95th Percentile Research Articles

Muscle Mass, Muscle Strength, and Health-Related Quality of Life in Kidney Transplant Recipients: Results of the TransplantLines Biobank and Cohort Study

IntroductionMuscles are crucial for daily activities, and kidney transplant recipients (KTR) often have reduced muscle mass and strength. We aimed to investigate the potential relationship of muscle mass and strength with physical health-related quality of life (HRQoL) in KTR. MethodsData from the TransplantLines Biobank and Cohort Studies were used. Muscle mass was assessed with appendicular skeletal muscle mass index (ASMI) and 24-hour urinary creatinine excretion rate index (CERI). Muscles strength was assessed by handgrip strength index (HGSI). HRQoL was measured using Short Form 36 physical component score (PCS). ResultsWe included 751 KTR (61% male, mean age 56±13y, median 3y post-transplant). Ordinary least squares regression analyses demonstrated that lower ASMI, CERI and HGSI were all non-linearly associated with lower PCS, independent of potential confounders and each other. Below median values, ASMI, CERI and HGSI were each associated with PCS, whereas above median values, associations were less pronounced. Compared to the 50th percentile, a decrease to the 10th percentile was associated with a decrease in PCS of 4.8% for ASMI (P=0.011), of 5.1% for CERI (P=0.008) and 13.2% for HGSI (P<0.001), whereas an increase to the 90th percentile was associated with an increase in PCS of only 0.7% for ASMI (P=0.54), of 3.6% for CERI (P=0.05) and -0.4% for HGSI (P=0.73). ConclusionsLow muscle mass and strength are potentially modifiable risk factors for impaired physical HRQoL in KTR. The non-linear associations suggest that KTR with low muscle mass or strength may particularly benefit from (p)rehabilitation interventions to improve HRQoL.

The risk of hospitalization associated with hot nights and excess nighttime heat in a subtropical metropolis: a time-series study in Hong Kong, 2000–2019

Recent studies showed increased mortality risks after hot nights, but their effect on hospitalizations, especially in vulnerable populations, remains under-studied. Daily hospitalization, meteorological (including hourly), and air pollution data were collected for the hot seasons (May-October) of 2000-19 in Hong Kong. We derived three hot-night metrics: HNday28 °C, daily minimum temperature ≥28°C, the governmental definition of hot nights; HNe, hot night excess calculated by summing heat excess of hourly temperatures above 28°C at night; and HNday90th, hot nights classified using the 90th percentile HNe (17.7°C⋅h) as a cutoff. We fitted time-series regression with distributed lag nonlinear models to examine the associations of hot-night metrics with various hospitalizations. During the 3680 study days, 5,002,114 non-cancer non-external (NCNE) hospitalizations were recorded. Half (1874) of the days experienced excess nighttime heat (HNe>0) with a mean (SD) of 8.0 (6.8) °C⋅h; 499 and 187 hot nights were identified by HNday28 °C and HNday90th, respectively. Extreme HNe (99th percentile vs 0°C⋅h) was significantly associated with increased NCNE hospitalizations over lag 0-4 days by 3.1% [95% confidence interval: 1.5%, 4.8%] overall, with enhanced effects in elderly (5.3% [3.2%, 7.4%]), low-SES individuals (5.3% [2.8%, 8.0%]), and circulatory admissions (3.4% [0.2%, 6.8%]). HNday90th, reflecting extreme HNe, better identified hazardous hot nights than the official HNday28 °C. Excessive nighttime heat is significantly associated with increased hospitalizations, particularly affecting the elderly and socioeconomically disadvantaged individuals. Nighttime heat intensity should be incorporated in defining hot nights with public health relevance. British Heart Foundation.

Coagulation profiles and percentiles in neonates with hypoxic-ischemic encephalopathy undergoing therapeutic hypothermia: A step toward more accurate transfusion thresholds.

