scholarly journals Impact of different cut-off limits of peak GH after GHRH-arginine stimulatory test, single IGF1 measurement, or their combination in identifying adult patients with GH deficiency

2011 ◽  
Vol 164 (5) ◽  
pp. 685-693 ◽  
Author(s):  
Fausto Bogazzi ◽  
Luca Manetti ◽  
Martina Lombardi ◽  
Clara Giovannetti ◽  
Valentina Raffaelli ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Gh Deficiency ◽  
High Sensitivity ◽  
High Specificity ◽  
Normal Subjects ◽  
Pituitary Hormone ◽  
Clinical Context ◽  
The Impact ◽  
Gh Deficit

ObjectiveTo evaluate the impact of different peak GH cut-off limits after GHRH-Arg test, IGF1 measurement, or their combination in identifying patients with GH deficit (GHD).Design and patientsTotally, 894 normal subjects (used for determining IGF1 normative limits) and 302 patients with suspected GHD were included. Different peak GH cut-off limits (used by European (depending on body mass index (BMI)) or North American (4.1 μg/l) Endocrine Societies, by HypoCCs (2.5 μg/l), or with 95% specificity (based on BMI), Method 1, 2, 3, or 4 respectively) and IGF1 were considered.MethodsPeak GH after GHRH-Arg and IGF1.ResultsDifferent peak GH cut-off limits recognized different proportions of GHD (range, 24.8–62.9%). Methods 1 and 2 with high sensitivity recognized a higher proportion (95.5 and 92.5% respectively) of GHD among patients with three (T) pituitary hormone deficits (HD), whereas Method 4 (with high specificity) identified 96.7% normal subjects among those without pituitary HD; on the contrary, Method 4 identified only 75% GHD among patients with THD, whereas Method 1 recognized a high proportion (40%) of GHD among subjects without HD. Of the total patients, 82% with THD and 84.5% without HD were recognized as GHD or normal respectively by IGF1. Among the remaining patients with THD and normal IGF1, 75% was recognized as GHD by Method 1; among patients without HD and abnormal IGF1, 87.5% was identified as normal by Method 4. Overall, combination of IGF1 and Method 1 or Method 4 identified 95.5% GHD among patients with THD and 98.1% normal subjects among those without HD.ConclusionsSingle peak GH cut-offs have limits to sharply differentiate GHD from normal subjects; IGF1 may be used for selecting patients to be submitted to the GHRH-Arg test; the peak GH cut-off limits to be used for identifying healthy or diseased patients depend mainly on the clinical context.

scholarly journals The cut-off limits of the GH response to GH-releasing hormone-arginine test related to body mass index

2005 ◽  
Vol 153 (2) ◽  
pp. 257-264 ◽  
Author(s):  
Ginevra Corneli ◽  
Carolina Di Somma ◽  
Roberto Baldelli ◽  
Silvia Rovere ◽  
Valentina Gasco ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Gh Deficiency ◽  
Pituitary Hormone ◽  
Obese Patients ◽  
Releasing Hormone ◽  
Gh Secretion ◽  
Control Subjects ◽  
Optimal Separation ◽  
And Control

Objective: The diagnosis of growth hormone (GH) deficiency (GHD) in adults is based on a reduced peak GH response to provocative tests, such as the insulin tolerance test (ITT) and the GH-releasing hormone-arginine (GHRH-ARG) test. However, the cut-off limits of peak GH response in lean subjects are not reliable in obese patients; this is noteworthy since adult GHD is often associated with obesity. Aim of this study was to evaluate the diagnostic cut-off limits of peak GH response to the GHRH-ARG test in overweight and obese as well as in lean population. Design and methods: The GH responses to the GHRH-ARG test were studied in 322 patients with organic hypothalamic-pituitary disease and in 318 control subjects. Patients were subdivided into two groups on the basis of the number of pituitary hormone deficits, except for GH deficiency: (a) patients with total pituitary hormone deficit (TPHD) and (b) patients without or with no more than two pituitary hormone deficits (PHD). Both patients and control subjects were divided into three subgroups according to body mass index (BMI): lean (BMI <25 kg/m2), overweight (BMI ≥25 and <30 kg/m2) and obese (BMI ≥30 kg/m2). TPHD patients were assumed to be GH deficient, whereas PHD patients may include subjects with either normal or impaired GH secretion. The statistical analysis was carried out by the Receiver-Operating Characteristic curve analysis (Medcalc 7.2). The diagnostic cut-off points were calculated for lean, overweight and obese subjects to provide optimal separation of GH-deficient patients and control subjects according to two criteria: (1) a balance between high sensitivity and high specificity; (2) to provide the highest pair of sensitivity/specificity values for GH deficiency. Results: In the lean population the best pair of values, with highest sensitivity as 98.7% and highest specificity as 83.7%, was found using a peak GH cut-off point of 11.5 μg/l. In the overweight population the best pair of values, 96.7 and 75.5%, respectively, was found using a peak GH cut-off point of 8.0 μg/l. In the obese population the best pair of values, 93.5 and 78.3%, respectively, was found using a peak GH cut-off point of 4.2 μg/l. Applying the above mentioned cut-off points, among PHD patients we found that 80 subjects (72%) were GHD whereas 31 (28%) had normal GH secretion. Conclusions: In conclusion the GHRH-ARG test is a reliable tool for the diagnosis of adult GH deficiency in lean, overweight and obese patients, provided that specific BMI-related cut-off limits are assumed.

