scholarly journals The predictive prognostic factors and risk factors of lymph node metastasis in patients with early gastric cancer

2019 ◽  
Author(s):  
hongliang zu ◽  
huiling Wang ◽  
yan MA ◽  
yingwei xue
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Treatment Strategies ◽  
Multivariate Logistic Regression Analysis ◽  
Clinicopathological Features ◽  
Multivariate Logistic Regression ◽  
Node Metastasis

Abstract Background: Determining the prognosis of early gastric cancer (EGC) is very important for the selection of preoperative treatment strategies. The purpose of this paper was to investigate the clinicopathological features and prognostic factors in EGC and the related risk factors of lymph node metastasis (LNM). Methods: From March 2007 through December 2010, 1004 patients who underwent gastrectomy at Harbin Medical University were retrospectively identified; 120 patients were diagnosed with EGC. The clinicopathological features and prognostic factors were analysed by univariate and multivariate analyses. Multivariate logistic regression analysis was used to discern risk factors for LNM in EGC. Results: The incidence of EGC was 11.96%. A univariate analysis showed that age, preoperative haemoglobin (Hb) level, prealbumin level, tumour size and LNM were significant prognostic factors. A multivariate analysis showed that the preoperative Hb level and LNM were independent prognostic factors. A multivariate logistic regression analysis revealed that age, Ca-199 level and macroscopic tumour type were independent risk factors for LNM in EGC. Conclusions: Preoperative Hb level and LNM were both independent prognostic factors for EGC. These factors may help surgeons implement appropriate treatment strategies during the perioperative period.

scholarly journals Construction and validation of nomogram to predict distant metastasis in osteosarcoma: a retrospective study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Shouliang Lu ◽  
Yanhua Wang ◽  
Guangfei Liu ◽  
Lu Wang ◽  
Pengfei Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Treatment Strategies ◽  
Multivariate Logistic Regression Analysis ◽  
Postoperative Treatment ◽  
Good Prediction ◽  
Seer Database ◽  
Multivariate Logistic Regression

Abstract Background Osteosarcoma is most common malignant bone tumors. OS patients with metastasis have a poor prognosis. There are few tools to assess metastasis; we want to establish a nomogram to evaluate metastasis of osteosarcoma. Methods Data from the Surveillance, Epidemiology, and End Results (SEER) database of patients with osteosarcoma were retrieved for retrospective analysis. We identify risk factors through univariate logistic regression and multivariate logistic regression analysis. Based on the results of multivariate analysis, we established a nomogram to predict metastasis of patients with osteosarcoma and used the concordance index (C-index) and calibration curves to test models. Results One thousand fifteen cases were obtained from the SEER database. In the univariate and multivariate logistic regression analysis, age, primary site, grade, T stage, and surgery are risk factors. The nomogram for metastasis was constructed based on these factors. The C-index of the training and validation cohort was 0.754 and 0.716. This means that the nomogram predictions of patients with metastasis are correct, and the calibration plots also show the good prediction performance of the nomogram. Conclusion We successfully develop the nomogram which can reliably predict metastasis in different patients with osteosarcoma and it only required basic information of patients. The nomogram that we developed can help clinicians better predict the metastasis with OS and determine postoperative treatment strategies.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p < 0.001), larger volume of expander (200–400 ml vs <200 ml; OR, 1.74; p = 0.032; >400 ml vs <200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of <1 year, expander volume of >200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

scholarly journals Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

2021 ◽  
Author(s):  
Elisabetta Schiaroli ◽  
Anna Gidari ◽  
Giovanni Brachelente ◽  
Sabrina Bastianelli ◽  
Alfredo Villa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Critical Illness ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Severe Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

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.

Risk factor analysis of progressive spinal deformity after resection of intramedullary spinal cord tumors in patients who underwent laminoplasty: a report of 105 consecutive cases

2019 ◽  
Vol 30 (5) ◽  
pp. 655-663 ◽  
Author(s):  
Wei Shi ◽  
Shan Wang ◽  
Huifang Zhang ◽  
Guoqin Wang ◽  
Yi Guo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Spinal Cord ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Spinal Deformity ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Spinal Cord Tumors ◽  
Intramedullary Spinal Cord