In the literature, there are no studies about the transfusion threshold for neonates with hypoxic-ischemic encephalopathy (HIE) undergoing therapeutic hypothermia (TH). In order to facilitate accurate interpretation of coagulation results in these neonates, we aimed to generate specific reference intervals in this specific population. This retrospective study included all HIE neonates admitted from 2014 to 2022 to undergo TH. All infants during TH underwent blood exams, including the coagulation profile. Our primary outcome was to assess the estimates of the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles for each parameter on admission (before transfusion). By the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) and the best cut-off point were used to evaluate the ability of the prothrombin time expressed as international normalized ratio (PT-INR) to predict the risk of any bleeding. A total of 143 infants were included in this study. On admission, the median fibrinogen value was 205mg/dL, prothrombin time 18.6seconds, PT-INR 1.50, activated partial thromboplastin time 38.3seconds, thrombin time 18.6seconds, antithrombin 57.0%. The optimal cut-off of PT-INR in predicting the risk of any bleeding was greater than 1.84 (AUC.623, p=.024). For the first time, we proposed the percentiles of coagulation parameters in our cohort of neonates with HIE. Furthermore, we found that a PT-INR greater than 1.84 can significantly predict the risk of any bleeding. Further studies are needed to determine if a restrictive versus a liberal transfusion approach can be equally safer for these high-risk infants.

Associations between multi-metal joint exposure and decreased estimated glomerular filtration rate (eGFR) in solar greenhouse workers: A study of a unique farmer group

BackgroundSolar greenhouse workers, a unique farmer group, have been reported to have a higher risk of chronic kidney disease (CKD) compared to the general population, possible due to exposure to multiple metals. ObjectiveThis study aimed to investigate the associations between exposure to multiple metals and the estimated glomerular filtration rate (eGFR). MethodsA cross-sectional study was conducted in the Northwest China. Urine samples were tested for concentration of 14 metals, including chromium, manganese, iron et al. Blood creatinine was measured to calculate eGFR, which was to evaluate the kidney function. Linear model and the Bayesian Kernel Machine Regression (BKMR) models were used to evaluate the associations between metals exposure and eGFR. ResultThe study included 281 solar greenhouse workers, with 128 (45.6%) males and 153 (54.4%) females. The highest median concentrations of metals were zinc (418.55 μg/L), strontium (368.77 μg/L), and iron (55.73 μg/L), respectively. The linear model analysis showed that urinary levels of copper and zinc were negatively associated with eGFR [β = −0.021, 95% CI (−0.048, −0.007); β = −0.018, 95% CI (−0.068, −0.005)] considering a false discovery rate. BKMR results indicated a significant overall negative effect of 14 metals exposure on the eGFR when all metal levels were above the 50th percentile compared to the median value. ConclusionsThe decrease in eGFR among solar greenhouse workers was related to mixed metal exposure. Reducing exposure to the metals of copper, zinc, and lead could effectively protects kidney function. Further prospective studies are needed to resolve concerns about reverse causality.

Influence of the surrounding environment on the response of seated midsize male volunteers subjected to lateral sled accelerations

Predicting vehicle occupants’ posture during evasive manoeuvres is crucial for assessing their safety in the event of a collision. Volunteer experiments have been performed in the past under lateral accelerations, both within a vehicle cabin and on a seat mounted on a sled. However, discrepancies in the volunteer responses between both setups have been identified. This study hypothesizes that the response of the volunteers differs as a consequence of the proximity to the frame in the vehicle cabin, in comparison to the absence of such a structure on the sled.The present study conducted a novel sled experiment, on which five volunteers with anthropometry comparable to the 50th percentile male were subjected to 0.3 g lateral accelerations, with three different surrounding environments. In twelve pulses, an additional lateral structure was placed to the right or left side of the seated volunteers. The volunteers were asked to either brace or relax their muscles.The results show significant differences between the configurations with and without the structure placed on the right side. This effect was observed for both the lateral excursion of the upper body and the corresponding rotation when the volunteers were relaxed (p < 0.01). The average maximum lateral head rotation decreased from 27° to 14° with the structure on the right. No significant difference in head rotation was found for the braced muscle configuration.This study supports the hypothesis that the proximity to a surrounding environment influences human responses during dynamic loading. Nevertheless, there was no significant difference in maximum muscle activation between the configurations, but a faster reaction of the sternocleidomastoid muscle with the presence of the structure.

Hemoglobin A1c Genetics and Disparities in Risk of Diabetic Retinopathy in Individuals of Genetically Inferred African American/African British and European Ancestries.

