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 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

Risk Factors for Silent Cerebral Infarcts in a Pediatric Sickle Cell Anemia (SCA) Cohort

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2487-2487 ◽  
Author(s):  
Francoise Bernaudin ◽  
Suzanne Verlhac ◽  
Annie Kamdem ◽  
Cécile Arnaud ◽  
Lena Coïc ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
G6pd Deficiency ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
History Of ◽  
Independent Risk Factors

Abstract Background Silent infarcts are associated with impaired cognitive functioning and have been shown to be predictors of stroke (Miller ST J Pediatr 2001). Until now, reported risk factors for silent infarcts were low pain event rate, history of seizures, high leukocyte count and Sen bS haplotype (Kinney TR Pediatrics 1999). Here, we seek to define the prevalence and risk factors of silent infarcts in the Créteil SCA pediatric cohort comprising patients assessed at least yearly by transcranial doppler (TCD) since 1992, and by MRI/MRA. Methods This study retrospectively analyzed data from the Créteil cohort stroke-free SS/Sb0 children (280; 134 F, 146 M), according to institutional review board. Time-averaged mean of maximum velocities higher than 200 cm/sec were considered as abnormal, resulting in initiation of a transfusion program (TP). A switch to hydroxyurea was proposed to patients with normalized velocities (&lt; 170 cm/sec) and normal MRA on TP, although TP was re-initiated in case of abnormal velocities recurrence. Patients with “conditional” velocities (170–199 cm/sec) were assessed by TCD 4 times yearly. Alpha genes and beta-globin haplotypes were determined. Baseline biological parameters (G6PD activity; WBC, PMN, Reticulocytes, Platelets counts; Hemoglobin, Hematocrit, HbF, LDH levels; MCV; SpO2) were obtained a minimum of 3 months away from a transfusion, one month from a painful episode, after 12 months of age, before the first TCD, and always before therapy intensification. Results. Patients were followed for a total of 2139 patient-years. Alpha-Thal was present in 114/254 patients (45%) and 27/241 (11.2%) had G6PD deficiency. Beta genotype, available in 240 patients, was BaBa in 102 (42.5%), BeBe in 54 (22.5%), SeSe in 19 (7.9%) and “other” in 65 (27.1%); TCD was abnormal in 52 of 280 patients (18.6%). MRA showed stenoses in 30 of 226 evaluated patients (13.3%) while MRI demonstrated presence of silent infarcts in 81/280 patients (28.9%). Abnormal TCD (p&lt;0.001), G6PD deficiency (p=0.008), high LDH (p=0.03), and low Hb (p=0.026) were significant risk factors for stenoses by univariate analysis while multivariate analysis retained only abnormal TCD as a significant risk factor for stenoses ([OR= 10.6, 95% CI (4.6–24.4)]; p&lt;0.001). Univariate logistic regression analysis showed that the risk of silent infarcts was not related to alpha-Thal, beta genotype, abnormal TCD, WBC, PMN, platelets, reticulocyte counts, MCV, LDH level, HbF %, pain or ACS rates but was significantly associated with stenoses detected by MRA (p&lt;0.001), gender (male; p=0.04), G6PD deficiency (p=0.05), low Hb (p=0.016) and Hct (p=0.012). Multivariate logistic regression analysis showed that gender ([OR= 2.1, 95% CI (1.03–4.27)]; p=0.042), low Hb ([OR= 1.4, 95% CI (1.0–1.1)]; p=0.05) and stenoses ([OR= 4.8, 95% CI (1.88–12.28)]; p=0.001) were all significant independent risk factors for silent infarcts. The presence of stenoses was the only significant risk factor for silent infarcts in patients with a history of abnormal TCD ([OR= 5.9, 95% CI (1.6–21.7)]; p=0.008). Conclusion We recently showed that G6PD deficiency, absence of alpha-Thal, and hemolysis are independent significant risk factors for abnormal TCD in stroke-free SCA patients (Bernaudin et al, Blood, 2008, in press). Here, we report that an abnormal TCD is the most significant risk factor for stenoses and, expanding previous studies, we demonstrate that stenoses, low Hb and gender are significant independent risk factors for silent infarcts.

scholarly journals Association of Biomarkers Related to Preoperative Inflammatory and Coagulation with Postoperative In-Hospital Deaths in Patients with Type A Acute Aortic Dissection

