scholarly journals What Are the Significant Factors Affecting Pain in Patients With Hartofilakidis Type I Developmental Dysplasia of the Hip?

2021 ◽  
Author(s):  
Yange Gu ◽  
Wenshu Jin ◽  
Han Zhang ◽  
Zhiwei Shi ◽  
Yaohui Yue ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Femoral Head ◽  
Influencing Factors ◽  
Severe Pain ◽  
Cox Regression ◽  
Developmental Dysplasia ◽  
Type I ◽  
Onset Age ◽  
Cox Regression Analysis ◽  
Unit Increase

Abstract Objective To explore the influencing factors of pain onset age and severe pain in patients with Hartofilakidis type I developmental dysplasia of the hip (DDH). Methods A retrospective study of 83 patients with DDH treated at our hospital from January 2017 to June 2021 was conducted. The pain onset age, patients’ demographic data, and radiographic parameters were collected. Multiple linear regression was used to determine the influencing factors of pain onset age. Cox regression analysis was used to determine the influencing factors of severe pain attacks. Results According to the results of multiple linear regression analysis, when the distance between the medial femoral head and the ilioischial line increased by one unit, the pain onset age decreased by 1.7 years (β = − 1.738, 95% CI: − 1.914–[–1.561], p < 0.001). When the sharp angle increases by one unit, the pain onset age decreases by 0.3 years (β = − 0.334, 95% CI: − 0.496–[–0.171], p < 0.001). According to the results of the Cox regression analysis, for every unit increase of the lateral centre-edge angle (LCEA), the probability of severe pain decreased to 95% of the original (Exp [β]: = 1.090, 95% CI: 0.898–0.999, p = 0.04). For every unit increase in the distance between the medial femoral head and the ilioischial line, the likelihood of severe pain is 2.4 times higher than that of the original (Exp [β]: 2.417, 95% CI: 1.653–3.533, p < 0.001). Conclusion Larger distances between the medial femoral head and the ilioischial line and sharp angle can lead to an earlier pain onset age in patients with DDH. Small LCEA and excessive distance between the medial femoral head and the ilioischial line are risk factors for severe pain.

scholarly journals What are the significant factors affecting pain in patients with Hartofilakidis type Ι developmental dysplasia of the hip?

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yange Gu ◽  
Wenshu Jin ◽  
Han Zhang ◽  
Zhiwei Shi ◽  
Yaohui Yue ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Femoral Head ◽  
Influencing Factors ◽  
Severe Pain ◽  
Cox Regression ◽  
Age At Onset ◽  
Developmental Dysplasia ◽  
Cox Regression Analysis ◽  
Sharp Angle ◽  
Dysplasia Of The Hip

Abstract Objective To explore the influencing factors of age at onset of pain and severe pain in patients with Hartofilakidis type I developmental dysplasia of the hip (DDH). Methods A retrospective study of 83 patients with DDH treated at our hospital from January 2017 to June 2021 was conducted. The age at onset of pain, patients’ demographic data, and radiographic parameters were collected. Multiple linear regression was used to determine the influencing factors of age at onset of pain. Cox regression analysis was used to determine the influencing factors of severe pain attacks. Results According to the results of multiple linear regression analysis, when the distance between the medial femoral head and the ilioischial line increased by one millimetre, the age at onset of pain decreased by 1.7 years (β = − 1.738, 95% CI − 1.914–[− 1.561], p < 0.001). When the sharp angle increases by one degree, the age at onset of pain decreases by 0.3 years (β = − 0.334, 95% CI − 0.496–[− 0.171], p < 0.001). According to the results of the Cox regression analysis, for each additional degree of the lateral centre-edge angle (LCEA), the probability of severe pain was reduced by 5% (Exp [β]: = 0.947, 95% CI 0.898–0.999, p = 0.044). For each additional millimetre in the distance between the medial femoral head and the ilioischial line, the likelihood of severe pain increased by 2.4 times (Exp [β]: 2.417, 95% CI 1.653–3.533, p < 0.001). Conclusion Larger distances between the medial femoral head and the ilioischial line and sharp angle can lead to an earlier age at onset of pain in patients with DDH. Small LCEA and excessive distance between the medial femoral head and the ilioischial line are risk factors for severe pain.

scholarly journals Hepatorenal Syndrome: Outcome of Response to Therapy and Predictors of Survival

