Maternal Hypertriglyceridemia in Gestational Diabetes: A New Risk Factor?

Elevated maternal triglycerides (TGs) have been associated with excessive fetal growth. However, the role of maternal lipid profile is less studied in gestational diabetes mellitus (GDM). We aimed to study the association between maternal lipid profile in the third trimester and the risk for large-for-gestational-age (LGA) newborns in women with GDM. We performed an observational and retrospective study of pregnant women with GDM who underwent a lipid profile measurement during the third trimester. We applied a logistic regression model to assess predictors of LGA. A total of 100 singleton pregnant women with GDM and third-trimester lipid profile evaluation were included. In the multivariate analysis, pre-pregnancy BMI (OR 1.19 (95% CI 1.03-1.38), p = 0.022) and hypertriglyceridemia (OR 7.60 (1.70-34.10), p = 0.008) were independently associated with LGA. Third-trimester hypertriglyceridemia was found to be a predictor of LGA among women with GDM, independently of glycemic control, BMI, and pregnancy weight gain. Further investigation is needed to confirm the role of TGs in excessive fetal growth in GDM pregnancies.

Inappropriate gestational weight gain impact on maternofetal outcomes in gestational diabetes.

OBJECTIVE: To evaluate the association between the dimension of deviation from appropriate gestational weight gain (GWG) and adverse maternofetal outcomes in women with gestational diabetes mellitus (GDM). METHODS: We performed a multicentric retrospective study based on the Portuguese GDM Database. Women were classified as within GWG, insufficient (IGWG) or excessive (EGWG) than the Institute of Medicine recommendations. EGWG and IGWG were calculated for each prepregnancy BMI category. Large-for-gestational-age (LGA) and macrosomia were defined as a birthweight more than the 90th percentile for the gestational age and newborn weight greater than 4000 g, respectively. Logistic regression models (adjusted odds ratio [aOR] plus 95% confidence interval [95%CI]) were derived to evaluate the association between EGWG or IGWG and adverse maternofetal outcomes. RESULTS: A total of 18961 pregnant women were included: 39.7% with IGWG and 27.8% with EGWG. An EGWG over 3 kg was associated with a higher risk of LGA infants (aOR 1.95, 95%CI 1.17-3.26) and macrosomia (aOR 2.01, 95%CI 1.23-3.27) in prepregnancy normal weight women. An EGWG greater than 4 kg was associated with a higher risk of LGA infants (aOR 1.67, 95%CI 1.23-2.23) and macrosomia (aOR 1.90, 95%CI 1.38-2.61) in obese women. In overweight women, an EGWG above 3.5 kg was associated with a higher risk of LGA infants (aOR 1.65, 95%CI 1.16-2.34), macrosomia (aOR 1.85, 95%CI 1.30-2.64), preeclampsia (aOR 2.40, 95%CI 1.45-3.98) and pregnancy-induced hypertension (aOR 2.21, 95%CI 1.52-3.21). An IGWG below -3.1 kg or -3kg was associated with a higher risk of small-for-gestational-age [SGA] infants in women with normal (OR 1.40, 95%CI 1.03-1.90) and underweight (OR 2.29, 95%CI 1.09-4.80), respectively. CONCLUSIONS: Inappropriate gestational weight gain seems to be associated with an increased risk for adverse maternofetal outcomes, regardless of prepregnancy BMI. Beyond glycemic control, weight management in women with GDM must be a focus of special attention to prevent adverse pregnancy outcomes.KEY MESSAGESThe dimension of deviation from appropriate gestational weight gain was associated with an increased risk for adverse maternofetal outcomes among women with gestational diabetes.Weight management must be a focus of special attention in women with gestational diabetes to prevent adverse pregnancy outcomes.

Predictors of metformin monotherapy failure in gestational diabetes mellitus.

