scholarly journals Impact of Body Mass Index on Survival of Metastatic Renal Cancer

2021 ◽  
Vol 8 (2) ◽  
pp. 49-54
Author(s):  
Jose Javier Salgado ◽  
Sergio Fernandez-Pello ◽  
Laura Ruger ◽  
Ivan Gonzalez ◽  
Laura Alonso ◽  
...  

Obesity has been established as a risk factor for renal cell carcinoma (RCC). Recently, studies have described obesity as a probable protecting factor in the metastatic stage of RCC. In this study, we assessed the relationship between body mass index (BMI) and overall survival in patients under systemic therapy.The correlation between BMI and overall median survival was studied in 76 patients diagnosed with metastatic RCC under systemic therapy. The groups were divided into overweight and obesity (BMI > 25 kg/m2) and underweight or normal (BMI < 25 kg/m2). Statistical analysis was performed using the Cox regression model adjusted by gender.A total of 76 patients were studied: 16 women (21%) and 60 men (79%). The median BMI was 27.96 kg/m2; 24 patients (31.6%) had low BMI and 52 (68.4%) had high BMI. Median overall survival in the group with BMI > 25 kg/m2 was 17 months (95% confidence interval [CI]: 13–34 months), while in the group with BMI ≤ 25 kg/m2, it was 14 months (95% CI: 8–20 months). When adjusted by gender, the group with BMI > 25 kg/m2 presented a hazards ratio of 0.54 (95% CI: 0.30–0.96), P = 0.044 (Log Rank).A high BMI significantly acts as a protecting factor. We observed an increased overall survival of overweight and obese patients within the context of metastatic RCC under systemic treatment. These data confirm the findings published in other studies that suggest the role of lipid metabolism in this type of tumors.

2021 ◽  
Author(s):  
Zaisheng Ye ◽  
Shenghong Wei ◽  
Yi Zeng ◽  
Yi Wang ◽  
Zhitao Lin ◽  
...  

Abstract AIM: This study was designed to investigate the prognostic effect of preoperative body mass index (BMI) for Type 2 diabetes mellitus (T2DM) patients with non-metastasis gastric cancer (GC) who underwent D2 gastrectomy.METHODS:T2DM patients with pT1-4bN0-3bM0 GC were retrospectively collected in our cancer center from January, 2000 to December, 2010. Chi-square test was used to analyze unordered categorical variables and ranked data, followed by Kaplan-Meier analysis as well as Cox regression models to detect risk factors for survival outcomes. In addition, the cut-off point was determined by the X-tile program. All analyses were carried out using survival package of R and SPSS Software. RESULTS: A total of 302 T2DM patients with pT1-4bN0-3bM0 GC were collected and analyzed. The cut-off point of BMI, identified by the X-tile program, was 19 kg/m2. Patients with low BMI (< 19 kg/m2) had a higher percentage of advanced T stage (T4a and T4b), more advanced TNM stage(stage IIIA, IIIB and IIIC), and more elevated level of serum carcinoembryonic antigen(CEA), compared to those with high BMI(>19 kg/m2)(all P < 0.05). In the low BMI subgroup, the 5-year overall survival rate was 39.02%, which was as high as 58.11% in the high BMI subgroup (P < 0.05). In the multivariate Cox regression model revealed that IIIC stage (OR= 3.101), N3b stage (OR= 3.113) were the most important prognostic indicators, followed by pretreatment BMI (OR= 2.136). CONCLUSION: Low preoperative BMI (<19 kg/m2) was a poor prognostic marker for T2DM patients with pT1-4bN0-3bM0 GC.


BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zaisheng Ye ◽  
Shenghong Wei ◽  
Yi Zeng ◽  
Yi Wang ◽  
Zhitao Lin ◽  
...  

