Effect of pre-pregnancy body mass index on respiratory-related neonatal outcomes in women undergoing elective cesarean prior to 39 weeks

2018 ◽  
Vol 46 (8) ◽  
pp. 905-912 ◽  
Author(s):  
Sophie Vincent ◽  
Nicholas Czuzoj-Shulman ◽  
Andrea R. Spence ◽  
Haim A. Abenhaim
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Assisted Ventilation ◽  
Normal Weight ◽  
Adverse Outcomes ◽  
Elective Cesarean Section ◽  
Morbidly Obese ◽  
Obese Women ◽  
Increased Risk ◽  
Elective Cesarean

AbstractObjectiveTo examine the association between pre-pregnancy body mass index (BMI) and neonatal respiratory-related outcomes among women who underwent an elective cesarean section (CS).MethodsA retrospective cohort study was conducted using the Centers for Disease Control and Prevention (CDC)’s 2009–2013 period linked birth/infant death dataset. Women who had elective CSs at term were categorized by their pre-pregnancy BMI as normal, overweight, obese or morbidly obese. Odds ratios (OR) and 95% confidence intervals (CIs), adjusted for baseline characteristics, were calculated using multivariate logistic regression to estimate the neonatal risks in relation to maternal pre-pregnancy BMI.ResultsOur cohort consisted of 717,080 women, of whom 39.9% had normal BMI, 27.0% were overweight, 25.7% obese and 7.4% morbidly obese. A dose-dependent relationship between maternal pre-pregnancy BMI and assisted ventilation was seen. Furthermore, infants born to morbidly obese women were at significantly increased risk for assisted ventilation over 6 h (OR 1.24, 95% CI 1.15–1.35) and admission to intensive care units (OR 1.17, 95% CI 1.13–1.21). Infant mortality rates were 4.2/1000 births for normal weight women, and 5.5/1000 births among the morbidly obese group (OR 1.43, 95% CI 1.25–1.64). Risk for adverse outcomes was increased with elective SC performed at earlier gestational age, and this effect was not modified by use of corticosteroids.ConclusionOverweight and obese women are at particularly greater risk of adverse newborn outcomes when elective CSs are done before 39 weeks. In these women, elective CSs should be delayed until 39 weeks, as corticosteroid use did not eliminate this association.

Abstract 15842: Body Mass Index in Covid-19: An Independent Risk Factor for Severe Infections

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Jeanne du Fay de Lavallaz ◽  
Setri Fugar ◽  
Joanne Michelle M Gomez ◽  
Sean Swearingen ◽  
Gianna Bosco ◽  
...  
Keyword(s):  
Body Mass ◽  
Normal Weight ◽  
Adverse Outcomes ◽  
Hospital Death ◽  
Multivariable Logistic Regression Analysis ◽  
Morbidly Obese ◽  
Class Iii ◽  
Obesity Class ◽  
Increased Risk ◽  
Underweight Patients

Introduction: The coronavirus disease 2019 (COVID-19) led to a global pandemic. Comorbidities such as hypertension, diabetes mellitus, elevated cholesterol, cardiac/pulmonary diseases, and obesity were postulated as prognostic factors for a worse outcome. Hypothesis: Obese COVID-19 patients have a worse prognosis. Methods: From March to June 2020, we obtained data on all patients ≥18 y.o. who were admitted with a positive COVID-19 test at the Rush System, Chicago. Multivariable logistic regression analysis was performed between predictors and a composite outcome of intubation and in-hospital mortality. Results: Among the 1345 admitted patients, 69 (5%) were underweight (BMI<18.5kg/m2), 365 (27%) of normal weight (BMI 18.5-25kg/m2), 405 (30%) overweight (BMI 25-30kg/m2), 258 (19%) of obesity class I (BMI 30-35kg/m2), 119 (9%) of obesity class II (BMI 35-40kg/m2) and 129 (10%) of obesity class III (BMI >40kg/m2). In a multivariable model assessing the risk for the in-hospital death or intubation, underweight patients showed decreased risk (odds ratio (OR) 0.31) while obesity class III patients showed increased risk (OR 1.68, Figure 1) when compared to normal BMI. When accounting for obesity classes, male sex, atrial fibrillation and coronary artery disease were also independent predictors adverse outcomes. Conclusions: Consistent with previous research, morbidly obese patients had a higher risk for a worse outcome, even when accounting for numerous comorbidities. Underweight patients appeared to be protected. Higher body mass leads to inherent changes in lung function, increased risk of thrombosis, greater viral replication, higher release of adipokines and higher inflammation. Inversely, fewer adipocytes could possibly limit the risk for cytokine storm by reducing the amount of proinflammatory factors released. Figure: Odds ratios with 95% confidence intervals for the outcome of death or intubation in all COVID-19 positive admitted patients.

