scholarly journals Outcome of breast cancer patients regarding obesity and complications: Analysis of risk factors

2021 ◽  
Vol 68 (1) ◽  
pp. 77-86
Author(s):  
Iuliana Pantelimon ◽  
◽  
Laurentia Nicoleta Gales ◽  
Maria Daniela Tanasescu ◽  
Irina Nita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Prognostic Factors ◽  
Disease Progression ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
The Body ◽  
Proliferation Index ◽  
Her2 Overexpression ◽  
Type Ii

Introduction. Breast cancer is the leading cause of cancer death in Romania. In the context in which the treatments available for this pathology have increased curability, the identification of negative prognostic factors involved in the evolution of this disease seems essential to improve the overall survival as well as the time to disease progression. Aim. The aim of this study is to identify the role of prognostic factors such as ki67 proliferation index, the presence of tumour estrogen receptors, HER2 overexpression, the presence of secondary determinations at diagnosis, the association of obesity and type II diabetes. Methods. 50 patients diagnosed with breast cancer treated in the Elias University Emergency Hospital Bucharest were retrospectively followed, for which the progression was documented at the time of elaboration of this study. Thus, a database was developed in which data were entered on age, body mass index, immunohistochemical characteristics of breast tumours, the presence/absence of metastases at diagnosis and the association of type II diabetes. Statistical calculations were performed to highlight a possible correlation between obesity (quantified by measuring body mass index) and tumour aggressiveness (quantified by ki67 proliferation index) as well as statistical evaluation of potential prognostic factors that would influence time, until the disease progresses. Results. Within this group, no correlation could be established between the presence of an increased body mass index and the value of the ki67 proliferation index (p = 0.38). The mean value of the body mass index for this group of unselected patients was 28.76 ± 4.81 (DS) most patients are therefore overweight or obese. The factors involved in the evolution of breast cancer that influenced the early progression of the disease were: the proliferation index ki67 (p <0.05), the presence of metastases at diagnosis (p < 0.0001) and the association of type II diabetes (p = 0.0085). The value of the body mass index did not influence the time to disease progression according to statistical calculations in this group probably due to the small number of normal weight patients included (p = 0.34).

scholarly journals Clinical verification of body mass index and tumor immune response in patients with breast cancer receiving preoperative chemotherapy

2021 ◽  
Author(s):  
Koji Takada ◽  
Shinichiro Kashiwagi ◽  
Yuka Asano ◽  
Wataru Goto ◽  
Rika Kouhashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Preoperative Chemotherapy ◽  
Early Stage ◽  
The Body ◽  
World Health ◽  
Cancer Type ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

Abstract Purpose: The body mass index (BMI) is commonly used as a simple indicator of obesity; patients with early-stage breast cancer who are obese (OB) per BMI measurements have been shown to have high postoperative recurrence and low survival rates. On the other hand, it has been shown that lymphocytes present in the vicinity of malignant growths that are involved in the tumors’ immune responses influence the efficacy chemotherapy. Therefore, we hypothesized that OB patients with breast cancer have a lower density of tumor-infiltrating lymphocytes (TILs), which may influence the therapeutic effect of preoperative chemotherapy (POC). In this study, we measured pretreatment BMI and TILs in patients with breast cancer who underwent POC, examined the correlations between these two factors, and retrospectively analyzed their therapeutic outcomes and prognoses.Methods: The participants in this study were 421 patients with breast cancer who underwent surgical treatment after POC between February 2007 and January 2019. The patient’s height and weight were measured before POC to calculate the BMI (weight [kg] divided by the square of the height [m2]). According to the World Health Organization categorization, patients who weighed under 18.5 kg/m2 were classified as underweight (UW), those ≥18.5 kg/m2 and >25 kg/m2 were considered normal weight (NW), those ≥25 kg/m2 and <30 kg/m2 were overweight (OW), and those ≥30 kg/m2 were OB. The TILs were those lymphocytes that infiltrated the tumor stroma according to the definition of the International TILs Working Group 2014.Results: The median BMI was 21.9 kg/m2 (range, 14.3–38.5 kg/m2); most patients (244; 64.5%) were NW. Among all 378 patients with breast cancer, the TIL density was significantly lower in OB than in NW and OW patients (vs. NW: p=0.001; vs. OW: p=0.003). Furthermore, when examining patients with each breast cancer type individually, the OS of those with TNBC who had low BMIs was significantly poorer than that of their high-BMI counterparts (log rank p=0.031).Conclusions: Our data did not support the hypothesis that obesity affects the tumor immune microenvironment; however, we showed that being UW does affect the tumor immune microenvironment.

scholarly journals Risk Factors Associated With Type-II Diabetes Mellitus in Male Adults in District Mardan

2019 ◽  
Vol 4 (1) ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Fasting Blood Sugar ◽  
Type Ii ◽  
Factors Associated