Abstract Aim This study was designed to investigate the prognostic effect of preoperative body mass index (BMI) for Type 2 diabetes mellitus (T2DM) patients with non-metastasis gastric cancer (GC) who underwent D2 gastrectomy. Methods T2DM patients with pT1–4bN0–3bM0 GC were retrospectively collected in Department of Gastrointestinal Surgical Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital from January, 2000 to December, 2010. These patients underwent D2 radical resection of the stomach combined with regional lymphadenectomy. Chi-square test was used to analyze unordered categorical variables and ranked data, followed by Kaplan–Meier analysis as well as Cox regression models to detect risk factors for survival outcomes. In addition, the cut-off point was determined by the X-tile program. All analyses were carried out using survival package of R and SPSS Software. Results A total of 302 T2DM patients with pT1–4bN0–3bM0 GC were collected and analyzed. The cut-off points of BMI, identified by the X-tile program, was 19 kg/m2. Patients with low BMI (< 19 kg/m2) had a higher percentage of advanced T stage (T4a and T4b), more advanced TNM stage (stage IIIA, IIIB and IIIC), and more elevated level of serum carcinoembryonic antigen (CEA), compared to those with high BMI (> 19 kg/m2) (all P < 0.05). In the low BMI subgroup, the 5-year overall survival rate was 39.02%, which was as high as 58.11% in the high BMI subgroup (P < 0.05). In the multivariate Cox regression model revealed that IIIC stage (OR = 3.101), N3b stage (OR = 3.113) were the most important prognostic indicators, followed by pretreatment BMI (OR = 2.136). Conclusion Low preoperative BMI (< 19 kg/m2) was a poor prognostic marker for T2DM patients with pT1–4bN0–3bM0 GC.


EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
JW Park ◽  
PS Yang ◽  
HT Yu ◽  
TH Kim ◽  
ES Jang ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Obesity is known to be risk factor for incidence of cardiovascular (CV) events. However, the association between the reduction of body mass index (BMI) and incidence of cardiovascular event is not well established in elderly Asian population. Methods From the National Health Insurance Service-Senior (≥60 years) cohort from 2002 to 2013, 13,038 participants over 75 years old without baseline comorbidities (mean age: 78.4 ± 3.2 years 5243 (40.2%) male) were included in this study. We measured the change of BMI from first to second visit for health check-up within mean 23.6 ± 5.8months of follow-up. We categorized the reduction of BMI as five group according to the amount of change in BMI in overall patients (group 1: BMI change &lt;-10%, group 2: -10%≤BMI change&lt;-3%, group 3: -3% ≤ BMI change &lt; 3%, group 4: 3% ≤BMI change &lt; 10%, group 5: 10% ≤BMI change). We investigated the influence of change in BMI on the incidence of new-onset AF, stroke, acute myocardial infarction (MI), and CV mortality Results In the overall patients, new-onset AF, stroke, acute MI, and CV death was occurred in the 494 patients (3.5%), 775 patients (5.9%), 16 patients (0.1%), and 458 patients (3.5%) respectively. The Kaplan-Meier curve showed significant cumulative incidence rate of CV death in group 1 (Log rank p &lt; 0.001). The multivariate cox regression after adjusting for compound clinical covariates showed the risk of stroke (HR 1.43, 95% CI [1.09-1.89], p = 0.01) and CV death (HR 2.06, 95% CI [1.49-2.84] were significant higher in the group 1 as compared with group 3. In the high BMI (≥25) group, the risk of AF was significant higher in the group 5 as compared with group 3 (HR 2.38, 95% CI [1.02-5.54], p = 0.04). In contrast, the risk of stroke (HR 1.70, 95% CI [1.07-2.71], p = 0.02) and CV death (HR 3.27, 95% CI [1.66-6.41], p &lt; 0.001) was significant higher in the group 1 than in group 3. Conclusions In the elderly Asian population over 75 years old, the reduction of body weight affected worse effect on the incidence of stroke and CV death in overall patient and high BMI (≥25) group. It needs careful consideration to reduce BMI in the elderly Asian population even with high BMI (≥25) for purpose of CV events.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Kyra Peczkowski ◽  
Farbod Fazlollahi ◽  
Mohammed Mashali ◽  
Nancy Saad ◽  
Salome Kiduko ◽  
...  

Introduction: It remains unclear if body mass index (BMI) is correlated to the amount of cardiac adipose tissue in humans. Echocardiography is typically utilized to measure epicardial fat in live patients, but has yielded inconclusive results, as it is difficult to measure cardiac adipose tissue levels from a single location on a 1-dimensional image, as fat is not always distributed equally across the heart. Methods: Through the Ohio State Cardiac Research Tissue program, we have collected over 200 human hearts of various conditions. Multi-angle photographs are available for every heart. We developed an adipose tissue scoring system, so correlations can be drawn between the adipose tissue score (ATS), and BMI in failing and non-failing human hearts. Hearts were scored based on the multi-angle photographs. Each heart was given an atrial (AATS) and a ventricular score (VATS) ranging from 0-7, based on fat distribution and epicardial fat thickness. Nine sets of scores by individuals blinded to any patient information were averaged for each heart and the average ATS was plotted for correlation analyses against BMI and etiology. Results: A strong correlation was not apparent by plotting BMI versus VATS for all failing and non-failing hearts (R 2 = 0.011915 failing, 0.017262 non-failing). It is of interest to note that the lower right quadrant of the correlation plot is empty, indication that in patients with high BMI, the ATS was also high. However, in individuals with low BMI, there was a wide distribution of ATS. VATS and AATS are closely correlated in both failing (R 2 = 0.67082) and non-failing (R 2 = 0.84446) hearts. Conclusions: Our analysis shows that in humans, a high BMI is typically correlated with a high ATS score, but a low BMI does not necessarily correlate with a low ATS. The non-failing hearts have a stronger correlation between VATS and AATS compared to the failing hearts, suggesting that failing hearts do not always have an equal distribution of adipose tissue between the atria and ventricle. Future studies will investigate the presence of correlation between ATS with other parameters, such as age, gender, and race.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Woong-pyo Hong ◽  
Yu-Ji Lee