Body mass index and human sperm quality: neither one extreme nor the other

2017 ◽  
Vol 29 (4) ◽  
pp. 731 ◽  
Author(s):  
E. M. Luque ◽  
A. Tissera ◽  
M. P. Gaggino ◽  
R. I. Molina ◽  
A. Mangeaud ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Sperm Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Normal Weight ◽  
Semen Parameters ◽  
Morbidly Obese ◽  
Epididymal Maturation ◽  
Increased Risk

The aim of the present study was to investigate the still contentious association between body mass index (BMI) and seminal quality. To this end, 4860 male patients (aged 18–65 years; non-smokers and non-drinkers), were classified according to BMI as either underweight (UW; BMI <20 kg m–2; n = 45), normal weight (NW; BMI 20–24.9 kg m–2; n = 1330), overweight (OW; BMI 25–29.9 kg m–2; n = 2493), obese (OB; BMI 30–39.9 kg m–2; n = 926) or morbidly obese (MOB; BMI ≥40 kg m–2; n = 57). Conventional semen parameters and seminal concentrations of fructose, citric acid and neutral α-glucosidase (NAG) were evaluated. The four parameters that reflect epididymal maturation were significantly lower in the UW and MOB groups compared with NW, OW and OB groups: sperm concentration, total sperm count (103.3 ± 11.4 and 121.5 ± 20.6 and vs 157.9 ± 3.6, 152.4 ± 2.7 or 142.1 ± 4.3 spermatozoa ejaculate–1 respectively, P < 0.05), motility (41.8 ± 2.5 and 42.6 ± 2.6 vs 47.8 ± 0.5, 48.0 ± 0.4 or 46.3 ± 0.6 % of motile spermatozoa respectively, P < 0.05) and NAG (45.2 ± 6.6 and 60.1 ± 7.9 vs 71.5 ± 1.9, 64.7 ± 1.3 or 63.1 ± 2.1 mU ejaculate-1 respectively, P < 0.05). Moreover, the percentage of morphologically normal spermatozoa was decreased in the MOB group compared with the UW, NW, OW and OB groups (4.8 ± 0.6% vs 6.0 ± 0.8%, 6.9 ± 0.1%, 6.8 ± 0.1 and 6.4 ± 0.2%, respectively; P < 0.05). In addition, men in the MOB group had an increased risk (2.3- to 4.9-fold greater) of suffering oligospermia and teratospermia (P < 0.05). Both morbid obesity and being underweight have a negative effect on sperm quality, particularly epididymal maturation. These results show the importance of an adequate or normal bodyweight as the natural best option for fertility, with both extremes of the BMI scale as negative prognostic factors.

scholarly journals Body mass index and clinical outcomes in patients with intracerebral haemorrhage: results from the China Stroke Center Alliance

2021 ◽  
pp. svn-2020-000534
Author(s):  
Zhentang Cao ◽  
Xinmin Liu ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yingyu Jiang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hospital Mortality ◽  
Body Mass ◽  
Intracerebral Haemorrhage ◽  
Final Analysis ◽  
Normal Weight ◽  
Discharge Disposition ◽  
Increased Risk ◽  
Significant Difference ◽  
Stroke Center

