scholarly journals Performance Activities and Match Outcomes of Professional Soccer Teams during the 2016/2017 Serie A Season

Medicina ◽  
2019 ◽  
Vol 55 (8) ◽  
pp. 469
Author(s):  
Umile Giuseppe Longo ◽  
Francesco Sofi ◽  
Vincenzo Candela ◽  
Monica Dinu ◽  
Matteo Cimmino ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Athletic Performance ◽  
Average Speed ◽  
Total Distance ◽  
Professional Soccer ◽  
Significant Difference ◽  
The World ◽  
Soccer Teams

Background and Objectives: Soccer is the most popular sport in the world. To describe athletic performance, match statistics, and their relationships with the probability of achieving the first positions of the final ranking in the Italian football league “Serie A”, season 2016/2017. Materials and Methods: Analyses comprised all the matches played by the 20 teams of the “Serie A” championship during the season 2016–2017. Indicators of athletic performance (total distance covered in km, jogging, running and sprint activities, and average speed) and match statistics (total shots, shots on target, goal attempts, assists, turnovers, and steals) were obtained from the Italian football league. Results: Analyses of performance activities according to the final ranking showed no significant differences for the total distance covered and speed, while a statistically significant difference (p < 0.05) among teams was observed for jogging, running and sprint activities. In regard to match statistics, all the parameters investigated were significantly different among the teams. By grouping teams into four subgroups (those who qualified for the Champions League, those who qualified for the Europe League, those who ranked intermediate positions and those who relegated from the “Serie A” league), the percentage of jogging, running and sprint activities, as well as match statistics were significantly different among groups, with a downward trend for total shots, shots on target, goal attempts, assists, and turnovers. The logistic regression analysis revealed that sprint activities as well as total shots, shots on target, goal attempts, and assists higher than the 3rd tertile of their distribution were associated with a higher probability of reaching the first three positions of the final ranking. Conclusions: An increased probability to achieve the first positions of the final ranking in the Italian football league “Serie A” seemed to be mainly related to sprint activity, goal attempts, total shots, shots on target and assists.

Pre-existing interstitial lung abnormalities are risk factors for immune checkpoint inhibitor-induced interstitial lung disease in non-NSCLC cancers.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15171-e15171
Author(s):  
Kiyofumi Shimoji ◽  
Takeshi Masuda ◽  
Yu Nakanishi ◽  
Kakuhiro Yamaguchi ◽  
Shinjiro Sakamoto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Patient Characteristics ◽  
Significant Difference

e15171 Background: Immune check point inhibitor (ICI) induced interstitial lung disease (ICI-ILD) is a clinically serious and life-threatening toxicity. Pre-existing ILD has been reported to be a risk factor for ICI-ILD in patients with non-small cell lung cancer (NSCLC). In addition, we have previously reported that interstitial lung abnormality (ILA) is also a risk factor for the ICI-ILD. Therefore, we investigated whether any patient characteristics, including ILA, were risk factors for ICI-ILD in patients with non-NSCLC cancers. Methods: Head and neck cancer, malignant melanoma, oral cavity cancer, renal cell carcinoma or gastric cancer patients who received anti PD-1 antibody (Nivolumab or Pembrolizumab) at Hiroshima University Hospital from December 2015 to May 2019 were enrolled. Information on patient characteristics before anti-PD-1 antibody administration, including chest CT findings and laboratory data, were obtained. Results: Two hundred patients were enrolled, and 20 (10%) developed ICI-ILD. Grade1 was observed in 15 patients, grade2 in 3, and grade3 and 5 in 1. There was no significant difference in the background factors between patients with and without ICI-ILD. On the other hand, the proportion of patients with ILA was significantly higher in the patients with ICI-ILD than those without (P < 0.01). Furthermore, univariate logistic regression analysis revealed ILA was the risk factor for ICI-ILD (p < 0.01), and multivariate logistic regression analysis showed that GGA or reticulation in ILA was an independent risk factor for ICI-ILD (p = 0.016, 0.011). Conclusions: Pre-existing ILA is a risk factor for ICI-ILD, and GGA or reticulation in ILA is an independent risk factor for ICI-ILD in patients with non-NSCLC cancers. Therefore, we should pay more attention to the development of ICI-ILD in patients with ILA, especially GGA or reticulation.

scholarly journals Contribution of rs1799998 polymorphism in CYP11B2 gene in susceptibility to preeclampsia