2021 ◽  
Author(s):  
Ming Li ◽  
Haifeng Sun ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Multivariate Logistic Regression Analysis ◽  
Type A ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background: The aim of this study was to analyze the predictive value of biomarkers related to preoperative inflammatory and coagulation in the prognosis of patients with type A acute aortic dissection (AAD). Methods: A total of 206 patients with type A AAD who had received surgical treatment were enrolled. Patients were divided into two groups according to whether they died during hospitalization. Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) between the two groups were compared. Univariate and multivariate logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of D-dimer, FIB, PLT, WBC, NEU and CRP in the prognosis of the patients. Results: Univariate logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariate logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for in-hospital deaths of patients with type A AAD. ROC curve analysis indicated that FIB+PLT combination is provided with the highest predictive value for in-hospital deaths.Conclusion: Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the prognosis of such patients. Combined use of FIB and PLT may improve the accuracy and accessibility of clinical prognostic assessment.

scholarly journals Diabetes and Younger Age Are Vital and Independent Risk Factors for Acute Pancreatitis in Patients with Severe Hypertriglyceridemia

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Qiang Li ◽  
Chaoqun Hou ◽  
Yunpeng Peng ◽  
Xiaole Zhu ◽  
Chenyuan Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Severe Hypertriglyceridemia ◽  
Younger Age ◽  
History Of ◽  
Independent Risk Factors

Background. The incidence of hypertriglyceridemia-induced acute pancreatitis (HIAP) is increasing worldwide, and now it is the third leading cause of acute pancreatitis in the United States. But, there are only 5% of patients with severe hypertriglyceridemia (>1000 mg/dl) which might generate acute pancreatitis. In order to explore which part of the patients is easy to develop into pancreatitis, a case-control study was performed by us to consider which patient population tend to develop acute pancreatitis in patients with severe hypertriglyceridemia. To perform a retrospective case-control study, we identified severe hypertriglyceridemia patients without AP (HNAP) and with HIAP with a fasting triglyceride level of >1000 mg/dl from The First Affiliated Hospital of Nanjing Medical University during January 1, 2014, to December 31, 2016. Baseline patient characteristics, comorbidities, and risk factors were recorded and evaluated by the univariate and multivariate logistic regression analysis for HIAP and HNAP patients. A total of 124 patients with severe hypertriglyceridemia were included in this study; of which, 62 patients were in the HIAP group and 62 were in the HNAP group. Univariate logistic regression analysis showed that there was no gender difference in both groups; however, there were more younger patients in the HIAP group than in the HNAP group (P value < 0.001), and the HIAP group had low level of high-density lipoprotein compared to the HNAP group (P<0.05). Meanwhile, the presence of pancreatitis was associated with higher level of glycemia and a history of diabetes (P<0.05). Multivariate logistic regression analysis indicated that a history of diabetes and younger age were independent risk factors for acute pancreatitis in patients with severe hypertriglyceridemia. Uncontrolled diabetes and younger age are potential risk factors in patients with severe hypertriglyceridemia to develop acute pancreatitis.

Increased pretreatment C-reactive protein-to-albumin ratio predicts severe coronavirus disease 2019

2020 ◽  
Author(s):  
Xiaoyue Wang ◽  
Yan Xu ◽  
Huang Huang ◽  
Desheng Jiang ◽  
Chunlei Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Early Warning ◽  
Warning Signs ◽  
C Reactive Protein ◽  
Albumin Ratio ◽  
Reactive Protein ◽  
Independent Risk Factors

Abstract Objective The aim of this study was to identify early warning signs for severe coronavirus disease 2019 (COVID-19). Methods We retrospectively analysed the clinical data of 90 patients with COVID-19 from Guanggu District of Hubei Women and Children Medical and Healthcare Center, comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. The cutoff values were determined by receiver operating characteristic curve analysis. Logistic regression analysis was performed to identify the independent risk factors for severe COVID-19. Results The patients with mild and severe COVID-19 had significant differences in terms of cancer incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), and pretreatment C-reactive protein-to-albumin ratio (CAR) ( P =0.000; P =0.008; P=0.000; P =0.000). The severity of COVID-19 was positively correlated with comorbid cancer, age, NLR, and CAR ( P <0.005). Multivariate logistic regression analysis showed that age, the NLR and the CAR were independent risk factors for severe COVID-19 (OR=1.086, P =0.008; OR=1.512, P =0.007; OR=17.652, P =0.001). Conclusion An increased CAR can serve as an early warning sign of severe COVID-19 in conjunction with the NLR and age.

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