Individuals with diabetes who carry genetic variants that lower hemoglobin A1c (HbA1c) independently of glycemia may have higher real, but undetected, hyperglycemia compared with those without these variants despite achieving similar HbA1c targets, potentially placing them at greater risk for diabetes-related complications. We sought to determine whether these genetic variants, aggregated in a polygenic score, and the large-effect African ancestry-specific missense variant in G6PD (rs1050828) that lower HbA1c were associated with higher retinopathy risk. Using data from 29,828 type 2 diabetes cases of genetically inferred African American/African British and European ancestries, we calculated ancestry-specific nonglycemic HbA1c polygenic scores (ngA1cPS) composed of 122 variants associated with HbA1c at genome-wide significance, but not with glucose. We tested the association of the ngA1cPS and the G6PD variant with retinopathy, adjusting for measured HbA1c and retinopathy risk factors. Participants in the bottom quintile of the ngA1cPS showed between 20% and 50% higher retinopathy prevalence, compared with those above this quintile, despite similar levels of measured HbA1c. The adjusted meta-analytic odds ratio for the bottom quintile was 1.31 (95% CI 1.0, 1.73; P = 0.05) in African ancestry and 1.31 (95% CI 1.15, 1.50; P = 6.5 × 10-5) in European ancestry. Among individuals of African ancestry with HbA1c below 7%, retinopathy prevalence was higher in individuals below, compared with above, the 50th percentile of the ngA1cPS regardless of sex or G6PD carrier status. Genetic effects need to be considered to personalize HbA1c targets and improve outcomes of people with diabetes from diverse ancestries.

Migraine and work - beyond absenteeism: Migraine severity and occupational burnout - A cohort study.

Migraine, a condition affecting 12% of the population, is a prevalent cause of disability, significantly impacts individuals during their most productive working years. Several studies have established that a migraine patient's job performance is often limited by absenteeism and presenteeism. The present study aimed to investigate the impact of migraines on occupational burnout, which affects up to 40% of workers. A subset of participants from the Negev Migraine Cohort, including both migraine patients and non-migraine controls, were asked to complete the study questionnaire. The main exposures of interest were migraine diagnosis and severity. The primary outcome was occupational burnout. Migraine severity and associated disability were evaluated using the Migraine Disability Assessment (MIDAS) score, psychiatric comorbidities using the Depression, Anxiety and Stress Scale - 21 Items (DASS-21) scale and occupational burnout using the Maslach Burnout Inventory (MBI-GS version) scale. Statistical analyses included multivariable quantile regression models to identify associations and adjust for potential confounders. In total, 675 migraine patients and 232 non-migraine participants participated in the study. Migraine patients exhibited higher rates of depression (mean DASS-21: 0.864 vs. 0.664, standardized mean difference (SMD) = 0.262), tended to work longer hours (median weekly hours: 40.0 vs. 36.0, SMD = 0.148) and expressed a preference for remote work (20.3% vs. 10.3%, SMD = 0.097). Migraine patients reported significantly higher levels of occupational burnout (mean burnout score: 3.46 vs. 2.82, SMD = 0.469). Controlling for depression, anxiety and stress, migraine diagnosis (25th percentile estimate = 0.67, p = 0.002, 75th percentile estimate = 0.92, p = 0.032) and migraine severity (estimates: 2.2-5.3, p < 0.001 for all) were associated with higher levels of occupational burnout. Migraine diagnosis and severity is associated with an occupational burnout, after controlling for various psychological and work-related factors. The findings underscore the need for workplace adjustments to support migraine patients' participation in the work market.

Hearing Loss, Hearing Aids, and Cognition.

Most observational studies examining the association between hearing loss (HL) and cognitive impairment used subjective measures of hearing and addressed only one dimension of cognition, and very few investigated the potential benefit of hearing aids (HAs). To evaluate objectively measured HL and several dimensions of cognition and estimate the association with HA use. A cross-sectional analysis of the CONSTANCES cohort study, which recruited participants from January 1, 2012, to December 31, 2020, was conducted. Participants were a representative sample of adults (age, 45-69 years) with audiometric data and cognitive evaluation from 21 preventive health centers in France. Data analysis was conducted from April 1 to September 15, 2023. The main exposure was HL, which was defined by a pure-tone average in the best ear higher than 20 dB hearing level for mild loss and 35 dB hearing level for disabling loss. Secondary exposure was self-reported HA use. Cognition was evaluated at study inclusion by a standardized battery of 5 cognitive tests conducted by trained neuropsychologists. A global cognitive score was computed from principal component analysis and global cognitive impairment was defined as having a score less than or equal to the 25th percentile of the distribution. The study population included 62 072 participants with audiometric data (mean [SD] age, 57.4 [7] years; 52% women). Overall, 38% (n = 23 768) had mild HL, 10% (n = 6012) had disabling HL, and 3% (n = 1668) were HA users. In multivariable analyses, mild HL (odds ratio [OR], 1.10; 95% CI, 1.05-1.15) and disabling HL (OR, 1.24; 95% CI, 1.16-1.33) were associated with greater global cognitive impairment. The odds of cognitive impairment did not differ significantly between all participants with HA use and participants with disabling HL without HAs (OR, 0.94; 95% CI, 0.83-1.07), except among participants with depression (OR, 0.62; 95% CI, 0.44-0.88). In this cohort study, an association between the severity of HL and global cognitive impairment was found. The use of HAs was not associated with significantly lower odds of cognitive impairment. The findings suggest that it may be useful to monitor cognitive function in middle-aged individuals with HL.