2020 ◽  
Vol 20 (2) ◽  
pp. 467-471
Author(s):  
Kaio Raffael Valotta Bezerra ◽  
Sarah Cristina Sato Vaz Tanaka ◽  
Vanessa Resende Souza Silva ◽  
Marina Carvalho Paschoinni ◽  
Roseane Lopes da Silva Grecco ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Recessive Model ◽  
Control Group ◽  
Study Group ◽  
Genotypic Frequency ◽  
Multiple Logistic Regression ◽  
Significant Difference

Abstract Objectives: the present study aimed to evaluate the association between the rs1799998 polymorphism of the CYP11B2 gene and the susceptibility to preeclampsia (PE) in a Brazilian population. Methods: the study group comprised 61 women who were diagnosed with PE. The control group included 116 women who did not show changes in their blood pressure levels during their pregnancies. The rs1799998 polymorphism of the CYP11B2 gene was amplified by allele-specific polymerase chain reaction (PCR). A multiple logistic regression analysis was performed using the SNPStat program to evaluate the risk of the CYP11B2 gene rs1799998 polymorphism contributing to PE. Results: the PE group had the following genotypes: 1.64% CC, 91.80% CT, and 6.56% TT. In the control group, the observed genotypic frequencies were: 11% CC, 73% CT, and 16% TT. The genotypic frequency distribution did not fit the Hardy Weinberg Equilibrium (HWE) in either study group. The multiple logistic regression analysis showed a statistically significant difference for the rs1799998 polymorphism in the recessive model. Conclusion: the results suggest an association between the recessive model of C/C genotype of the rs1799998 polymorphism of the CYP11B2 gene and susceptibility to PE.

scholarly journals The Utilization of Physician Cell Phone Numbers by Patients in an Orthopaedic Surgery Practice

2020 ◽  
Vol 5 (4) ◽  
pp. 2473011420S0041
Author(s):  
Ryan G. Rogero ◽  
Daniel Corr ◽  
Meghan Bishop ◽  
Brandon Erickson ◽  
Daniel Seigerman ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Orthopaedic Surgery ◽  
Cell Phone ◽  
Orthopaedic Surgeons ◽  
Phone Number ◽  
Phone Calls ◽  
Significant Difference ◽  
Chi Square Analysis

Category: Other; Basic Sciences/Biologics Introduction/Purpose: There are a wide variety of ways in which physicians choose to manage communications with their patients outside of official visits and interactions. Some defer to ancillary staff/services (e.g. surgery schedulers, medical assistants) or mid-level providers (e.g. registered nurses, physicians assistants) until the situation warrants a call back directly from the physician. Less commonly, some choose to provide their cell phone number to patients to provide them with direct access should the need arise. The purpose of this prospective study was to explore to what extent patients utilize the cell phone numbers of orthopaedic surgeons in the immediate period after it is provided to them. Methods: Seven fellowship-trained orthopaedic surgeons from 5 different subspecialties (adult reconstruction, foot and ankle, hand and wrist, spine, sports) in a single private, multi-site orthopaedic surgery group located in a major metropolitan area each provided their personal cell phone number to approximately 30 consecutive patients during a 1-month period. The surgeon’s phone number was written down on a business card, and the surgeons themselves provided the card to the patient. Phone calls and voice mail messages received in the 30 days following the patient receiving the phone number were recorded, and the reasons for these calls were categorized as being ‘appropriate’ (e.g. acute postoperative issues, unclear instructions) or ‘inappropriate’ (e.g. administrative issues, medication refills, advanced imaging-related inquires). Logistic regression analysis was performed to determine if any patient variable or surgeon subspecialty was independently associated with calling the surgeon cell phone number. Results: Two-hundred seven patients, average age 51.5 years, were provided cell phone numbers. During the 30 days following administration of cell phone numbers, 21 patients (10.1%) made calls to their surgeon, for an average of 0.15 calls per patient. Six patients (2.9%) called more than once. Seventeen calls (54.8%) were deemed appropriate, and 14 calls (45.2%) inappropriate. Student’s t-tests (age) and chi-square analysis (sex, visit type, surgeon subspecialty) did not reveal significant difference between callers and non-callers (Table 2). Sports had the highest proportion of patients calling (16.9%), whereas foot & ankle had the lowest (4.0%), though surgeon subspecialty did not differ significantly (p=.3119). Logistic regression analysis did not reveal age (p=.7147), sex (p=.8230), visit type (p=.8745), or surgeon subspecialty (p=.1960) to be associated with calling. Conclusion: Our study has demonstrated a low rate of patient utilization of surgeon cell phone number when provided to them. If surgeons choose to provide their cell phone number to patients, we recommend specifying appropriate reasons to call in order to maximize the effectiveness of this communication method. [Table: see text]

scholarly journals A study of correlations between metabolic syndrome factors and osteosarcopenic adiposity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu-Hsiang Su ◽  
Yu-Ming Chang ◽  
Chih-Ying Kung ◽  
Chiu-Kuei Sung ◽  
Wei-Shin Foo ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Health Management ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Simultaneous Occurrence ◽  
Multinomial Logistic Regression Analysis ◽  
Significant Difference