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jan Heidemann ◽  
Christoph Bartels ◽  
Christoph Berssenbrügge ◽  
Hartmut Schmidt ◽  
Tobias Meister
Keyword(s):  
Regression Analysis ◽  
Hepatorenal Syndrome ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Meld Score ◽  
Response To Therapy ◽  
Type I ◽  
Duration Of Treatment ◽  
Cox Regression Analysis ◽  
Factors Influencing

Aim. Treatment of hepatorenal syndrome (HRS) in patients with liver cirrhosis is still challenging and characterized by a very high mortality. This study aimed to delineate treatment patterns and clinical outcomes of patients with HRS intravenously treated with terlipressin.Methods. In this retrospective single-center cohort study, 119 patients (median [IQR]; 56.50 [50.75–63.00] years of age) with HRS were included. All patients were treated with terlipressin and human albumin intravenously. Those with response to treatment (n=65) were compared to the patient cohort without improvement (n=54). Patient characteristics and clinical parameters (Child stage, ascites, hepatic encephalopathy, HRS type I/II, and initial MELD score) were retrieved. Univariate analysis of factors influencing the success of terlipressin therapy and Cox regression analysis of factors influencing survival was carried out.Results. One-month survival was significantly longer in the group of responders (p=0.048). Cox regression analysis identified age [Hazard ratio, 95% confidence interval (CI); 1.05, 1.01–1.09, resp.], alcohol abuse [HR 3.05, 95% CI 1.11–8.38], duration of treatment [HR 0.92, 95% CI 0.88–0.96], and MELD score [HR 1.08, 95% CI 1.02–1.14] to be independent predictors of survival.Conclusions. Survival of HRS patients after treatment depends on age, etiology of liver disease, and the duration of treatment.

scholarly journals The Therapeutic Effect of Huo Xue Tong Luo Capsules in Association Research Circulation Osseous (ARCO) Stage II Osteonecrosis of the Femoral Head: A Clinical Study With an Average Follow-up Period of 7.95 Years

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiao-Ming He ◽  
Min-Cong He ◽  
Peng Yang ◽  
Qing-Wen Zhang ◽  
Zhen-Qiu Chen ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Regression Analysis ◽  
Femoral Head ◽  
Treatment Option ◽  
Cox Regression ◽  
Survival Rates ◽  
Stage Ii ◽  
Cox Regression Analysis ◽  
Femoral Head Collapse ◽  
Kaplan Meier

Background: Huo Xue Tong Luo (HXTL) capsules are an oral preparation that could relieve pain and ameliorate osteonecrosis in patients with asymptomatic osteonecrosis of femoral head (ONFH). We wanted to verify whether it could be a treatment option for ARCO stage II ONFH.Methods: A total of 44 patients (66 hips) with ARCO stage II ONFH were recruited from June 1996 to October 2013 (clinical trial registry number: ChiCTR-RPC-15006,290). HXTL capsules were given under a specific protocol, and the endpoint was set as femoral head collapse. The clinical indicators [including visual analog scale (VAS) and Harris Hip Score (HHS)] and radiological indicators [including Tonnis classification, ARCO stage, Japanese Investigation Committee (JIC) classification, lateral preserved angle (LPA), anterior preserved angle (APA), and combined preserved angle (CPA)] before and after treatment were compared. Kaplan–Meier survival analysis and Cox regression analysis were used to identify the risk factors associated with femoral head collapse.Result: Twenty-six males and 18 females with an average age of 38.3 ± 2.8 were followed for an average of 7.95 years. Forty-six of the 66 (69.7%) hips had no progression in pain or collapse, and patients exhibited a higher HHS (p &lt; 0.05) after therapy. Twenty of the 66 (30.3%) hips progressed in Tonnis classification and ARCO stage, but only one of the 66 (1.5%) hips required total hip arthroplasty (THA). The Kaplan–Meier survivorship curve suggested that the survival rates were 96.97% at 5 years, 69.15% at 10 years, and 40.33% at 15 years. Patients with type A necrotic lesions on anteroposterior (AP) and frog-leg lateral (FLL) radiographs revealed 100% survival rates. Multivariate Cox regression analysis revealed that patients with an LPA ≤ 60.9 exhibited a 3.87 times higher risk of collapse of the femoral head [95% confidence interval (CI), 1.241–5.673] than did those patients with an LPA&gt;60.9.Conclusion: HXTL capsules could be a treatment option for ARCO stage II ONFH, resulting in improved hip function and delayed progression to femoral head collapse, especially when the anterior and lateral portions of the femoral head were not affected. However, an LPA of less than 60.9° may be a risk factor for collapse of the femoral head.Clinical Trial Registration: [http://www.chictr.org.cn/showproj.aspx?projZ10829]