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of body mass index (BMI) with in-hospital mortality, complications and discharge disposition in ICH.MethodsData were from 85 705 ICH enrolled in the China Stroke Center Alliance study. Patients were divided into four groups: underweight, normal weight, overweight and obese according to Asian-Pacific criteria. The primary outcome was in-hospital mortality. The secondary outcomes included non-routine discharge disposition and in-hospital complications. Discharge to graded II or III hospital, community hospital or rehabilitation facilities was considered non-routine disposition. Multivariable logistic regression analysed association of BMI with outcomes.Results82 789 patients with ICH were included in the final analysis. Underweight (OR=2.057, 95% CI 1.193 to 3.550) patients had higher odds of in-hospital mortality than those with normal weight after adjusting for covariates, but no significant difference was observed for patients who were overweight or obese. No significant association was found between BMI and non-disposition. Underweight was associated with increased odds of several complications, including pneumonia (OR 1.343, 95% CI 1.138 to 1.584), poor swallow function (OR 1.351, 95% CI 1.122 to 1.628) and urinary tract infection (OR 1.532, 95% CI 1.064 to 2.204). Moreover, obese patients had higher odds of haematoma expansion (OR 1.326, 95% CI 1.168 to 1.504), deep vein thrombosis (OR 1.506, 95% CI 1.165 to 1.947) and gastrointestinal bleeding (OR 1.257, 95% CI 1.027 to 1.539).ConclusionsIn patients with ICH, being underweight was associated with increased in-hospital mortality. Being underweight and obese can both increased risk of in-hospital complications compared with having normal weight.

Anaesthetic Management of a Super Morbid Obese Patient

2021 ◽  
Vol 8 (32) ◽  
pp. 3039-3042
Author(s):  
Lekshmi Raj Jalaja ◽  
Stuti Lohia ◽  
Priyadarsini Bentur ◽  
Ravi Ramgiri
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Recovery Period ◽  
Well Being ◽  
Anaesthetic Management ◽  
The Body ◽  
World Health ◽  
Morbidly Obese ◽  
Multisystem Disorder ◽  
Increased Risk

‘Obesity’ is defined as a condition with excess body fat to the extent that health and well-being are adversely affected and uses a class system based on the body mass index (BMI), by the world health organization (WHO). Anaesthetic management of morbidly obese is challenging, as there is an increased risk of perioperative respiratory insufficiency and supplemental oxygen must be given throughout recovery period. The incidence of morbid obesity continues to grow and anaesthesiologists are exposed to obese patients presenting for various procedures. The prevalence of obesity is on the upward trend worldwide. Obesity is a multisystem disorder, involving the respiratory and cardiovascular systems, and therefore, undergoing a surgical procedure under anaesthesia may entail a considerable risk. Thus, a multidisciplinary approach is required in treating such patients. Quantification of the extent of obesity is done using the body mass index. BMI is defined as the relationship between weight and height (weight [kg] / height2 [m2 ]).

scholarly journals Analisis Antimullerian Hormon (AMH) di Dalam Serum pada Berbagai Kategori Indeks Masa Tubuh

2019 ◽  
Vol 5 (1) ◽  
pp. 162-168
Author(s):  
Didik Rio Pambudi ◽  
Ashon Sa�adi ◽  
Sudjarwo Sudjarwo
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Uterine Bleeding ◽  
Obese Women ◽  
Height Measurement ◽  
Normality Test ◽  
Laboratory Infection ◽  
Special Hospital ◽  
The Relationship

Obesity-related to the result of decreased reproduction. Obese women are more prone to abnormal anovulation and uterine bleeding, endometrial hyperplasia/cancer, infertility, miscarriage, and pregnancy complications, compared to women of normal weight. This study aims to determine the levels of anti-Mullerian hormone (AMH) in the serum at various BMI (body mass index), also to determine the relationship and correlation between obesity and AMH levels in serum. The population in the study were women aged 20 years to 40 years with less BMI, Normal BMI and Obesity BMI. The study subjects were women between the ages of 20 to 40 years with a BMI less than 17-19.9, obesity BMI = 25 and normal BMI 20-25 as controls. Height measurement, weight weighing, and BMI calculation carried out according to the standard and subject to approval. Taking blood samples for the examination of AMH levels carried out by the RSKI laboratory (Infection Special Hospital) Airlangga University. The results of the data processed with SPSS 25 with the Shapiro-Wilk normality test and Mann Whitney statistical analysis for different tests and Spearman analysis for the correlation test. The results of the study found homogeneous samples, there were no significant differences between the AMH levels of the less and obese groups with, p = 0.832 (p> 0.05). AMH levels in BMI were less (0.459 � 0.112 ng / mL) than obesity BMI (0.432 � 0.058 ng / mL), so it was concluded that AMH levels did not correlate with less BMI with obesity BMI, with a correlation value (r) = -0.105 (p = 0.643; p> 0.05). The results of this study concluded that body mass index not related and does not correlate with the levels of anti-Mullerian hormone in the serum.