Abstract Background Aging reduces the quality and strength of bones and muscles and increases body fat, which can lead to the simultaneous occurrence of sarcopenia, osteopenia, and adiposity, a condition referred to as OsteoSarcopenic Adiposity (OSA). While previous studies have demonstrated that metabolic syndrome is associated with sarcopenia, osteopenia, and adiposity, the relationship between metabolic syndrome and OSA remains largely unknown. Methods We analyzed data for a sample of middle-aged individuals from a Health Management Center database, which was collected in 2016–2018. There are 2991 cases of people over 50 years from a physical examination center in a hospital in Taiwan during 2016–2018. In addition to descriptive statistics, chi-squared test, analysis of variance, and multinomial logistic regression analysis were conducted to examine OSA risk and associated factors. Results Based on multinomial logistic regression analysis, in different OSA severity level (1–3 more serious), those who are with metabolic syndrome has increased the 2.49–2.57 times risk of OSA (p < 0.001) in OSA = 2 and 3 groups while there is no significant difference in OSA =1 group. Conclusion The prevalence of OSA may impair the health and quality of life in the elderly group, especially those diagnosed with metabolic syndrome, increasing the risk of OSA. These results can help promote early diagnosis and treatment of OSA in clinical settings, particularly among aging individuals with abnormal physical function, the group with the highest OSA incidence.

scholarly journals The presence of chronic inflammation in positive prostate biopsy is associated with upgrading in radical prostatectomy

2021 ◽  
Vol 93 (3) ◽  
pp. 280-284
Author(s):  
Ekrem Guner ◽  
Yavuz Onur Danacioglu ◽  
Yusuf Arikan ◽  
Kamil Gokhan Seker ◽  
Salih Polat ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Radical Prostatectomy ◽  
Chronic Inflammation ◽  
Logistic Regression Analysis ◽  
Prostate Biopsy ◽  
Chronic Prostatitis ◽  
Significant Difference ◽  
The Impact

Objective: This study aimed to determine the predictive effect of the presence of chronic prostatitis associated with prostate cancer (PCa) in prostate biopsy on Gleason score upgrade (GSU) in radical prostatectomy (RP) specimens. Materials and methods: The data of 295 patients who underwent open or robotic RP with a diagnosis of localized PCa following biopsy were retrospectively analyzed. Patients were divided into two groups with and without GSU following RP. Predictive factors affecting GSU on biopsy were determined. The impact of chronic prostatitis associated with prostate cancer on GSU was examined via logistic regression analysis. Results: Out of 224 patients with Gleason 3+3 scores on biopsy, 145 (64.7%) had Gleason upgrade, and 79 (35.2%) had no upgrade. Whilst comparing the two groups with and without Gleason upgrade in terms of patient age, prostate-specific antigen (PSA) value, PSA density (PSAD), prostate volume (PV), neutrophil/lymphocyte (N/L) ratio, number of positive cores, percentage of positive cores, and Prostate Imaging Reporting and Data System version 2 score, no statistically significant difference was detected. The presence of chronic prostatitis associated with PCa was higher in the patient cohort with GSU in contrast to the other group (p < 0.001). According to the univariate logistic regression analysis, the presence of chronic prostatitis was identified to be an independent marker for GSU. Conclusions: Pathologists and urologists should be careful regarding the possibility of a more aggressive tumor in the presence of chronic inflammation associated with PCa because inflammation within PCa was revealed to be linked with GSU after RP.

scholarly journals Risk Factors for Falls in Patients with Alzheimer Disease: A Retrospective Study of Balance, Cognition, and Visuospatial Ability

2021 ◽  
pp. 58-63
Author(s):  
Mayuka Oki ◽  
Miyuki Matsumoto ◽  
Yukiko Yoshikawa ◽  
Mitsuko Fukushima ◽  
Akira Nagasawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Alzheimer Disease ◽  
Logistic Regression Analysis ◽  
Visuospatial Ability ◽  
Cutoff Value ◽  
The Past ◽  
Significant Difference ◽  
Risk Factors For Falls