scholarly journals The effect of body mass index on the diagnosis of GH deficiency in patients at risk due to a pituitary insult

2010 ◽  
Vol 162 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Marinella Tzanela ◽  
Dimitra Zianni ◽  
Kalliopi Bilariki ◽  
Alexandros Vezalis ◽  
Nikos Gavalas ◽  
...  
Keyword(s):  
Body Mass Index ◽  
At Risk ◽  
Body Mass ◽  
Healthy Subjects ◽  
Gh Deficiency ◽  
Normal Weight ◽  
Pituitary Function ◽  
Pituitary Hormone ◽  
Patients At Risk ◽  
Ghrh Test

ObjectivesDiminished GH response to stimulation has been demonstrated in obesity, leading to erroneous diagnosis of GH deficiency. The aim of this study was to evaluate the influence of body mass index (BMI) on GH responsiveness in patients at risk for pituitary function deficits.MethodsA total of 59 healthy subjects and 75 patients with a pituitary insult underwent insulin tolerance test or pyridostigmine+GHRH test in order to assess GH secretory reserve. Normal subjects and patients were classified as normal weight (BMI <24.9 kg/m2), overweight (BMI 25–29.9 kg/m2), and obese (BMI >30 kg/m2).ResultsAll normal individuals with BMI <24.9 kg/m2 demonstrated adequate GH responses, while three of the 21 overweight (14.3%) and nine of the 28 obese subjects (32.1%) did not respond to GH stimulation. Among patients, four of 14 (28.6%) with BMI <24.9 kg/m2, 18 of 22 (81.8%) who were overweight, and 28 of 39 (71.7%) who were obese did not respond to GH stimulation. Of the 46 nonresponder patients with increased BMI, nine (19.6%) had normal insulin-like growth factor 1 (IGF1) values and no other pituitary hormone deficits, raising questions about the accuracy of somatotroph function assessment, while all nonresponders with BMI <24.9 kg/m2 had low IGF1 values and panhypopituitarism.ConclusionsOur results indicate that BMI >25 kg/m2 has a negative effect on GH response not only in normal healthy subjects but also in patients at risk for pituitary function deficit as well. Parameters such as IGF1 levels and anterior pituitary deficits should be taken into account to accurately assess GH status in these patients.

Predictors of nonroutine discharge among patients undergoing surgery for grade I spondylolisthesis: insights from the Quality Outcomes Database

2020 ◽  
Vol 32 (4) ◽  
pp. 523-532 ◽  
Author(s):  
Praveen V. Mummaneni ◽  
Mohamad Bydon ◽  
John Knightly ◽  
Mohammed Ali Alvi ◽  
Anshit Goyal ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Acute Care ◽  
Body Mass ◽  
Care Facility ◽  
Older Age ◽  
Quality Outcomes ◽  
Acute Care Facility ◽  
Factors Associated ◽  
Patient Reported ◽  
The Impact