scholarly journals Maternal Body Mass Index and Breastfeeding Non-Initiation and Cessation: A Quantitative Review of the Literature

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2684
Author(s):  
Kyoko Nomura ◽  
Sachiko Minamizono ◽  
Kengo Nagashima ◽  
Mariko Ono ◽  
Naomi Kitano
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Maternal Body Mass Index ◽  
Review Of The Literature ◽  
Maternal Body ◽  
Cross Sectional ◽  
Quantitative Review ◽  
Increased Risk ◽  
Meta Analyses

This study aims to investigate which maternal body mass index (BMI) categories are associated with the non-initiation or cessation of breastfeeding (BF) based on a quantitative review of the literature. We searched Ovid MEDLINE and EBSCO CINAHL for peer-reviewed articles published between 1946 (MEDLINE) or 1981 (CINAHL), and 2019. Selected studies were either cross-sectional or cohort studies, of healthy mothers and infants, that reported nutrition method (exclusive/full or any) and period (initiation/duration/cessation) of breastfeeding according to maternal BMI levels. Pairwise meta-analyses of 57 studies demonstrated that the pooled odds risks (OR) of not initiating BF among overweight and obese mothers compared to normal weight mothers were significant across 29 (OR 1.33, 95% confidence interval (CI), 1.15–1.54, I2 = 98%) and 26 studies (OR 1.61, 95% CI, 1.33–1.95, I2 = 99%), respectively; the pooled risks for BF cessation were inconsistent in overweight and obese mothers with substantial heterogeneity. However, we found that overweight mothers (n = 10, hazard ratio (HR) 1.16, 95% CI, 1.07–1.25; I2 = 23%) and obese mothers (n = 7, HR 1.45, 95% CI: 1.27–1.65; I2 = 44%) were both associated with an increased risk of not continuing any BF and exclusive BF, respectively. Overweight and obese mothers may be at increased risk of not initiating or the cessation of breastfeeding.

Does obesity affect the short-term outcomes after cardiothoracic surgery in adolescents with congenital heart disease?

2020 ◽  
Vol 30 (3) ◽  
pp. 372-376 ◽  
Author(s):  
Richard U. Garcia ◽  
Preetha L. Balakrishnan ◽  
Sanjeev Aggarwal
Keyword(s):  
Body Mass Index ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Body Mass ◽  
Congenital Heart ◽  
Adverse Outcome ◽  
Normal Weight ◽  
Adverse Outcomes ◽  
Short Term ◽  
The Impact

AbstractBackground:Obesity is a modifiable, independent risk factor for mortality and morbidity after cardiovascular surgery in adults. Our objective was to evaluate the impact of obesity on short-term outcomes in adolescents undergoing surgery for congenital heart disease (CHD).Methods:This retrospective chart review included patients 10–18 years of age who underwent CHD surgery. Our exclusion criteria were patients with a known genetic syndrome, heart transplantation, and patients with incomplete medical records. The clinical data collected included baseline demographics and multiple perioperative variables. Charting the body mass index in the Centers for Disease Control and Prevention growth curves, the entire cohort was divided into three categories: obese (>95th percentile), overweight (85th–95th percentile), and normal weight (<85th percentile). The composite outcome included survival, arrhythmias, surgical wound infection, acute neurologic injury, and acute kidney injury.Results:The study cohort (n = 149) had a mean standard deviation (SD), body mass index (BMI) of 22.6 ± 6.5 g/m2, and 65% were male. There were 27 obese (18.1%), 24 overweight (16.1%), and 98 normal weight (65.8%) patients. Twenty-seven (18%) patients had composite adverse outcomes. Overweight and obese patients had significantly higher adverse outcomes compared with normal weight patients (odds ratio (OR): 2.9; confidence interval (CI): 1–8.5, p = 0.04 and OR: 3; CI: 1–8.5, p = 0.03, respectively). In multivariate analysis, obesity was an independent predictor of adverse outcome in our cohort (p = 0.04).Conclusions:Obesity is associated with short-term adverse outcome and increased health resource utilisation in adolescents following surgery for CHD. Further studies should evaluate if intervention in the preoperative period can improve outcomes in this population.