Abstract 17312: Incidence of Periprocedural Complications in Patients With Percutaneous Coronary Intervention of Chronic Total Occlusions and Impact of Mortality

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Niya Mileva ◽  
Dobirn Vassilev ◽  
Pavel Nikolov ◽  
Kiril Karamfiloff
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Carotid Artery Disease ◽  
Interventional Cardiology ◽  
Coronary Intervention ◽  
Type I ◽  
Chronic Total Occlusions ◽  
Cox Regression Analysis ◽  
Coronary Perforation

Background: Percutaneous recanalization of coronary chronic total occlusions (CTO) remains one of the biggest challenges in interventional cardiology and is known to be associated with higher complication rate compared to regular coronary angioplasty. The aim of the current study is to explore the frequency and clinical outcomes of patients with procedural complications. Methods: All patients with CTOs were included in prospective registry. CTO was defined as a total obstruction of a coronary artery with thrombolysis in myocardial infarction (TIMI) grade flow of 0 and duration of more than three months. Frequency of periprocedural complications were analyzed and all patients were followed-up for vital status. Results: For the purpose of current analysis we included 595 patients (66±10 years, 78% males) who underwent a total of 661 PCIs of chronic total occlusions. 623 procedures (94.3%) were successful with TIMI 3 final flow. In 10.9% (n=72) of the procedures there was a periprocedural complication defined as: coronary perforation (type I-III) 3.02% (n=20), puncture site haematoma 1.7%(n=11), coronary intramural haematoma 1.5%(n=10), coronary dissection n=5(0.8%). In 4 people (0.6%) there was perforation with formation of haemopericardium (type IV coronary perforation). On logistic regression analysis factors found to be significantly predictive for occurrence of complication were carotid artery disease (OR=4.794, CI: 1.718-13.374, p = 0.038) and renal failure (OR=1.774, CI: 1.060-2.967, p=0.016). At a median follow-up of 31 months (IQR 13-49) the overall death rate was 20.7% (n=123) and was significantly lower in noncomplicated vs complicated group (104/525, 19.8% vs 19/69, 27.5%, log-rank p=0.042). On Cox-regression analysis procedural complication was independent predictor of death (OR= 1.650, CI 1.011- 2.692, p= 0.042). Conclusion: In patients undergoing PCI for CTO the presence of periprocedural complication was independent predictors of mortality and these subjects had higher mortality rate at a median follow-up of 31 months.

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

2020 ◽  
Vol 17 (3) ◽  
pp. 218-223
Author(s):  
Haichao Wang ◽  
Li Gong ◽  
Xiaomei Xia ◽  
Qiong Dong ◽  
Aiping Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Cell ◽  
Cox Regression ◽  
Depression And Anxiety ◽  
Cox Regression Analysis ◽  
Post Stroke ◽  
Rbc Indices ◽  
Post Stroke Depression

Background: Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated. Methods: We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis. Results: Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA. Conclusion: The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

scholarly journals Identification and development of an independent immune-related genes prognostic model for breast cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lin Chen ◽  
Yuxiang Dong ◽  
Yitong Pan ◽  
Yuhan Zhang ◽  
Ping Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Validation Dataset ◽  
Immune Gene ◽  
Cox Regression Analysis ◽  
Immune Genes ◽  
Immune Related Genes