Objective: Metformin has emerged as a safe and effective pharmacological alternative to insulin in gestational diabetes mellitus (GDM), being associated with lower maternal weight gain and hypoglycemia risk. Nevertheless, glycemic control is unaccomplished in a considerable proportion of women only treated with metformin. We aim to determine the metformin monotherapy failure rate in GDM and to identify predictors of its occurrence. Design and methods: This was a retrospective multicenter study including pregnant women with GDM patients who started metformin as a first-line pharmacological treatment (n = 2891). A comparative analysis of clinical and analytical data between the group of women treated with metformin monotherapy and those needing combined therapy with insulin was performed. Results: In 685 (23.7%) women with GDM, combined therapy to achieve adequate glycemic control was required. Higher pregestational BMI (OR 1.039; CI 95% 1.008-1.071; P-value = 0.013), higher fasting plasma glucose (PG) levels in oral glucose tolerance test (OGTT) (OR 1.047; CI 95% 1.028-1.066; P-value <0.001) and an earlier gestational age (GA) at metformin introduction (0.839; CI 95% 0.796-0.885, P-value < 0.001) were independent predictive factors for metformin monotherapy failure. The best predictive cutoff values were a fasting PG in OGTT ≥87 mg/dL and GA at metformin introduction ≤29 weeks. Conclusions: In 685 (23.7%) women, combined therapy with insulin to reach glycemic control was required. Higher pre-gestational BMI, fasting PG levels in OGTT ≥87 mg/dL and introduction of metformin ≤29 weeks of GA were independent predictive factors for metformin monotherapy failure. The early recognition of these characteristics can contribute to the establishment of individualized therapeutic strategies and attain better metabolic control during pregnancy.

Gestational diabetes in twin pregnancy: A predictor of adverse fetomaternal outcomes?

AIM: To compare fetomaternal outcomes between GDM pregnant women with twin versus singleton pregnancies and then between women with GDM versus non-GDM twin pregnancies. METHODS: We performed a retrospective study including GDM pregnant women with both twin and singleton pregnancies followed in our tertiary center between 2011 and 2018. The fetomaternal characteristics of each group were compared. We then compared women with GDM twin pregnancy followed at our institution between 2011 and 2018 to non-GDM twin pregnant women giving childbirth in 2018. RESULTS: A total of 1127 GDM pregnant women were evaluated: 42 with twin pregnancy and 1085 with singleton pregnancy. Preeclampsia (14.3% vs. 3.3%, p < 0.001) and cesarean delivery (76.2% vs. 36.9%, p < 0.001) were more frequent among women with twin pregnancy. Neonatal morbidity was also more common among neonates delivered from twin pregnant women, including preterm labor (73.8% vs. 7.8%, p < 0.001), hypoglycemia (6% vs. 4.8%, p = 0.043), hyperbilirubinemia (33.3% vs. 9.0%, p < 0.001), RDS (28.6% vs. 2.7%, p < 0.001), admission in NICU (32.1% vs. 4.5%, p < 0.001) and SGA (19.0% vs. 11.0%, p = 0.001). Overall there were no significant differences in fetomaternal morbidity parameters between GDM (n = 42) versus non-GDM (n = 83) twin pregnancies, although SGA infants were more frequent in the latter group (33.9% vs. 19.0%, p = 0.014). CONCLUSIONS: In GDM pregnant women, twin pregnancy seems to be associated with an increased prevalence of neonatal morbidity when compared to singleton pregnancy. On the other hand, in twin pregnancy, diagnosis of GDM does not seem to be associated with poorer fetomaternal outcomes. GDM seems to be protective for the occurrence of SGA neonates in twin pregnancies.

Third trimester HbA1c and the association with large-for-gestational-age neonates in women with gestational diabetes

ABSTRACT Objective: To evaluate the association between HbA1c levels measured in the third trimester and the risk for large for gestational age (LGA) in neonates of mothers affected by gestational diabetes mellitus (GDM). Secondarily, we aimed to identify an ideal cut-off for increased risk of LGA amongst pregnant women with GDM. Materials and methods: Observational retrospective review of singleton pregnant women with GDM evaluated in a diabetes and pregnancy clinic of a tertiary and academic hospital. From January/2011 to December/2017, 1,085 pregnant women underwent evaluation due to GDM, of which 665 had an HbA1c test in the third trimester. A logistic regression model was performed to evaluate predictors of LGA. A receiver-operating-characteristic (ROC) curve was used to evaluate the predictive ability of third trimester HbA1c for LGA identification. Results: A total of 1,085 singleton pregnant women were evaluated during the study period, with a mean age of 32.9 ± 5.3 years. In the multivariate analysis, OGTT at 0 minutes (OR: 1.040; CI 95% 1.006-1.076, p = 0.022) and third trimester HbA1c (OR: 4.680; CI 95% 1.210-18.107, p = 0.025) were associated with LGA newborns. Using a ROC curve to evaluate the predictive ability of third trimester HbA1c for LGA identification, the optimal HbA1c cut-off point was 5.4% where the sensitivity was 77.4% and the specificity was 71.7% (AUC 0.782; p < 0.001). Conclusions: Few studies in the Mediterranean population have evaluated the role of HbA1c in predicting neonatal complications in women with GDM. A third trimester HbA1c > 5.4% was found to have good sensitivity and specificity for identifying the risk of LGA.