Aim: This study aimed to determine the main risk factors for falls in patients with Alzheimer disease (AD) by comparing balance, cognition, and visuospatial ability between those who have experienced a fall and those who have not. Methods: Forty-seven AD patients were admitted to a ward for patients with dementia (22 men and 25 women). The balance of patients was evaluated using the Functional Reach Test (FRT), the one-leg standing duration, and the Timed Up and Go (TUG) test. The Mini-Mental State Examination-Japanese (MMSE-J) was used to evaluate cognition. For visuospatial ability assessment, the Clock-Drawing Test (CDT) as well as overlapping figure identification and shape discrimination in the Visual Perception Test for Agnosia (VPTA) were used. The patients were allocated to either the fall group or the nonfall group based on their history of falls in the past year. The relationships between patients’ characteristics and evaluation outcomes were compared and examined. Logistic regression analysis was performed using a fall as the objective variable. The area under the curve (AUC) and the cutoff value were calculated. Results: Of the 47 participants, 22 had experienced falls within the past year (46.8%). The results of the FRT, one-leg standing duration, the TUG, the CDT, and the VPTA were significantly lower in the fall group. No significant difference between the MMSE-J scores of the fall group and those of the nonfall group was observed. The results of the logistic regression analysis indicated that falls in AD patients were significantly associated with the FRT. It was found that a shorter FRT distance (cm) had a significant impact on falls. For the FRT, the fall-related AUC was 0.755. At a cutoff value of 24.5 cm, the level of sensitivity was 68.0%, and the level of specificity was 77.3%. Conclusions: The findings of this study indicate that balance and visuospatial abilities are risks factors for falls in AD patients. In contrast, cognitive impairment was not a risk factor for falls. It was demonstrated that the FRT could be an appropriate risk predictor for falls in AD patients. In particular, falls in AD patients were strongly affected by a reduced dynamic balance.

scholarly journals The Predictors and Determinants of Inter-Seasonal Success in a Professional Soccer Team

2017 ◽  
Vol 58 (1) ◽  
pp. 157-167 ◽  
Author(s):  
Christopher S. Kite ◽  
Alan Nevill
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Professional Soccer ◽  
Key Variables ◽  
Soccer Team

AbstractThe aims of this study were to 1) directly compare the performances of a professional soccer team over three seasons, 2) identify key variables that discriminated between a successful or unsuccessful performance, and 3) identify variables that best predicted success. ANOVA revealed that attempted and completed passes were significantly lower (both p < 0.001) in the most successful season (S1). Additionally, shot effectiveness was significantly less (p < 0.001) in their least successful season (S3) (vs S1 -11.61%; d = 0.735; vs S2 -12.02%; d = 0.760). When the match outcome was considered, they attempted significantly fewer passes when they won (-60.26; p = 0.002; d = -0.729) or drew (-44.87; p = 0.023; d = -0.543) compared to when they lost. The binary logistic regression analysis also retained passing variables. The team should attempt fewer passes, but ensure that more of these passes are completed. With away matches, the effect became more pronounced (β = -0.042, OR = 0.959, p = 0.012). In conclusion, the team should adopt a more direct style of play. They should move the ball into a shooting position with fewer passes and ensure that more shots are on the target.

scholarly journals Urinary continence outcomes of four years of follow-up and predictors of early and late urinary continence in patients undergoing robot-assisted radical prostatectomy

2020 ◽  
Author(s):  
Xing Li ◽  
Huan Zhang ◽  
Zhuo Jia ◽  
Yunpeng Wang ◽  
Yong Song ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Radical Prostatectomy ◽  
Logistic Regression Analysis ◽  
Urinary Continence ◽  
Robot Assisted ◽  
Significant Difference ◽  
Late Stages

Abstract Background: The robot-assisted radical prostatectomy (RARP) has been widely applied in recent years; however, only a few studies are reported about long-term urinary continence after surgery. The present study aimed to examine the outcomes of continence rates (CRs) and determine the risk and protective factors of urinary continence in patients with prostate cancer (PCa) undergoing RARP. Methods: This retrospective study included 650 patients treated with RARP with perioperative data and at least one year of follow-up from January 2009 to November 2017. Also, the preoperative, intraoperative, and postoperative parameters of the patients were analyzed. Continence was defined as no pad use. Early and late continence was defined as the return of urinary continence within 3 months and beyond 12 months post-surgery, respectively. CRs were examined from 1–48 months postoperatively. Logistic regression analysis evaluated the association between the predictive factors and urinary continence in the early and late stages. Results: No significant difference was detected in the CR from 12–48 months postoperatively (P=0.766). Logistic regression analysis proved that pelvic lymph node dissection (PLND) was a significant risk factor of urinary continence at 1 month. Nerve-sparing (NS) was a significant protective factor of urinary continence at 1, 3, and 6 months. Advanced age was an independent risk factor of urinary continence at 6, 12, and 24 months. Other variables were not statistically significant predictors of urinary continence. Conclusions: The current results demonstrated that CR gradually improved with time within 1 year and stabilized 1 year after the surgery. PLND, NS, and age were significant determinants of continence in the early and late stages, respectively. These parameters could be used for preoperative identification of patients at high risk and counseling about postoperative expectations for urinary continence.