A study was carried out, in order to assess the risk factors associated with type-II diabetes mellitus in males (Age≥40 years) in district Mardan. Four hundred cases and controls (Each 200) were selected from 10 union councils (7 rural and 3 urban) by a systematic sampling method. In order to select cases and controls, all were interviewed for medical history, on fulfillment of which, cases and controls were separately included for study. In anthropometry, weight, and height were taken for Body Mass Index while waist and hip circumference were taken for waist-to-hip ratio. Fasting blood sugar of cases and controls was determined with the glucometer. Cases and controls were interviewed with Food frequency questionnaire and other questionnaires in order to assess the demographic and socioeconomic characters of the families. The results disclosed that most of the cases had family history of diabetes. In addition to that, cases were also found to have higher (p<0.05) average weight, height and body mass index, and fasting blood sugar level to those of controls. These results also revealed that there was a distinguished (p<0.05) association between dairy and fruit with the health status and about 1/3rd of both cases and controls had satisfactory consumption of dairy and fruit only. A significant link was found among family size, exercise, type of exercise, duration of exercise, watching television, duration of watching television and the status of disease. The study revealed that a combination of anthropometric, dietary and demographic variables were associated with type-II diabetes mellitus in male adult population of district Mardan.

Achilles tendon and plantar fascia in recently diagnosed type II diabetes: role of body mass index

2012 ◽  
Vol 31 (7) ◽  
pp. 1109-1113 ◽  
Author(s):  
Michele Abate ◽  
Cosima Schiavone ◽  
Luigi Di Carlo ◽  
Vincenzo Salini
Keyword(s):  
Body Mass Index ◽  
Achilles Tendon ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Plantar Fascia ◽  
Type Ii

scholarly journals Laparoscopic Roux-en-Y Gastric Bypass for the Treatment of Type II Diabetes Mellitus in Chinese Patients with Body Mass Index of 25–35

2011 ◽  
Vol 21 (9) ◽  
pp. 1344-1349 ◽  
Author(s):  
Chih-Kun Huang ◽  
Asim Shabbir ◽  
Chi-Hsien Lo ◽  
Chi-Ming Tai ◽  
Yaw-Sen Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gastric Bypass ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Chinese Patients ◽  
Type Ii

116 The Obesity Paradox in Type II Diabetes Mellitus. Impact of Body Mass Index on Prognosis

Heart ◽  
2014 ◽  
Vol 100 (Suppl 3) ◽  
pp. A66.1-A66 ◽  
Author(s):  
Pierluigi Costanzo ◽  
Pierpaolo Pellicori ◽  
John Cleland ◽  
Andrew Clark ◽  
David Hepburn ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Body Mass ◽  
Type Ii Diabetes ◽  
Obesity Paradox ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii

scholarly journals Semi-Markov Modelling of HIV/AIDS Disease Progression

2021 ◽  
Author(s):  
Tilahun Asena ◽  
Ayele Goshu ◽  
Mebratu Senbeta ◽  
Derbachew Teni
Keyword(s):  
Body Mass Index ◽  
Disease Progression ◽  
Body Mass ◽  
Waiting Time ◽  
Time Distribution ◽  
The Body ◽  
Waiting Time Distribution ◽  
Body Mass Index Increase ◽  
Hiv Aids

Abstract Background: HIV/AIDS epidemic continues to be the main challenge in the world. According to United Nations Program on HIV/AIDS (UNAIDS) and the World Health Organization (WHO) reports of 2013, 35 million people were living with HIV worldwide, with 2.1 million new infections and with 1.5 million deaths occurred each year. Among these, 24.7 million lived in sub-Saharan Africa with 1.5 million new infections and 1.1 million AIDS deaths.Method: The main objective of this study is finding factors affecting HIV/AIDS disease progression. This study was conducted to investigate the effect of factors on HIV/AIDS disease progression. Patient follow-up data is obtained at Yirgalim General Hospital. A sample of 370 Patient data from a follow-up cohort is obtained at Yirgalim General Hospital. Multivariate generalized hazard regression model was employed to investigate the disease progression using both time independent and time dependent covariates. Result: The study revealed that the risk of transition differs by patient's body mass index. Increase in the body mass index reduces the risk of transiting into the next worst states. The effects of sex, weight, age and body mass index of patients are significantly associated with AIDS disease progression. The risk of transition differs by patient's body mass index. Increase in the body mass index reduces the risk of transiting into the next worst states. The effect of sex, weight, age and body mass index of patients are significantly associated with AIDS disease progression. The results further revealed that the semi-Markov model with Weibull waiting time distribution has smaller log likelihood and AIC values compared to a semi-Markov model with exponential waiting time distribution.Conclusion: Transition probabilities are highly dependent on the choice of waiting times. We recommend that while choosing waiting time distributions for semi-Marko models one should consider appropriate distributions as waiting time distribution effect have a significant change on the estimated model parameters. In addition, this study recommends that concerned bodies should look at deferent contributing factors of AIDS diseases progression in addition to the ART services administered for slowing the current level of high diseased population in the country.

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