OBJECTIVEDischarge to an inpatient rehabilitation facility or another acute-care facility not only constitutes a postoperative challenge for patients and their care team but also contributes significantly to healthcare costs. In this era of changing dynamics of healthcare payment models in which cost overruns are being increasingly shifted to surgeons and hospitals, it is important to better understand outcomes such as discharge disposition. In the current article, the authors sought to develop a predictive model for factors associated with nonroutine discharge after surgery for grade I spondylolisthesis.METHODSThe authors queried the Quality Outcomes Database for patients with grade I lumbar degenerative spondylolisthesis who underwent a surgical intervention between July 2014 and June 2016. Only those patients enrolled in a multisite study investigating the impact of fusion on clinical and patient-reported outcomes among patients with grade I spondylolisthesis were evaluated. Nonroutine discharge was defined as those who were discharged to a postacute or nonacute-care setting in the same hospital or transferred to another acute-care facility.RESULTSOf the 608 patients eligible for inclusion, 9.4% (n = 57) had a nonroutine discharge (8.7%, n = 53 discharged to inpatient postacute or nonacute care in the same hospital and 0.7%, n = 4 transferred to another acute-care facility). Compared to patients who were discharged to home, patients who had a nonroutine discharge were more likely to have diabetes (26.3%, n = 15 vs 15.7%, n = 86, p = 0.039); impaired ambulation (26.3%, n = 15 vs 10.2%, n = 56, p < 0.001); higher Oswestry Disability Index at baseline (51 [IQR 42–62.12] vs 46 [IQR 34.4–58], p = 0.014); lower EuroQol-5D scores (0.437 [IQR 0.308–0.708] vs 0.597 [IQR 0.358–0.708], p = 0.010); higher American Society of Anesthesiologists score (3 or 4: 63.2%, n = 36 vs 36.7%, n = 201, p = 0.002); and longer length of stay (4 days [IQR 3–5] vs 2 days [IQR 1–3], p < 0.001); and were more likely to suffer a complication (14%, n = 8 vs 5.6%, n = 31, p = 0.014). On multivariable logistic regression, factors found to be independently associated with higher odds of nonroutine discharge included older age (interquartile OR 9.14, 95% CI 3.79–22.1, p < 0.001), higher body mass index (interquartile OR 2.04, 95% CI 1.31–3.25, p < 0.001), presence of depression (OR 4.28, 95% CI 1.96–9.35, p < 0.001), fusion surgery compared with decompression alone (OR 1.3, 95% CI 1.1–1.6, p < 0.001), and any complication (OR 3.9, 95% CI 1.4–10.9, p < 0.001).CONCLUSIONSIn this multisite study of a defined cohort of patients undergoing surgery for grade I spondylolisthesis, factors associated with higher odds of nonroutine discharge included older age, higher body mass index, presence of depression, and occurrence of any complication.

scholarly journals Nonalcoholic fatty liver disease and the risk of atrial fibrillation stratified by body mass index: a nationwide population-based study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
So-Ryoung Lee ◽  
Kyung-Do Han ◽  
Eue-Keun Choi ◽  
Seil Oh ◽  
Gregory Y. H. Lip
Keyword(s):  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Liver Disease ◽  
Fatty Liver ◽  
Nonalcoholic Fatty Liver Disease ◽  
Body Mass ◽  
Fatty Liver Disease ◽  
Nonalcoholic Fatty Liver ◽  
Increased Risk ◽  
The Impact

AbstractWe evaluated the association between nonalcoholic fatty liver disease (NAFLD) and incident atrial fibrillation (AF) and analyzed the impact of NAFLD on AF risk in relation to body mass index (BMI). A total of 8,048,055 subjects without significant liver disease who were available fatty liver index (FLI) values were included. Subjects were categorized into 3 groups based on FLI: < 30, 30 to < 60, and ≥ 60. During a median 8-year of follow-up, 534,442 subjects were newly diagnosed as AF (8.27 per 1000 person-years). Higher FLI was associated with an increased risk of AF (hazard ratio [HR] 1.053, 95% confidence interval [CI] 1.046–1.060 in 30 ≤ FLI < 60, and HR 1.115, 95% CI 1.106–1.125 in FLI ≥ 60). In underweight subjects (BMI < 18.5 kg/m2), higher FLI raised the risk of AF (by 1.6-fold in 30 ≤ FLI < 60 and by twofold in FLI ≥ 60). In normal- and overweight subjects, higher FLI was associated with an increased risk of AF, but the HRs were attenuated. In obese subjects, higher FLI was not associated with higher risk of AF. NAFLD as assessed by FLI was independently associated with an increased risk of AF in nonobese subjects with BMI < 25 kg/m2. The impact of NAFLD on AF risk was accentuated in lean subjects with underweight.

scholarly journals Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
World Health ◽  
Obese Adults ◽  
Bmi Trajectories ◽  
The Impact