Small-for-Gestational-Age Status and the Risk of Kawasaki Disease: A Nationwide Birth Cohort in Japan.

Kawasaki disease (KD) is a pediatric disease of unknown etiology that commonly affects infants in East Asia. Infants born small for gestational age (SGA) have weaker immune systems and are more susceptible to infection. Using data from a nationwide Japanese birth cohort study conducted in 2010 (n=34,579), we investigated whether SGA increases the risk of KD. SGA was defined as birth weight below the 10th percentile for gestational age. The outcome was hospitalization for KD between 6 and 30 months of age. The association between SGA and hospitalization for KD, adjusted for child and maternal factors, was examined using logistic regression. Of the 231 children hospitalized for KD, 9.5% were SGA. Further statistical analysis showed that SGA did not increase the odds ratio (OR) of hospitalization for KD (adjusted OR 1.12, 95% confidence interval 0.71-1.75). This result was not changed with stratification by early daycare attendance and preterm status. Reasons for the lack of association may include the multifactorial pathogenesis of KD; in addition, the types of infections to which SGA infants are predisposed may differ from those triggering KD. Overall, our large nationwide study found no association between SGA and KD.

Ultrasound shear wave elastography of the placenta: a potential tool for early detection of fetal growth restriction

BackgroundSonographic placental elastography has recently been employed as a non-invasive tool to investigate the structural alterations associated with various conditions such as pre-eclampsia, gestational diabetes and fetal growth restriction (FGR). The study was conducted based on the hypothesis that the placental elasticity might differ with varying severity of FGR and with that of appropriate for gestational age (AGA) pregnancies. MethodsThis study involved 121 pregnant women, with 54 in the normal group and 67 in the FGR group, which was defined as the fetal weight below the 10th percentile for gestational age. The FGR pregnancies were sub grouped into different stages based on the presence and extent of Doppler abnormalities. Shear-wave elastography was carried out to investigate the placental elasticity values, which were compared using the Kruskal-Wallis test. A P value of ≤0.05 was considered significant. ResultsThe placental elasticity differed significantly between pregnancies with and without FGR and among the different stages of FGR. There was a significant difference in PE (kPa) and SWV (m/s) among groups, with a p-value of 0.000001. PE and SWV in FGR pregnancies were significantly higher compared to AGA as a whole using t-test with p values of <0.0001. Doppler indices of umbilical, uterine and fetal middle cerebral arteries also correlated significantly with these. ConclusionThe study suggests that placental elasticity values reflect structural alterations associated with FGR and could serve as a valuable tool in the early detection and staging of this condition.

Drivers of Option-Implied Interest Rate Volatility

Option-implied volatilities of U.S. short-term interest rates have risen sharply since late 2021, reaching their highest levels in over a decade. Although these measures declined moderately since early 2023, they remain at around the 70th percentile of their historical distribution. This note links the implied volatility of short-term interest rates to macroeconomic uncertainty and highlights two fundamental drivers of short-term interest rate volatility over the past 30 years: inflation uncertainty and growth uncertainty.

Antineoplastic drugs in healthcare settings: Occupational exposure and risk graduation

