scholarly journals Chronic pain after breast surgery: incidence, associated factors, and impact on quality of life, an observational prospective study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè-Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods Women aged 18+ undergoing oncological or reconstructive breast surgery from Jan until Apr 2018 at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was measured at 0 h, 3 h, 6 h, 12 h, 24 h, 48 h, and 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results Among the 307 patients considered in this study, the incidence of CPBS was 28% [95% CI 23.1–33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95% CI], 2.99 [1.13–7.87], p = 0.03), preoperative use of pain medications (OR [95% CI], 2.04 [1.20–3.46], p = 0.01), and higher dynamic NRS values at 6 h postoperatively (OR [95% CI], 1.28 [1.05–1.55], p = 0.01) were all independent predictors for CPBS. Conclusions Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for pre-existing chronic pain, axillary surgery, and higher dynamic NRS values at 6 h postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation. Trial registration ClinicalTrials.gov registration NCT04309929.

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2020 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Adult female patients scheduled for oncological or reconstructive breast surgery at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was evaluated at 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of CPBS was 28% [95%CI 23.1%-33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for preexisting chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation.Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2021 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Women aged 18+ undergoing oncological or reconstructive breast surgery from Jan until Apr 2018 at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was measured at 0hrs, 3hrs, 6hrs, 12hrs, 24hrs, 48hrs, and 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of CPBS was 28% [95%CI 23.1%-33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for pre-existing chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation.Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2020 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Adult female patients scheduled for oncological or reconstructive breast surgery at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was evaluated at 2 months (“pain becoming chronic”) and at 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of “pain becoming chronic” was 25.4% [95%CI 20.6%-30.7%], while that of CPBS was 28% [95%CI 23.1%-33.4%]. The presence of pain at 2 months concords with the presence of CPBS at 3 months (Cohen k coefficient 0.63, IC95% 0.54-0.73). Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. The presence of early pain at 2 months after surgery concords with the occurrence of CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicization. In our cohort, long-term use of analgesics for preexisting chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Chronic Pain After Breast Surgery: Incidence, Associated Factors and Impact on Quality of Life, an Observational Prospective Study

2020 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Persistent Pain ◽  
Axillary Surgery ◽  
Increased Risk ◽  
The Impact

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health conditions. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence of and the risk factors for CPBS. The aim of this prospective, observational study is to describe incidence of and risk factors for CPBS, defined in accordance with the IASP taskforce. The impact of CPBS on patients’ daily functions is also described. Methods. Adult female patients scheduled for oncological or reconstructive breast surgery at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Persistent postoperative pain was evaluated at 2 months (“pain becoming chronic”) and at 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of “pain becoming chronic” was 25.4% [95%CI 20.6%-30.7%], while that of CPBS was 28% [95%CI 23.1%-33.4%]. The presence of persistent pain at 2 months concords with the presence of CPBS at 3 months (Cohen k coefficient 0.63, IC95% 0.54-0.73). Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. The presence of an earlier form of persistent pain at 2 months after surgery concords with the occurrence of CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicization. In our cohort, long-term use of analgesics for preexisting chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Study on the relationship of depression, anxiety, lifestyle and eating habits to the severity of reflux esophagitis

2020 ◽  
Author(s):  
Rongxin Wang ◽  
Jing Wang ◽  
Shuiqing Hu
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Reflux Esophagitis ◽  
Eating Habits ◽  
Positive Correlation ◽  
Independent Risk Factors

Abstract Background: The etiology of reflux esophagitis (RE) is multi-factorial. This study aims to analyze the risk factors of the RE, its severity and further explore the impact of anxiety and depression on the patients' symptoms and quality of life. Methods: From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in the survey. They were divided into RE group (patients diagnosed as RE on gastroscopy, n = 361) and control group (healthy individuals without heartburn, regurgitation and other typical symptoms, n = 328). The survey included general demographic data, lifestyle habits, eating habits, GERD questionnaire (GerdQ), PHQ-9 depression scale and GAD-7 anxiety scale. Results: The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis showed that low education level, drinking strong tea, preference for sweets and acidic foods, overeating, short interval between dinner and sleep, anxiety, depression, sleeping on low pillow and constipation were independent risk factors for RE (p< 0.05). Ordinal logistic regression analysis showed positive correlation between sleeping on low pillow and the severity of RE (p=0.024). Depression had positive correlation with the severity of symptoms (rs=0.375，P<0.001) and the quality of life (rs=0.306，P<0.001), whereas anxiety had no such association. Conclusions: Many lifestyle and eating habits are independent risk factors for the development of RE. Sleeping on low pillow was positively correlated with the severity of RE. Depression was positively related to the severity of symptoms and the quality of life.

scholarly journals Study on the relationship of depression, anxiety, lifestyle and eating habits with the severity of reflux esophagitis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rongxin Wang ◽  
Jing Wang ◽  
Shuiqing Hu
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Reflux Esophagitis ◽  
Eating Habits ◽  
Positive Correlation ◽  
Relationship Of ◽  
The Relationship

