–1.07; P = 0.003), and haemoglobin (OR = 0.79, 95%CI 0.68–0.93; P = 0.004). ROC curve analysis revealed that the threshold for pre-treatment levels of serum calcium was ≤ 9.3 mg/dL, ALP was ≥ 457 U/L, and haemoglobin was ≤ 10.4 g/dL. In conclusion, concomitant use of vonoprazan or dexamethasone, and pre-treatment levels of serum calcium (low), ALP (high) and haemoglobin (low) were identified as significant predictors for the development of denosumab-induced hypocalcaemia.

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