Antineoplastic drugs (ADs) are hazardous medicinal products highlighted in the EU strategic framework on health and safety at work 2021–2027. To minimize workers' chronic exposure in oncologic settings, regular monitoring programs for these drugs are crucial and mandatory in the EU (Directive 2004/37/EC). No surveillance exists in Portugal, thus we intended to assess environmental contamination and to perform occupational exposure and risk graduation in a Portuguese tertiary hospital. Wipe sampling and liquid chromatography–tandem mass spectrometry were employed to analyze thirteen drugs of concern (bicalutamide, capecitabine, cyclophosphamide, cyproterone, doxorubicin, etoposide, flutamide, ifosfamide, imatinib, megestrol, mycophenolate mofetil, paclitaxel, prednisone), eight for the first time worldwide, in 152 surface samples over three sampling campaigns. Surface contamination before general cleaning (worst-case scenario) was higher and more widespread in the pharmacy (84%–98 % positive samples) than in the day-care hospital (40%–72 %). No samples were found above the “action limit” (10000 pg/cm2), but concentrations were frequently above the “safe”/alert level (100 pg/cm2), particularly for cyclophosphamide and ifosfamide (largest campaign's 90th percentiles: 2197 pg/cm2 and 1898 pg/cm2). Despite the approach's nuances, the maximum daily dermal intake calculated (1.6 μg/day, considering a single genotoxic drug) was lower than the acceptable daily intake. This study provided knowledge regarding surface contamination in a European hospital, where occupational exposure to some ADs of concern cannot be ruled out and follow-up monitoring is recommended, even if workers seem unlikely to develop cancer from handling them. Furthermore, this work contributes to the implementation of regular environmental monitoring programs for ADs in Portugal, enhancing compliance with EU recommendations.

Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We determined per-patient age- and sex-specific distributions of deep learning-based plaque measurements and further evaluated their risk prediction for myocardial infarction in external samples. In this international, multicenter study of 2803 patients, a previously validated deep learning system was used to quantify coronary plaque from computed tomography angiography. Age- and sex-specific distributions of coronary plaque volume were determined from 956 patients undergoing computed tomography angiography for stable coronary artery disease from 5 cohorts. Multicenter external samples were used to evaluate associations between coronary plaque percentiles and myocardial infarction. Quantitative deep learning plaque volumes increased with age and were higher in male patients. In the combined external sample (n=1847), patients in the ≥75th percentile of total plaque volume (unadjusted hazard ratio, 2.65 [95% CI, 1.47-4.78]; P=0.001) were at increased risk of myocardial infarction compared with patients below the 50th percentile. Similar relationships were seen for most plaque volumes and persisted in multivariable analyses adjusting for clinical characteristics, coronary artery calcium, stenosis, and plaque volume, with adjusted hazard ratios ranging from 2.38 to 2.50 for patients in the ≥75th percentile of total plaque volume. Per-patient age- and sex-specific distributions for deep learning-based coronary plaque volumes are strongly predictive of myocardial infarction, with the highest risk seen in patients with coronary plaque volumes in the ≥75th percentile.

Association of veteran suicide risk with state-level firearm ownership rates and firearm laws in the USA

BackgroundVeterans have higher suicide rates than matched non-veterans, with firearm suicides being especially prevalent among veterans. We examined whether state firearm laws and state firearm ownership rates are important risk...

Improved diagnostic performance of high-sensitivity cardiac troponins in muscle dystrophies using comprehensive definition criteria for cardiac involvement: A longitudinal study on 35 patients.

Sparse information is available on the correct interpretation of elevated high-sensitivity cardiac troponin (hs-cTn) in confirmed muscular dystrophies. Serum concentrations of hs-cTn T (hs-cTnT) and hs-cTn I (hs-cTnI) were determined in 35 stable outpatients with confirmed skeletal muscle dystrophies. We calculated sensitivities, specificities, and positive and negative predictive values of hs-cTnT and hs-cTnI for identification of cardiac involvement using a comprehensive definition that included diastolic left ventricular and right ventricular function, strain analysis using two-dimensional transthoracic echocardiogram and magnetic resonance imaging, myocardial biopsies, and consideration of a variety of triggers for cardiac injury, including arrhythmias, conduction disorders, and hypoxemia due to respiratory failure. Cardiac involvement was diagnosed in 34 of 35 cases. Specificities of hs-cTnT increased from 12.5% to 100% (p = 0.0006) applying the comprehensive definition compared to a definition based on electrocardiography and echocardiography alone. At the recommended 99th percentile upper limit of normal, sensitivities were significantly lower for hs-cTnI than for hs-cTnT (29.4% vs. 100%, p = 0.0164). Conversely, the specificities of hs-cTnT and hs-cTnI increased to 100% when using the comprehensive definition criteria for diagnosing cardiac involvement. Elevated hs-cTnT but not hs-cTnI discriminates cardiac involvement in cases with confirmed skeletal muscle dystrophies with very high sensitivity and 100% specificity. Prior reports on worse performance may be explained by the use of less sensitive imaging methods or incomplete assessment of cardiac involvement.