Third trimester HbA1c and the association with large-for-gestational-age neonates in women with gestational diabetes.

OBJECTIVE: To evaluate the association between HbA1c levels measured in the third trimester and the risk for large for gestational age (LGA) in neonates of mothers affected by gestational diabetes mellitus (GDM). Secondarily, we aimed to identify an ideal cut-off for increased risk of LGA amongst pregnant women with GDM. METHODS: Observational retrospective review of singleton pregnant women with GDM evaluated in a diabetes and pregnancy clinic of a tertiary and academic hospital. From January/2011 to December/2017, 1,085 pregnant women underwent evaluation due to GDM, of which 665 had an HbA1c test in the third trimester. A logistic regression model was performed to evaluate predictors of LGA. A receiver-operating-characteristic (ROC) curve was used to evaluate the predictive ability of third trimester HbA1c for LGA identification. RESULTS: A total of 1,085 singleton pregnant women were evaluated during the study period, with a mean age of 32.9 ± 5.3 years. In the multivariate analysis, OGTT at 0 minutes (OR: 1.040; CI 95% 1.006-1.076, p = 0.022) and third trimester HbA1c (OR: 4.680; CI 95% 1.210-18.107, p = 0.025) were associated with LGA newborns. Using a ROC curve to evaluate the predictive ability of third trimester HbA1c for LGA identification, the optimal HbA1c cut-off point was 5.4% where the sensitivity was 77.4% and the specificity was 71.7% (AUC 0.782; p < 0.001). CONCLUSION: Few studies in the Mediterranean population have evaluated the role of HbA1c in predicting neonatal complications in women with GDM. A third trimester HbA1c > 5.4% was found to have good sensitivity and specificity for identifying the risk of LGA.

Comparison of Jamar and Bodygrip Dynamometers for Handgrip Strength Measurement.

Guerra, RS, Amaral, TF, Sousa, AS, Fonseca, I, Pichel, F, and Restivo, MT. Comparison of Jamar and Bodygrip dynamometers for handgrip strength measurement. J Strength Cond Res 31(7): 1931-1940, 2017-Studies that compared the agreement between Jamar and other models of dynamometers for handgrip strength (HGS) measurement have exhibited variability in the provided results. The lack of comparability between dynamometers led to the development of the Bodygrip dynamometer. This study aims to examine the reliability of the Bodygrip for HGS measurement, to compare it with the Jamar, and to explore the HGS differences between instruments considering the ergonomic effect of using the Bodygrip with 2 different handles. A cross-sectional study was conducted in free-living (n = 114, 18-89 years) and inpatient (n = 50, 65-93 years) volunteers. Nondominant HGS was tested randomly with the Jamar and Bodygrip, the latter using 2 different handles-curved and straight types. Handgrip strength was obtained for each participant under the same conditions. Each individual performed 2 HGS measurements with each dynamometer, and the maximum HGS value was considered for dynamometers comparison. Differences in the maximum HGS value between the 2 devices (Jamar-Bodygrip), intraclass correlation coefficients (ICCs), Bland and Altman plots, and limits of agreement were obtained. Correlation between the highest HGS measurement obtained for the nondominant hand with the Jamar and with the Bodygrip using each handle was excellent (ICCs: 0.93-0.95). Mean differences of -0.5 (limits of agreement: -4.6; 3.5) kgf with the curved handle and of 1.0 (-7.7; 9.7) kgf with the straight handle for the free-living participants were obtained, whereas for inpatients these values were -1.0 (-3.8; 1.9) kgf and 2.1 (-3.3; 7.5) kgf, respectively, for the curved and straight handles. The Bodygrip is comparable to the Jamar in free-living adults and in hospitalized older adults, exhibiting excellent interinstrument reliability. The Bodygrip with the curved handle produces results closer to the Jamar when compared with Bodygrip with the straight handle, which emphasizes the importance of grip handle ergonomics to measurement reliability.