scholarly journals The association between BMI, smoking, drinking and thyroid disease: a cross-sectional study in Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiao Chen ◽  
Juan-juan Wang ◽  
Li Yu ◽  
Han-yu Wang ◽  
Hui Sun
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Protective Effect ◽  
Logistic Regression Analysis ◽  
Thyroid Disease ◽  
Thyroid Diseases ◽  
Central China ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Significant Difference

Abstract Background There is no clear conclusion on the relationship between thyroid disease and obesity and lifestyle factors such as smoking and drinking. In this study, we analysed the association of body mass index (BMI), smoking and drinking with subclinical hypothyroidism (SHO) and thyroid nodules (TNs) with the results of a cross-sectional survey of urban residents in central China and discussed the potential mechanism linking these predictive factors and the two diseases. Methods This study included 1279 participants who were recruited from a Chinese community in 2011 and 2012. A questionnaire, laboratory examination and ultrasound diagnosis were conducted on these participants. Binary logistic regression analysis was used to analyse these factors. Results Overweight (BMI ≥ 25 kg/m2) was closely related to SHO and TNs in univariate and multivariate logistic regression analyses. Smoking had a protective effect on SHO and TNs, while drinking had a protective effect on TNs in univariate logistic regression and multivariate logistic regression with some covariates, but there was no significant difference between smoking and drinking and the two kinds of thyroid diseases in multivariate logistic regression analysis with all the covariates. In subgroup analysis, BMI ≥ 25 kg/m2 was significantly associated with SHO in people with positive thyroid antibodies (odds ratio (OR) = 2.221, 95 % confidence interval (CI): 1.168–4.184, P = 0.015) and smokers (OR = 2.179, 95 % CI: 1.041–4.561, P = 0.039). BMI ≥ 25 kg/m2 was significantly associated with TNs in people over 60 years old (OR = 2.069, 95 % CI: 1.149–3.724, P = 0.015) and drinkers (OR = 3.065, 95 % CI: 1.413–6.648, P = 0.005). Drinking alcohol had a protective effect on TNs in smokers (OR = 0.456, 95 % CI: 0.240–0.865, P = 0.016) and people with BMI ≥ 25 kg/m2 (OR = 0.467, 95 % CI: 0.236–0.925, P = 0.029). No significant association was found between smoking and the two thyroid diseases in different subgroups. Conclusions Obesity is a risk factor for both TNs and SHO, especially in elderly individuals and people with positive thyroid autoantibodies. Obesity and metabolic syndrome may be more associated with TNs than SHO. Smoking may have a protective effect on thyroid disease, while drinking may have a protective effect only on TNs.

scholarly journals Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR

2021 ◽  
Vol 11 ◽  
Author(s):  
Wei Li ◽  
Chao Xu ◽  
Zhaoxiang Ye
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Pancreatic Neuroendocrine Tumor ◽  
Maximum Intensity ◽  
Arterial Phase ◽  
Low Grade ◽  
Mr Images ◽  
Significant Difference

BackgroundPancreatic neuroendocrine tumors (PNETs) grade is very important for treatment strategy of PNETs. The present study aimed to find the quantitative radiomic features for predicting grades of PNETs in MR images.Materials and MethodsTotally 48 patients but 51 lesions with a pathological tumor grade were subdivided into low grade (G1) group and intermediate grade (G2) group. The ROI was manually segmented slice by slice in 3D-T1 weighted sequence with and without enhancement. Statistical differences of radiomic features between G1 and G2 groups were analyzed using the independent sample t-test. Logistic regression analysis was conducted to find better predictors in distinguishing G1 and G2 groups. Finally, receiver operating characteristic (ROC) was constructed to assess diagnostic performance of each model.ResultsNo significant difference between G1 and G2 groups (P &gt; 0.05) in non-enhanced 3D-T1 images was found. Significant differences in the arterial phase analysis between the G1 and the G2 groups appeared as follows: the maximum intensity feature (P = 0.021); the range feature (P = 0.039). Multiple logistic regression analysis based on univariable model showed the maximum intensity feature (P=0.023, OR = 0.621, 95% CI: 0.433–0.858) was an independent predictor of G1 compared with G2 group, and the area under the curve (AUC) was 0.695.ConclusionsThe maximum intensity feature of radiomic features in MR images can help to predict PNETs grade risk.

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