Abstract Background Although hemodialysis (HD) adequacy, single-pool Kt/Vurea (spKt/V), is inversely correlated with body size, each is known to affect patient survival in the same direction. Therefore, we sought to examine the relationship between HD adequacy and mortality according to body mass index (BMI) in HD patients and explore a combination effect of BMI and HD adequacy on mortality risk. Methods We retrospectively reviewed patient data from the Korean Society of Nephrology registry, a nationwide database of medical records of HD patients, from January 2001 to June 2017. We included patients ≥18 years old who were receiving maintenance HD. Patients were categorized into three groups according to baseline BMI (< 20 (low), 20 to < 23 (normal), and ≥ 23 (high) kg/m2). Baseline spKt/V was divided into six categories. Results Among 18,242 patients on HD, the median follow-up duration was 5.2 (IQR, 1.9–8.9) years. Cox regression analysis showed that, compared to the reference (spKt/V 1.2–1.4), lower and higher baseline spKt/V were associated with greater and lower risks for all-cause mortality, respectively. However, among patients with high BMI (n = 5588), the association between higher spKt/V and lower all-cause mortality was attenuated in all adjusted models (Pinteraction < 0.001). Compared to patients with normal BMI and spKt/V within the target range (1.2–1.4), those with low BMI had a higher risk for all-cause mortality at all spKt/V levels. However, the gap in mortality risk became narrower for higher values of spKt/V. Compared to patients with normal BMI and spKt/V in the target range, those with high BMI and spKt/V < 1.2 were not at increased risk for mortality despite low dialysis adequacy. Conclusions The association between spKt/V and mortality in HD patients may be modified by BMI.


Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2343
Author(s):  
Masahiro Shiozawa ◽  
Hidehiro Kaneko ◽  
Hidetaka Itoh ◽  
Kojiro Morita ◽  
Akira Okada ◽  
...  

Data on the association between body mass index (BMI) and stroke are scarce. We aimed to examine the association between BMI and incident stroke (ischemic or hemorrhagic) and to clarify the relationship between underweight, overweight, and obesity and stroke risk stratified by sex. We analyzed the JMDC Claims Database between January 2005 and April 2020 including 2,740,778 healthy individuals (Median (interquartile) age, 45 (38–53) years; 56.2% men; median (interquartile) BMI, 22.3 (20.2–24.8) kg/m2). None of the participants had a history of cardiovascular disease. Each participant was categorized as underweight (BMI <18.5 kg/m2), normal weight (BMI 18.5–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI ≥ 30 kg/m2). We investigated the association of BMI with incidence stroke in men and women using the Cox regression model. We used restricted cubic spline (RCS) functions to identify the association of BMI as a continuous parameter with incident stroke. The incidence (95% confidence interval) of total stroke, ischemic stroke, and hemorrhagic stroke was 32.5 (32.0–32.9), 28.1 (27.6–28.5), and 5.5 (5.3–5.7) per 10,000 person-years in men, whereas 25.7 (25.1–26.2), 22.5 (22.0–23.0), and 4.0 (3.8–4.2) per 10,000 person-years in women, respectively. Multivariable Cox regression analysis showed that overweight and obesity were associated with a higher incidence of total and ischemic stroke in both men and women. Underweight, overweight, and obesity were associated with a higher hemorrhagic stroke incidence in men, but not in women. Restricted cubic spline showed that the risk of ischemic stroke increased in a BMI dose-dependent manner in both men and women, whereas there was a U-shaped relationship between BMI and the hemorrhagic stroke risk in men. In conclusion, overweight and obesity were associated with a greater incidence of stroke and ischemic stroke in both men and women. Furthermore, underweight, overweight, and obesity were associated with a higher hemorrhagic stroke risk in men. Our results would help in the risk stratification of future stroke based on BMI.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5368-5368
Author(s):  
Yukako Hattori ◽  
Naoto Tomita ◽  
Taisei Suzuki ◽  
Yasufumi Ishiyama ◽  
Kumiko Kishimoto ◽  
...  