OBJECTIVELaminoplasty has been used in recent years as an alternative approach to laminectomy for preventing spinal deformity after resection of intramedullary spinal cord tumors (IMSCTs). However, controversies exist with regard to its real role in maintaining postoperative spinal alignment. The purpose of this study was to examine the incidence of progressive spinal deformity in patients who underwent laminoplasty for resection of IMSCT and identify risk factors for progressive spinal deformity.METHODSData from IMSCT patients who had undergone laminoplasty at Beijing Tsinghua Changgung Hospital between January 2014 and December 2016 were retrospectively reviewed. Univariate tests and multivariate logistic regression analysis were used to assess the statistical relationship between postoperative spinal deformity and radiographic, clinical, and surgical variables.RESULTSOne hundred five patients (mean age 37.0 ± 14.5 years) met the criteria for inclusion in the study. Gross-total resection (> 95%) was obtained in 79 cases (75.2%). Twenty-seven (25.7%) of the 105 patients were found to have spinal deformity preoperatively, and 10 (9.5%) new cases of postoperative progressive deformity were detected. The mean duration of follow-up was 27.6 months (SD 14.5 months, median 26.3 months, range 6.2–40.7 months). At last follow-up, the median functional scores of the patients who did develop progressive spinal deformity were worse than those of the patients who did not (modified McCormick Scale: 3 vs 2, and p = 0.04). In the univariate analysis, age (p = 0.01), preoperative spinal deformity (p < 0.01), extent of tumor involvement (p < 0.01), extent of abnormal tumor signal (p = 0.02), and extent of laminoplasty (p < 0.01) were identified as factors associated with postoperative progressive spinal deformity. However, in subsequent multivariate logistic regression analysis, only age ≤ 25 years and preoperative spinal deformity emerged as independent risk factors (p < 0.05), increasing the odds of postoperative progressive deformity by 4.1- and 12.4-fold, respectively (p < 0.05).CONCLUSIONSProgressive spinal deformity was identified in 25.7% patients who had undergone laminoplasty for IMSCT resection and was related to decreased functional status. Younger age (≤ 25 years) and preoperative spinal deformity increased the risk of postoperative progressive spinal deformity. The risk of postoperative deformity warrants serious reconsideration of providing concurrent fusion during IMSCT resection or close follow-up after laminoplasty.

scholarly journals Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

2019 ◽  
Vol 25 ◽  
pp. 107602961986690 ◽  
Author(s):  
Yuqing Deng ◽  
Zhiqing Chen ◽  
Lili Hu ◽  
Zhenyan Xu ◽  
Jinzhu Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Dilated Cardiomyopathy ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Analysis Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

Minimally invasive surfactant therapy failure: risk factors and outcome

2019 ◽  
Vol 104 (6) ◽  
pp. F636-F642 ◽  
Author(s):  
Lobke CE Janssen ◽  
Jooske Van Der Spil ◽  
Anton H van Kaam ◽  
Jeanne P Dieleman ◽  
Peter Andriessen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Intensive Care ◽  
Minimally Invasive ◽  
Logistic Regression Analysis ◽  
Neonatal Intensive Care ◽  
Multivariate Logistic Regression Analysis ◽  
Surfactant Therapy ◽  
Multivariate Logistic Regression

ObjectiveTo evaluate incidence of minimally invasive surfactant therapy (MIST) failure, identify risk factors and assess the impact of MIST failure on neonatal outcome.DesignRetrospective cohort study. MIST failure was defined as need for early mechanical ventilation (<72 hours of life). Multivariate logistic regression analysis was performed to identify risk factors for MIST failure and compare outcomes between groups.SettingTwo tertiary neonatal intensive care centres in the Netherlands.PatientsInfants born between 24 weeks’ and 31 weeks’ gestational age (GA) (n=185) with MIST for respiratory distress syndrome.InterventionsMIST procedure with poractant alfa (100–200 mg/kg).Main outcome measuresContinuous positive airway pressure (CPAP) failure after MIST in the first 72 hours of life.Results30% of the infants failed CPAP after MIST. In a multivariate logistic regression analysis, four risk factors were independently associated with failure: GA <28 weeks, C reactive protein ≥10 mg/L, absence of antenatal corticosteroids and lower surfactant dose. Infants receiving 200 mg/kg surfactant had a failure rate of 14% versus 35% with surfactant dose <200 mg/kg. Mean body temperature was 0.4°C lower at neonatal intensive care unit admission and before the procedure in infants with MIST failure.Furthermore, MIST failure was independently associated with an increased risk of severe intraventricular haemorrhage.ConclusionWe observed moderate MIST failure rates in concordance with the results of earlier studies. Absence of corticosteroids and lower surfactant dose are risk factors for MIST failure that may be modifiable in order to improve MIST success and patient outcome.