Abstract Background The etiology of reflux esophagitis (RE) is multi-factorial. This study analyzed the relationship of depression, anxiety, lifestyle and eating habits with RE and its severity and further explored the impact of anxiety and depression on patients’ symptoms and quality of life. Methods From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in this survey. They were divided into the RE group (patients diagnosed with RE on gastroscopy, n = 361) and the control group (healthy individuals without heartburn, regurgitation and other gastrointestinal symptoms, n = 328). The survey included general demographic information, lifestyle habits, eating habits, comorbidities, current medications, the gastroesophageal reflux disease (GERD) questionnaire (GerdQ), the Patient Health Questionnaire-9 depression scale and the General Anxiety Disorder-7 anxiety scale. Results The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. Ordinal logistic regression analysis revealed a positive correlation between sleeping on a low pillow and RE severity (p = 0.025). Depression had a positive correlation with the severity of symptoms (rs = 0.375, p < 0.001) and patients’ quality of life (rs = 0.306, p < 0.001), whereas anxiety showed no such association. Conclusions Many lifestyle factors and eating habits were correlated with the onset of RE. Notably, sleeping on a low pillow was positively correlated with RE severity, and depression was positively related to the severity of symptoms and patients’ quality of life.

scholarly journals Investigating Factors Associated with Depressive Symptoms of Chronic Kidney Diseases in China with Type 2 Diabetes

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Xu Wang ◽  
Biyu Shen ◽  
Xun Zhuang ◽  
Xueqin Wang ◽  
Weiqun Weng
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Kidney Diseases ◽  
Chronic Kidney Diseases ◽  
Factors Associated

Aim.To assess the depressive symptoms status of chronic kidney diseases in Nantong, China, with type 2 diabetes and to identify factors associated with depressive symptoms.Methods.In this cross-sectional analytic study, 210 type 2 diabetic patients were recruited from the Second Affiliated Hospital of Nantong University. Depressive symptoms were assessed with the depression subscale of the Hospital Anxiety and Depression Scale (HAD-D). The quality of life was measured with the RAND 36-Item Health Survey (SF-36). And the independent risk factors of depressive symptoms were assessed by using a stepwise forward model of logistic regression analysis.Results.The mean age of the study subjects was 57.66 years (SD: 11.68). Approximately 21.4% of subjects reported depressive symptoms (n=45). Forward stepwise logistic regression analysis showed that female gender (P=0.010), hypertension (P=0.022), Stage IV (P=0.003), and Stage V (P<0.001) were significant risk factors for depressive symptoms. The quality of life of individuals with HAD-D score <11 was significantly better compared with individuals with HAD-D score ≥ 11.Conclusions.These results indicate that clinicians should be aware that female patients with chronic kidney diseases with T2DM in their late stage with hypertension are at a marked increased risk of depressive symptoms. Providing optimal care for the psychological health of this population is vital.

scholarly journals Factors associated with depression in the patients with diabetes mellitus type 2

2019 ◽  
Vol 76 (11) ◽  
pp. 1178-1183 ◽  
Author(s):  
Admir Sabanovic ◽  
Natasa Maksimovic ◽  
Mirjana Stojanovic-Tasic ◽  
Marijan Bakic ◽  
Anita Grgurevic
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Diabetes Mellitus Type 2 ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Factors Associated

Background/Aim. The assessment of association of depression and diabetes mellitus type 2 using the Patient Health Questionaire (PHQ-9) has not been done in Montenegro. The aim of this study was to assess the prevalence of depression in the patients with type 2 diabetes mellitus, and to identify the risk factors associated with the presence of depression. Methods. A cross-sectional study was conducted at the General Hospital in Bijelo Polje, from July to September, 2015. It included 70 patients over 35 years of age with the diagnosis of diabetes for at least six months. For the assessment of depression presence and intensity PHQ?9 was used. All variables associated with the presence of depression at a significance level of p < 0.05 were included into the final method of the multivariate logistic regression analysis. Results. Comorbidities were statistically significant more frequent among patients with depression (?2 = 5.40; p = 0.020). Duration of diabetes over five years was significantly associated with depression (?2 = 12.48; p < 0.001). Depression occurred more frequently among physically inactive subjects (?2 = 10.74; p = 0.005). The presence of diabetic polyneuropathy (?2 = 6.04; p = 0.014) and cataract (?2 = 5.351; p = 0.021) were also significantly associated with depression. A multivariate logistic regression analysis showed that the duration of diabetes over five years and presence of cataract were independently associated with depression. Conclusion. The risk factors for depression among the subjects with diabetes were disease duration more than five years and the presence of cataract. Since depression is a serious disease and can be a risk factor for many chronic diseases, the best way of prevention is its early detection and treatment.

scholarly journals Seroprevalence and Risk Factors ofChlamydia abortusInfection in Tibetan Sheep in Gansu Province, Northwest China

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Si-Yuan Qin ◽  
Ming-Yang Yin ◽  
Wei Cong ◽  
Dong-Hui Zhou ◽  
Xiao-Xuan Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Northwest China ◽  
Gansu Province ◽  
Factors Associated ◽  
Tibetan Sheep ◽  
Different Seasons

Chlamydia abortus, an important pathogen in a variety of animals, is associated with abortion in sheep. In the present study, 1732 blood samples, collected from Tibetan sheep between June 2013 and April 2014, were examined by the indirect hemagglutination (IHA) test, aiming to evaluate the seroprevalence and risk factors ofC. abortusinfection in Tibetan sheep. 323 of 1732 (18.65%) samples were seropositive forC. abortusantibodies at the cut-off of 1 : 16. A multivariate logistic regression analysis was used to evaluate the risk factors associated with seroprevalence, which could provide foundation to prevent and controlC. abortusinfection in Tibetan sheep. Gender of Tibetan sheep was left out of the final model because it is not significant in the logistic regression analysis (P>0.05). Region, season, and age were considered as major risk factors associated withC. abortusinfection in Tibetan sheep. Our study revealed a widespread and high prevalence ofC. abortusinfection in Tibetan sheep in Gansu province, northwest China, with higher exposure risk in different seasons and ages and distinct geographical distribution.

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