Triceps skinfold compressibility in hospitalized patients

OBJECTIVE: To explore triceps skinfold (TSF) compressibility and its associated factors among hospitalized patients. METHODS: A cross-sectional study was conducted among hospitalized adult patients. Evolution of tissue compressibility during two seconds was registered and 120 TSF values were obtained using a digital calliper. Compressibility was determined according to the difference between the initial value and the final value (TSF difference) and according to time (τ). Multivariable linear regression models were performed in order to identify factors associated with TSF compressibility. RESULTS: One hundred and six patients (30.2% aged ≥ 65 years) composed the study sample. Compressibility based on TSF difference was independently associated with TSF thickness (regression coefficient, 95% confidence interval [CI] = 0.38, 0.01-0.05, p = 0.002) and nutritional risk (regression coefficient, 95% CI = 0.23, 0.12-1.23, p = 0.018), but time of compressibility (τ) was not significantly associated with any of the studied variables. CONCLUSIONS: Among a sample of hospitalized patients, undernutrition risk and higher TSF thickness were factors independently associated with higher compressibility assessed by the difference between the initial and final TSF value. Time of compressibility (τ) was not affected by any of the studied factors.

Triceps skinfold compressibility in hospitalized patients / Compresibilidad del pliegue cutáneo del tríceps entre los pacientes hospitalizados

Objective: To explore triceps skinfold (TSF) compressibility and its associated factors among hospitalized patients. Methods: A cross-sectional study was conducted among hospitalized adult patients. Evolution of tissue compressibility during two seconds was registered and 120 TSF values were obtained using a digital calliper. Compressibility was determined according to the difference between the initial value and the final value (TSF difference) and according to time (τ). Multivariable linear regression models were performed in order to identify factors associated with TSF compressibility. Results: One hundred and six patients (30.2% aged ≥ 65 years) composed the study sample. Compressibility based on TSF difference was independently associated with TSF thickness (regression coefficient, 95% confidence interval [CI] = 0.38, 0.01-0.05, p = 0.002) and nutritional risk (regression coefficient, 95% CI = 0.23, 0.12-1.23, p = 0.018), but time of compressibility (τ) was not significantly associated with any of the studied variables. Conclusions: Among a sample of hospitalized patients, undernutrition risk and higher TSF thickness were factors independently associated with higher compressibility assessed by the difference between the initial and final TSF value. Time of compressibility (τ) was not affected by any of the studied factors (AU)

Objetivo: explorar la compresibilidad del pliegue cutáneo del tríceps (PCT) y sus factores asociados entre los pacientes hospitalizados. Métodos: se realizó un estudio transversal en pacientes adultos hospitalizados. Se registró la evolución de la compresibilidad del tejido durante dos segundos y se obtuvieron 120 valores del PCT utilizando un calibrador digital. La compresibilidad se determinó según la diferencia entre el valor inicial y el valor final (diferencia PCT) y según el tiempo (τ). Se realizaron modelos de regresión lineal múltiple con el fin de identificar los factores asociados con la compresibilidad del PCT. Resultados: ciento seis pacientes (30,2% ≥ 65 años) compusieron la muestra del estudio. La compresibilidad basada en la diferencia de PCT se asoció independientemente con el espesor del PCT (coeficiente de regresión, intervalo de confianza 95% [IC] = 0,38, 0,01-0,05, p = 0,002) y el riesgo nutricional (coeficiente de regresión, IC del 95% = 0,23, 0,12-1,23, p = 0,018), pero el tiempo de compresibilidad (τ) no se asoció significativamente con ninguna de las variables estudiadas. Conclusiones: entre una muestra de pacientes hospitalizados, el riesgo de desnutrición y el mayor espesor del PCT fueron factores asociados independientemente con una mayor compresibilidad evaluada por la diferencia entre el valor inicial y final del PCT. El tiempo de compresibilidad (τ) no se vio afectado por ninguno de los factores estudiados (AU)

ESPEN diagnostic criteria for malnutrition - A validation study in hospitalized patients.