Comprehensive study of risk factors for chemotherapy-induced nausea and vomiting in cancer patients receiving cisplatin-based chemotherapy: A TRIPLE pharmacogenomics study.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 10091-10091
Author(s):  
Hideaki Ayuhara ◽  
Daiki Tsuji ◽  
Mari Yokoi ◽  
Kenichi Suzuki ◽  
Yohei Kawasaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Nausea And Vomiting ◽  
Multivariate Logistic Regression ◽  
Independent Variables ◽  
Female Sex ◽  
Antiemetic Treatment

10091 Background: Chemotherapy-induced nausea and vomiting (CINV) is one of the most unpleasant adverse effects of chemotherapy. Resistance to prophylactic antiemetic treatment is problematic, with 30%–50% of patients experiencing unsatisfactory control. Younger age and female sex are well-known risk factors for CINV. Genetic polymorphisms are suggested to influence antiemetic treatment response. Methods: This study included a subset of patients previously enrolled in a randomised controlled trial. This study aimed to evaluate the role of pharmacogenomic polymorphisms relevant to antiemetic response in patients with cancer receiving cisplatin-based chemotherapy. The study’s efficacy endpoint was the proportion of patients with complete response (CR). The study endpoint was evaluated separately in the acute (CR0-24) and delayed (CR24-120) phases. Thirteen polymorphisms were genotyped, and the association of these genotypes with the efficacy of prophylactic antiemetics was then investigated. Confounding variables for CR were identified using stepwise multivariate logistic regression analysis. Age and sex were included as independent variables by the forced-entry method, and the stepwise method was used to select the pharmacogenomic factors for inclusion as independent variables. Results: In this genetic polymorphism association study, 156 patients with solid cancer were evaluated. Multivariate logistic regression analysis revealed that ERCC1 8092AA (odd ratio [OR]: 11.251; 95% confidence interval [CI]: 1.741–72.712, P = 0.011) and female sex (OR = 3.630; 95% CI = 1.138–11.578, P = 0.029) were significant predictors of CR0-24. No significant association of CR24-120 with pharmacogenomic polymorphisms was found via multivariate logistic regression analysis. Conclusions: ERCC1 polymorphism might be influenced the extent of CINV control in patients receiving cisplatin-based chemotherapy. Clinical trial information: 000009335.

scholarly journals Operative wound-related complications after cranial revascularization surgeries

2015 ◽  
Vol 123 (5) ◽  
pp. 1145-1150 ◽  
Author(s):  
Keisuke Takanari ◽  
Yoshio Araki ◽  
Sho Okamoto ◽  
Hideyoshi Sato ◽  
Shunjiro Yagi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Blood Supply ◽  
Operative Technique ◽  
Multivariate Logistic Regression Analysis ◽  
Wound Complication ◽  
Wound Complications ◽  
Multivariate Logistic Regression ◽  
The Relationship

OBJECT Intracranial revascularization surgeries are an effective treatment for moyamoya disease and other intracranial vascular obliterative diseases. However, in some cases, wound-related complications develop after surgery. Although the incidence of wound complication is supposed to be higher than that with a usual craniotomy, this complication has rarely been the focus of studies in the literature that report the outcomes of revascularization surgeries. Here, the relationship between intracranial revascularization surgeries and their complications is statistically assessed. METHODS Between October 2004 and February 2010, 71 patients were treated using cerebral revascularization surgeries on 98 sides of the head. The relationship between wound complications and operative technique was retrospectively assessed. Multivariate logistic regression analysis was performed to identify the risk factors of wound complication, including operative technique, age, sex, diabetes mellitus (DM), hypertension, hyperlipidemia, and smoking history. RESULTS In total, there were 21 (21.4%) operative wound complications. Of these 21 complications, there were 14 (66.7%) minor complications and 7 (33.3%) major complications. No statistically significant relationship was found between wound complications and any surgical procedure. A trend toward severer complications was demonstrated for the procedures that used both STA branches (“double” procedures) in comparison with the procedures that used only 1 STA branch (“single” procedures, p = 0.016, Cochran-Armitage trend test). Multivariate logistic regression analysis also revealed that double procedures demonstrated a significantly higher incidence of wound complications than single procedures (OR 3.087, p = 0.048). DM was found to be a risk factor for wound complication (OR 9.42, p = 0.02), but age, sex, hypertension, and hyperlipidemia were not associated with the incidence of complications. Even though the blood supply to the scalp is abundant due to 5 arteriovenous systems, sometimes cutaneous necrosis develops after intracranial revascularization surgeries. The galeal blood supply is thought to be crucial for preventing wound-related complications. Special care is also thought to be required for DM patients. CONCLUSIONS Revascularization surgeries seemed to demonstrate a higher risk of wound-related complications. Double-type procedures, which use both branches of the STA, and a history of DM were found to be risk factors for wound-related complications. Attention should be paid to the design of the galeal incision and vessel harvest line. Also, special attention should be paid to patients with DM.

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