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.

scholarly journals Anthropometric Variables as Mediators of the Association of Changes in Diet and Physical Activity With Inflammatory Profile

2021 ◽  
Author(s):  
Gabriela Cárdenas-Fuentes ◽  
Camille Lassale ◽  
Miguel Ángel Martínez-González ◽  
María Grau ◽  
Jordi Salas-Salvadó ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Controlled Trial ◽  
High Sensitivity ◽  
Linear Regression Models ◽  
Mediating Role ◽  
Inflammatory Score ◽  
Inflammatory Profile

Abstract Background Mechanisms underlying the associations of high levels of physical activity (PA) and adherence to the Mediterranean diet (MedDiet) with a better inflammatory profile remain unclear. Our objective was to assess the mediating role of changes in body mass index (BMI) and waist circumference (WC), as markers of body fat in the association of changes in PA and adherence to the MedDiet, with changes in the inflammatory profile. Method This study included 489 adults, aged 55–75 years, from the PREDIMED-Plus multicenter lifestyle intervention trial. An inflammatory score was calculated, based on 8 blood biomarkers: high-sensitivity C-reactive protein, interleukin 6, interleukin 8, interleukin 18, monocyte chemo-attractant protein-1, C-peptide, leptin, and regulated on activation, normal T-cell–expressed and secreted chemokine. Biomarkers, levels of PA, score of MedDiet adherence, BMI, and WC were measured at baseline and at 1-year follow-up. Linear regression models were fitted according to the Baron and Kenny framework for mediation analysis. Results Changes in BMI and WC mediated the association of both changes in PA and changes in the MedDiet adherence with the inflammatory score. Body mass index mediated 26% of the association of changes in total PA with the inflammatory profile, and 27% of the association of changes in the MedDiet, while WC mediated 13% and 12% of these associations, respectively. Conclusion In older adults at high cardiovascular risk, increasing PA levels and adherence to a MedDiet during 1 year were associated with a lower inflammatory score, which was partly mediated by a reduction in body fat. Clinical Trials Registration Number International Standard Randomized Controlled Trial Number: ISRCTN89898870; registration date July 24, 2014, retrospectively registered.

scholarly journals Higher body mass index is associated with larger postoperative improvement in patient-reported outcomes following total knee arthroplasty

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
K Giesinger ◽  
JM Giesinger ◽  
DF Hamilton ◽  
J Rechsteiner ◽  
A Ladurner
Keyword(s):  
Body Mass Index ◽  
Total Knee Arthroplasty ◽  
Pain Relief ◽  
Body Mass ◽  
Knee Arthroplasty ◽  
Normal Weight ◽  
World Health ◽  
Obese Patients ◽  
Total Knee ◽  
The Impact

Abstract Background Total knee arthroplasty is known to successfully alleviate pain and improve function in endstage knee osteoarthritis. However, there is some controversy with regard to the influence of obesity on clinical benefits after TKA. The aim of this study was to investigate the impact of body mass index (BMI) on improvement in pain, function and general health status following total knee arthroplasty (TKA). Methods A single-centre retrospective analysis of primary TKAs performed between 2006 and 2016 was performed. Data were collected preoperatively and 12-month postoperatively using WOMAC score and EQ-5D. Longitudinal score change was compared across the BMI categories identified by the World Health Organization. Results Data from 1565 patients [mean age 69.1, 62.2% women] were accessed. Weight distribution was: 21.2% BMI < 25.0 kg/m2, 36.9% BMI 25.0–29.9 kg/m2, 27.0% BMI 30.0–34.9 kg/m2, 10.2% BMI 35.0–39.9 kg/m2, and 4.6% BMI ≥ 40.0 kg/m2. All outcome measures improved between preoperative and 12-month follow-up (p < 0.001). In pairwise comparisons against normal weight patients, patients with class I-II obesity showed larger improvement on the WOMAC function and total score. For WOMAC pain improvements were larger for all three obesity classes. Conclusions Post-operative improvement in joint-specific outcomes was larger in obese patients compared to normal weight patients. These findings suggest that obese patients may have the greatest benefits from TKA with regard to function and pain relief one year post-op. Well balanced treatment decisions should fully account for both: Higher benefits in terms of pain relief and function as well as increased potential risks and complications. Trial registration This trial has been registered with the ethics committee of Eastern Switzerland (EKOS; Project-ID: EKOS 2020–00,879)

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

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