BACKGROUND & AIMS: The European Society for Clinical Nutrition and Metabolism (ESPEN) released a consensus statement for undernutrition diagnosis: ESPEN diagnostic criteria for malnutrition (EDC). The EDC lacks validation and therefore, the present study aims to assess the concurrent and predictive validity of this tool in a cohort of inpatients. METHODS: A prospective observational study took place in a university hospital. Concurrent validity of EDC was evaluated using the Patient Generated Subjective Global Assessment (PG-SGA) nutrition status classification as the reference method. Sensitivity, specificity, positive and negative predictive values were determined. The EDC predictive validity was assessed by its independent association with length of hospital stay (LOS), applying Cox proportional hazards ratio method. RESULTS: Of the 632 included patients, 455 participants (72%) were nutritionally-at-risk (Nutritional Risk Screening initial screening). For those that had screened positive, 260 (57.1%) and 55 participants (12.1%) were undernourished according to PG-SGA and to EDC, respectively. Compared to PG-SGA, the EDC revealed a sensitivity of 17.1% and a specificity of 98.3%. Positive and negative predictive values were respectively 89.1% and 58.9%. Undernutrition evaluated by EDC was independently associated with lower hazard ratio for being discharged home over time, 0.695 (95% confidence interval: 0.509; 0.950). CONCLUSIONS: The EDC could be used in clinical settings to confirm undernutrition suggested by other methods. The independent association of undernutrition by EDC with LOS shows this method is of clinical relevance.

Effects of Posture and Body Mass Index on Body Girth Assessment.

BACKGROUND: The present study aimed to evaluate the effect of posture on body girth assessment among hospitalized adults and older adults. We further explored the influence of body mass index (BMI) on this effect. MATERIALS AND METHODS: A cross-sectional study was conducted among hospitalized adult patients. Arm, waist, hip, and calf girths were obtained for each patient in standing and supine positions. Body girths were obtained in the 2 body positions, and differences were compared according to BMI normal-weight and overweight categories. RESULTS: In total, 123 patients (27.6% aged ≥65 years) composed the study sample. Significant differences were found between measurements obtained in standing and supine positions, ranging from 0.6-1.1 cm. Intraclass correlation coefficient (ICC) values were ≥0.97, and agreement ranged from 81.3%-87% (weighted κ ≥ 0.84). Similar results were found when differences were stratified by BMI categories. CONCLUSION: Although body girth assessment in standing and supine positions in hospitalized adults and older adults differs, these differences are small and are not dependent on BMI categories.

Sarcopenia among hospitalized patients - A cross-sectional study.

BACKGROUND & AIMS: Data on the prevalence of sarcopenia among hospitalized older patients are scarce and there is no available information on the burden of sarcopenia among younger patients. The present study aims to increase the knowledge about the frequency of sarcopenia among hospitalized patients and to evaluate the influence of different diagnostic criteria in these estimates. METHODS: A cross-sectional study was conducted in hospitalized adult patients. Sarcopenia was defined, according to the European Working Group on Sarcopenia in Older People (EWGSOP), as the presence of both low muscle mass, assessed by Bioelectrical Impedance Analysis (BIA), adjusted for height, and low muscle function (hand grip strength). Two other criteria were applied, also using hand grip strength for evaluating muscle function, one that also assessed muscle mass by BIA, but adjusted for weight, and another which estimated muscle mass based on mid-arm muscle circumference. Nutritional status was evaluated by Patient-Generated Subjective Global Assessment. The degree of agreement between the different diagnostic criteria was assessed using kappa. Multivariable logistic regression models were used in order to identify factors associated with sarcopenia. RESULTS: 608 hospitalized adult patients aged ≥18 years composed the study sample. According to EWGSOP's criteria, 25.3% patients were sarcopenic. However, depending on age and on the applied criteria, frequency of sarcopenia varied from 5% to 41.1% for men and from 4.9% to 38.3% for women. There was 95.7% (k = 0.89) agreement between criteria that estimated muscle mass by BIA. According to EWGSOP criteria approximately 20% of the non-undernourished patients were sarcopenic. Furthermore, 29.5% of overweight and 18.7% of obese patients were sarcopenic. Factors associated with sarcopenia were male gender, age ≥65 years, moderate or severe dependence, being undernourished and admitted to a medical ward. CONCLUSIONS: Sarcopenia is frequent among hospitalized patients and varies widely depending on the applied diagnostic criteria. Sarcopenia was identified in a considerable proportion of patients aged under ≥65 years and in non-undernourished, namely among overweight and obese.