Abstract Background Breast cancer is one of the main malignant tumors that threaten the lives of women, which has received more and more clinical attention worldwide. There are increasing evidences showing that the immune micro-environment of breast cancer (BC) seriously affects the clinical outcome. This study aims to explore the role of tumor immune genes in the prognosis of BC patients and construct an immune-related genes prognostic index. Methods The list of 2498 immune genes was obtained from ImmPort database. In addition, gene expression data and clinical characteristics data of BC patients were also obtained from the TCGA database. The prognostic correlation of the differential genes was analyzed through Survival package. Cox regression analysis was performed to analyze the prognostic effect of immune genes. According to the regression coefficients of prognostic immune genes in regression analysis, an immune risk scores model was established. Gene set enrichment analysis (GSEA) was performed to probe the biological correlation of immune gene scores. P < 0.05 was considered to be statistically significant. Results In total, 556 immune genes were differentially expressed between normal tissues and BC tissues (p < 0. 05). According to the univariate cox regression analysis, a total of 66 immune genes were statistically significant for survival risk, of which 30 were associated with overall survival (P < 0.05). Finally, a 15 immune genes risk scores model was established. All patients were divided into high- and low-groups. KM survival analysis revealed that high immune risk scores represented worse survival (p < 0.001). ROC curve indicated that the immune genes risk scores model had a good reliability in predicting prognosis (5-year OS, AUC = 0.752). The established risk model showed splendid AUC value in the validation dataset (3-year over survival (OS) AUC = 0.685, 5-year OS AUC = 0.717, P = 0.00048). Moreover, the immune risk signature was proved to be an independent prognostic factor for BC patients. Finally, it was found that 15 immune genes and risk scores had significant clinical correlations, and were involved in a variety of carcinogenic pathways. Conclusion In conclusion, our study provides a new perspective for the expression of immune genes in BC. The constructed model has potential value for the prognostic prediction of BC patients and may provide some references for the clinical precision immunotherapy of patients.

scholarly journals The Role of Hydraulic Silicate Cements on Long-Term Properties and Biocompatibility of Partial Pulpotomy in Permanent Teeth

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 305
Author(s):  
Chung-Min Kang ◽  
Saemi Seong ◽  
Je Seon Song ◽  
Yooseok Shin
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Antimicrobial Properties ◽  
Permanent Teeth ◽  
Success Rates ◽  
Pulp Tissue ◽  
Cox Regression Analysis ◽  
Clinical Variables

The use of hydraulic silicate cements (HSCs) for vital pulp therapy has been found to release calcium and hydroxyl ions promoting pulp tissue healing and mineralized tissue formation. The present study investigated whether HSCs such as mineral trioxide aggregate (MTA) affect their biological and antimicrobial properties when used as long-term pulp protection materials. The effect of variables on treatment outcomes of three HSCs (ProRoot MTA, OrthoMTA, and RetroMTA) was evaluated clinically and radiographically over a 48–78 month follow-up period. Survival analysis was performed using Kaplan–Meier survival curves. Fisher’s exact test and Cox regression analysis were used to determine hazard ratios of clinical variables. The overall success rate of MTA partial pulpotomy was 89.3%; Cumulative success rates of the three HSCs were not statistically different when analyzed by Cox proportional hazard regression analysis. None of the investigated clinical variables affected success rates significantly. These HSCs showed favorable biocompatibility and antimicrobial properties in partial pulpotomy of permanent teeth in long-term follow-up, with no statistical differences between clinical factors.

scholarly journals The prognostic and diagnostic significance of the neutrophil-to-lymphocyte ratio in hepatocellular carcinoma: a prospective controlled study

2021 ◽  
Author(s):  
Philip J. Johnson ◽  
Sofi Dhanaraj ◽  
Sarah Berhane ◽  
Laura Bonnett ◽  
Yuk Ting Ma
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Prognostic Models ◽  
Controlled Study ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Significant Difference

Abstract Background The neutrophil–lymphocyte ratio (NLR), a presumed measure of the balance between neutrophil-associated pro-tumour inflammation and lymphocyte-dependent antitumour immune function, has been suggested as a prognostic factor for several cancers, including hepatocellular carcinoma (HCC). Methods In this study, a prospectively accrued cohort of 781 patients (493 HCC and 288 chronic liver disease (CLD) without HCC) were followed-up for more than 6 years. NLR levels between HCC and CLD patients were compared, and the effect of baseline NLR on overall survival amongst HCC patients was assessed via multivariable Cox regression analysis. Results On entry into the study (‘baseline’), there was no clinically significant difference in the NLR values between CLD and HCC patients. Amongst HCC patients, NLR levels closest to last visit/death were significantly higher compared to baseline. Multivariable Cox regression analysis showed that NLR was an independent prognostic factor, even after adjustment for the HCC stage. Conclusion NLR is a significant independent factor influencing survival in HCC patients, hence offering an additional dimension in prognostic models.

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