Abstract Background Obesity has been pointed out as one of the risk factors for the development in several neoplastic diseases including malignant lymphoma. However the impact of obesity on the outcome of malignant diseases is unclear. L.Weiss et al have shown that high body mass index (BMI) is a significantly better prognostic factor in diffuse large B-cell lymphoma (DLBCL) (Increased body mass index is associated with improved overall survival in diffuse large B-cell lymphoma. Annals of Oncology 2014; 25: 171-176.). We evaluated this hypothesis in Japanese patients with DLBCL. Patients and Methods We analyzed 338 patients with newly diagnosed DLBCL who received full-dose (80% or more of the prescribed dose) R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) between April 2003 and December 2009 across 7 institutes. Patients of all stages were treated 6 or 8 cycles of full-dose R-CHOP therapy. All the patients were classified into 2 groups: high BMI (≥25 kg/m2 ) or low BMI (<25 kg/m2). Results The median patient age was 65 years (19–80 years); 192 were men and 146 were women. The median BMI was 22.9 kg/m2 (14.1–40.4 kg/m2); 66 patients (19.5%) were in the high BMI group (median, 27.4 kg/m2) and 272 (80.5%) were in the low BMI group (median, 21.6 kg/m2). The median follow-up of patients who were alive (n = 271) was 67.5 months (12.6–121.8 months). The 5-year progression-free survival (PFS) and overall survival (OS) of the high versus low BMI groups were 63.9% versus 74.0% (P = 0.196) and 77.2% versus 84.2% (P = 0.230), respectively (Figure1,2). Multivariate analysis considering the sex, International Prognostic Index, B symptoms, bulky mass, and BMI showed that high BMI (≥25 kg/m2) was a significant adverse prognostic factor for both OS (hazard ratio [HR], 1.906; 95% confidence interval [CI], 1.08-3.376; P = 0.027) and PFS (HR, 1.710; 95% CI, 1.054-2.774; P = 0.030). Conclusion The results of our study indicated that high BMI was an adverse prognostic factor of DLBCL. It is necessary to investigate BMI and its influence on patient background or treatment in much more cases. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 324-324
Author(s):  
Wanning Wang ◽  
Joelle Soriano ◽  
Tyler Soberano ◽  
Katrina Hueniken ◽  
M. Catherine Brown ◽  
...  

324 Background: Blood-based-inflammation-markers (BBIM) and Body Mass Index (BMI) have been associated with overall survival (OS) in a number of cancers. Inflammation and obesity have biological interactions. We evaluated the role of Neutrophil-to-Lymphocyte-Ratio (NLR), Platelet-to-Lymphocyte-Ratio (PLR) and Systemic-Inflammation-Index (SII) in conjunction with BMI as predictors of OS in localized/locally-advanced-esophageal cancer (LEC/LAEC). Methods: LEC/LAEC patients treated from 2006-2014 had the following variables analyzed both as continuous and categorical: BMI (low <25 kg/m2, high ≥25 kg/m2), NLR (low <4, high ≥4), PLR (low <232, high ≥232), and SII (low <1375, high ≥1375), with OS. Univariate (UVA) and Multivariate analysis (MVA) were analyzed using Cox regression (adjusted hazard ratios, aHR; 95% Confidence Intervals, CI). MVA models of OS were built, assessing different categorical combinations of BBIM factors with and without BMI. Results: Of 411 pts, 79% were males, median age was 63.5 years, 67% were adenocarcinomas; Stage I/II/III: 14%, 28%, 59%; Median BMI was 26.5kg/m2 and BMI distribution was: 3% underweight, 40% normal weight, 37% overweight and 20% obese. After a median follow-up of 87 months, 204 pts recurred, and 257 died. In MVA, BMI alone had no impact on OS (aHR 0.89, CI 0.7-1.1, p=0.15); individually as continuous variables, higher SII (p=0.03) and higher NLR (p=0.006) were inversely associated with OS whereas higher PLR was not (p=0.10). In an MVA of categorical combinations of BMI and BBIM on OS, patients in the high-BMI/low-PLR group were at lower risk of death when compared to all other groups (aHR=0.65, 95%CI:0.5-0.8, p=0.007). Similar non-statistically significant trends were shown when SII and NLR were individually combined with BMI (aHR=0.77, 95%CI:0.6-1.0, p=0.09; aHR=0.74, 95%CI:0.5-1.0, p=0.05, respectively). Conclusions: Our results suggest that in LEC/LAEC pts, high BMI and low PLR together are associated with improved OS when compared to pts with low BMI and/or high PLR. NLR and SII alone were associated with OS. Further studies evaluating the underlying mechanisms of BBMI, in particular PLR and inflammation/obesity are warranted.