Usefulness of six diagnostic and screening measures for undernutrition in predicting length of hospital stay: a comparative analysis.

BACKGROUND: Undernutrition has been associated with longer length of hospital stay (LOS). However, an analysis that investigates the association of recommended undernutrition diagnostic and screening indicators with LOS conducted in patients with a varied spectrum of pathologies and considering confounders would help to clarify their clinical value. OBJECTIVE: We aimed to quantify the association of being undernourished as evaluated by different methodologies with LOS and their validity in predicting inpatient LOS. DESIGN: A prospective observational study was conducted. Undernutrition was evaluated by the Academy of Nutrition and Dietetics-American Society for Parental and Enteral Nutrition recommended clinical characteristics of malnutrition (AA-CCM) tool, the Patient-Generated Subjective Global Assessment (PG-SGA), the Nutritional Risk Screening (NRS-2002) tool, and the Malnutrition Universal Screening tool (MUST). Handgrip strength (HGS) quartiles by sex and phase angle (PA) categories were also used as indicators of undernutrition. PARTICIPANTS AND SETTING: Six hundred eighty-two inpatients from a Portuguese university hospital participated between 2011 and 2013. MAIN OUTCOME MEASURES: LOS was determined between the date of hospital admission and discharge. STATISTICAL ANALYSES PERFORMED: Kaplan-Meier and adjusted Cox proportional hazard ratio (HR) methods were applied. RESULTS: Moderate or severe undernutrition by AA-CCM (HR 0.58, 95% CI 0.49 to 0.69), by PG-SGA (moderate or suspected: HR 0.60, 95% CI 0.49 to 0.73 and severe: HR 0.52, 95% CI 0.42 to 0.64), risk of undernutrition assessed by NRS-2002 (HR 0.61, 95% CI 0.52 to 0.73), by MUST (medium: HR 0.75, 95% CI 0.60 to 0.95 and high: HR 0.67, 95% CI 0.55 to 0.81), HGS quartile (second: HR 0.64, 95% CI 0.50 to 0.80 and first [lowest]: HR 0.50, 95% CI 0.39 to 0.64) and nutritional risk defined by low PA (HR 0.62, 95% CI 0.48 to 0.81) were all independently associated with lower probability of being discharged from the hospital. CONCLUSIONS: Despite assessing different dimensions of nutritional status, undernutrition by AA-CCM and PG-SGA, risk of undernutrition assessed by NRS-2002 and MUST, and low HGS and PA independently predict longer LOS in hospitalized patients. All these methodologies share a similar validity in predicting LOS.

Handgrip strength and associated factors in hospitalized patients.

BACKGROUND: Handgrip strength (HGS) is a marker of nutrition status. Many factors are associated with HGS. Age, height, body mass index, number of diagnoses, and number and type of drugs have been shown to modify the association between undernutrition and HGS. Nevertheless, other patient characteristics that could modify this association and its joint modifier effect have not been studied yet. OBJECTIVE: To evaluate the association of inpatients' HGS and undernutrition considering the potential modifier effect of cognitive status, functional activity, disease severity, anthropometrics, and other patient characteristics on HGS. METHODS: A cross-sectional study was conducted in a university hospital. Sex, age, abbreviated mental test score, functional activity score, Charlson index, number of drugs, Patient-Generated Subjective Global Assessment (PG-SGA) score, body weight, mid-arm muscle circumference, adductor pollicis muscle thickness, body height, wrist circumference, hand length, and palm width were included in a linear regression model to identify independent factors associated with HGS (dependent variable). RESULTS: The study sample was composed of 688 inpatients (18-91 years old). All variables included in the model were associated with HGS (ß, -0.16 to 0.38; P ≤ .049) and explained 68.5% of HGS. Age, functional activity decline, Charlson index, number of drugs, PG-SGA score, body weight, and wrist circumference had a negative association with HGS. All other studied variables were positively associated with HGS. CONCLUSION: Nutrition status evaluated by PG-SGA was still associated with HGS after considering the joint effect of other patient characteristics, which reinforces the value of HGS as an indicator of undernutrition.