Total gestational weight gain and the risk of preeclampsia by pre-pregnancy body mass index categories: a population-based cohort study from 2013 to 2017

2019 ◽  
Vol 47 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Tanja Premru-Srsen ◽  
Zorana Kocic ◽  
Vesna Fabjan Vodusek ◽  
Ksenija Geršak ◽  
Ivan Verdenik
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Odds Ratio ◽  
Protective Factor ◽  
Population Based ◽  
Normal Weight ◽  
Obese Women ◽  
Gestational Weight

Abstract Background Identifying the risk factors for preeclampsia (PE) is essential for the implementation of preventive actions. In the present study, we aimed at exploring the association between total gestational weight gain (GWG) and PE. Methods We performed a population-based cohort survey of 98,820 women with singleton pregnancies who delivered in Slovenia from 2013 to 2017. Aggregated data were obtained from the National Perinatal Information System (NPIS). The main outcome measure was the incidence of PE. The main exposure variable was total GWG standardized for the gestational duration by calculating the z-scores. The associations between total GWG and PE stratified by pre-pregnancy body mass index (BMI) categories adjusted for a variety of covariates were determined using multivariable logistic regression. We calculated the crude odds ratio (OR) and adjusted odds ratio (aOR) with a 95% confidence interval using a two-way test. Results Excessive GWG was associated with increased odds of PE in all pre-pregnancy BMI categories. The increase in the odds of PE by 445% was the highest in underweight women and by 122% was the lowest in obese women. Low GWG was associated with decreased odds of PE in all pre-pregnancy BMI categories except in normal-weight women with a GWG below −2 standard deviation (SD) and underweight women. The decrease in the odds of PE by 67% was the highest in obese women and by 41% was the lowest in normal-weight women. Conclusion Excessive GWG is a significant risk factor for PE, especially in underweight women, while low GWG is an important protective factor against PE, especially in obese women.

scholarly journals Body Mass Index and Total Symptom Burden in Myeloproliferative Neoplasms Discovery of a U-shaped Association

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2202 ◽  
Author(s):  
Sarah Friis Christensen ◽  
Robyn Marie Scherber ◽  
Nana Brochmann ◽  
Martin Goros ◽  
Jonathan Gelfond ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Myeloproliferative Neoplasms ◽  
Philadelphia Chromosome ◽  
Myeloproliferative Neoplasm ◽  
Symptom Burden ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Cross Sectional ◽  
Increased Risk

Elevated body mass index (BMI) is a global health problem, leading to enhanced mortality and the increased risk of several cancers including essential thrombocythemia (ET), a subtype of the Philadelphia-chromosome negative myeloproliferative neoplasms (MPN). Furthermore, evidence states that BMI is associated with the severity of symptom burden among cancer patients. MPN patients often suffer from severe symptom burden. The purpose of this study was to examine whether deviations from a normal BMI in an MPN population are associated with higher symptom burden and reduced quality of life (QoL). A combined analysis of two large cross-sectional surveys, the Danish Population-based Study, MPNhealthSurvey (n = 2044), and the international Fatigue Study (n = 1070), was performed. Symptoms and QoL were assessed using the validated Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF). Analysis of covariance was used to estimate the effects of different BMI categories on symptom scores while adjusting for age, sex, and MPN subtype. A U-shaped association between BMI and Total Symptom Burden was observed in both datasets with significantly higher mean scores for underweight and obese patients relative to normal weight (mean difference: underweight 5.51 (25.8%), p = 0.006; obese 5.70 (26.6%) p < 0.001). This is an important finding, as BMI is a potentially modifiable factor in the care of MPN patients.

scholarly journals Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors

2007 ◽  
Vol 51 (6) ◽  
pp. 972-979 ◽  
Author(s):  
José Antonio M. Marcondes ◽  
Sylvia A.Y. Hayashida ◽  
Cristiano R.G. Barcellos ◽  
Michelle P. Rocha ◽  
Gustavo A.R. Maciel ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Polycystic Ovary Syndrome ◽  
Body Mass ◽  
Polycystic Ovary ◽  
Hdl Cholesterol ◽  
Morbidly Obese ◽  
Age Difference ◽  
Obese Women ◽  
Ovary Syndrome

The aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 ± 7.8 kg/m² and 25.0 ± 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 ± 5.3 vs. 24.2 ± 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 ± 7.7 vs. 26.9 ± 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 ± 1,007 vs. 2,594 ± 1,563; p = 0.007) and HOMA-IR were higher (9.9 ± 9.7 vs. 4.6 ± 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides > 150 mg/dL.

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