2010 ◽  
Vol 38 (3) ◽  
pp. 434-438 ◽  
Author(s):  
UMA D. VELPULA ◽  
SUMEET AGRAWAL ◽  
JOE THOMAS ◽  
V.N. NAGA PRABU ◽  
LIZA RAJASEKHAR ◽  
...  

Objective.Various factors affect joint damage in rheumatoid arthritis (RA). The influence of body mass index (BMI) is not adequately known. As BMI is potentially modifiable, we studied its influence on radiological joint damage in patients with RA.Methods.Treatment-naive patients with early RA (< 24 mo) were included. Demographic data were collected along with swollen joint count (SJC), tender joint count (TJC), erythrocyte sedimentation rate (ESR), and IgM-rheumatoid factor (IgM-RF). Radiographs of hands and feet were obtained. BMI and Disease Activity Score for 28-joint count (DAS28-ESR) were calculated. Joint damage was assessed using the Simplified Erosions Narrowing Score (SENS).Results.A total of 101 patients were studied (81 women; mean age 41.91 ± 11.99 yrs). Mean disease duration was 10.77 ± 6.73 months; 55 patients (54.5%) were IgM-RF-positive. Mean BMI was 22.82 ± 4.66 kg/m2 with 24 (23.8%) patients having low, 42 (41.6%) normal, and 35 (34.7%) high BMI. Mean SENS score was 16.81 ± 11.10; mean DAS28 was 6.23 ± 0.96. Significant correlation was noted between SENS and DAS28 (r = 0.28; p < 0.005). There was significant negative correlation between BMI and SENS (r = −0.509; p < 0.0005). In patients with low BMI, mean SENS (26.62 ± 13.45) was significantly higher than in patients with normal (15.88 ± 8.38; p < 0.001) and high BMI (11.20 ± 7.32; p < 0.001). Patients with normal BMI also had significantly higher SENS scores than those with high BMI (p < 0.05). One-way ANOVA did not reveal significant differences in DAS28 between groups. SENS was significantly higher in the IgM-RF-positive group (19.55 ± 11.36) than in the IgM-RF-negative group (13.54 ± 9.94; p < 0.01); DAS28 was not different between the 2 groups (6.22 ± 0.98 vs 6.26 ± 0.96, respectively). Within the 2 IgM-RF groups, a significant negative correlation was seen between BMI and SENS. Multiple regression analysis revealed RF, DAS28, and BMI were independently associated with SENS. BMI accounted for 23.04% of the variance in SENS independent of DAS28 and IgM-RF.Conclusion.Low BMI is adversely associated with joint damage in patients with early RA.


2019 ◽  
Vol 220 (9) ◽  
pp. 1469-1476 ◽  
Author(s):  
Kaifeng Wang ◽  
Weiyin Lin ◽  
Zhe Kuang ◽  
Rong Fan ◽  
Xieer Liang ◽  
...  

Abstract Background Little is known about cause and intervention for alanine aminotransferase (ALT) elevation after complete viral suppression in patients with chronic hepatitis B (CHB). Methods In this prospective cohort study, patients with CHB who were treated with nucleos(t)ide analogs and maintained undetectable levels of hepatitis B virus (HBV) deoxyribonucleic acid (DNA) for at least 6 months were enrolled. Patients were followed up at 6-month intervals, and anthropometric, biochemical, and virological assessments were performed. Results Of 1965 patients with median follow-up of 18.36 months, one third of patients experienced ALT elevation. Baseline high body mass index ([BMI] defined as ≥25 kg/m2), younger age, and liver cirrhosis independently increased the risk of longitudinal ALT elevation. At the end of follow-up, 89 (4.8%) patients reverted to low BMI, and 92 (5.0%) developed to high BMI. Compared with persistent high BMI, reversion to low BMI reduced the risk of ALT elevation (adjusted odds ratio [aOR], 0.38; 95% confidence interval [CI], 0.19–0.77); compared with persistent low BMI, onset of high BMI increased the risk of ALT elevation (aOR, 1.78; 95% CI, 1.02–3.11). Conclusions High BMI is an independent predictor for ALT elevation after complete HBV DNA suppression. Improvement of BMI may have a beneficial effect on ALT normalization and even long-term outcomes.


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