Modeling aboveground carbon stock under the forest canopy influence

The dominance, size, and sociological position of tree species are essential components of natural forest patterns, providing critical information for understandinh forest dynamics. These patterns can be influenced by a variety of factors. This study aimed to evaluate the effectiveness of using spectral, hydrological, and geographical variables to estimate aboveground carbon stock (AGC) across four canopy strata, defined by diametric percentiles, in a Brazilian Atlantic Forest remnant. Our methodology, which employed machine learning techniques (Random Forest - RF + Genetic Algorithm - GA) and Multiple Linear Regression (MLR) to model AGC, proved to be highly efficient, as evidenced by our results. We observed a wide range of AGC values, from 0.37 to 467.71 MgC.ha-1, with an average of 77.4 MgC.ha-1. Trees in the 30th, 60th, and 90th percentiles contributed, respectively, 97.32%, 87.74%, and 52.02% of the total AGC. Spectral and hydrological variables combined with basal area explain AGC stock. Our findings demonstrate the robustness of machine learning techniques and MLR methods in obtaining accurate carbon estimates and generating an optimized dataset. Trees within the 30th percentile represent a smaller portion of the total AGC, and their removal does not interfere with the relationship between AGC and spectral variables.

Assessing disease progression in ALS: prognostic subgroups and outliers.

Background: The rate of disease progression, measured by the decline of ALS Functional Rating Scale-Revised (ALSFRS-R) from symptom onset to diagnosis (ΔFS) is a well-established prognostic biomarker for predicting survival. Objectives: This study aims to categorize a large patient cohort based on the initial ΔFS and subsequently investigate survival deviations from the expected prognosis defined by ΔFS. Methods: 1056 ALS patients were stratified into three progression categories based on their ΔFS: slow progressors (below 25th percentile), intermediate progressors (between 25th and 75th percentiles), and fast progressors (above 75th percentile). Survival outcomes were classified as short survivors (<2 years), average survivors (2-5 years), and long survivors (>5 years). Clinical and demographic characteristics within each subgroup were then analyzed. Results: ΔFS stratification yielded cutoff values of <0.29, 0.29-1.03, and >1.03 points/month. Long survivors comprised 26% and 21% were short survivors. Six percent of the fast progressors had a life expectancy of more than 5 years, and none of the clinical and demographic characteristics analyzed could fully explain this discrepancy. Conversely, 13% of intermediate progressors lived less than 2 years, according to a short-diagnostic delay in these patients. Discussion: Our study reaffirms ΔFS as a prognostic biomarker for ALS. We disclosed outliers defying anticipated patterns. The observed shift in progression categories underscores the non-linear nature of disease progression. Genetic and unknown biological reasons may explain these deviations. Further research is needed to fully understand modulation of ALS survival.

Specific growth velocity reference charts for monochorionic twin pregnancies.

We aimed to create specific growth velocity reference charts for monochorionic (MC) twin pregnancies and provide additional information for assessing fetal growth in MC twins. This retrospective study collected data from uncomplicated MC twins with serial ultrasound parameters. The four ultrasound parameters, including biparietal diameter, femur length, head circumference, and abdominal circumference, were used to calculate the estimated fetal weight (EFW). Multilevel linear regression models were applied to fit growth velocity charts for each biometric parameter and EFW. Analysis of variance was used to examine differences in birthweight by whether EFW velocity and EFW values were <10th or ≥10th percentiles. The final analysis encompassed a total of 5956 ultrasound examinations conducted on 487 MC twins. The growth velocity of four biparietal diameters exhibited a gradual decrease in a nearly linear fashion progressing from 18 to 37 gestational weeks. The EFW velocity increased steadily from 18 to 36 gestational weeks, reaching a peak of 178.2 g/week, and then the velocity gradually decreased until delivery. At 32 weeks for illustration, the lightest birth weight was observed when both EFW and EFW velocity were <10th percentile (1899 g). The study also found that birth weight was higher when EFW velocity was ≥10th percentile compared with <10th percentile, regardless of EFW being below or above the 10th percentile (2263 and 1906 g, respectively; P < 0.001). We developed specific growth velocity reference charts for MC twins, which could provide a valuable reference point for a more precise evaluation of fetal growth in MC twins. Preliminary findings indicate that the inclusion of fetal growth velocity in monitoring fetal growth provides additional information beyond EFW alone.

Factors Affecting Length of Stay for Children Hospitalized After Pediatric Surgical Procedures.

Understanding the postoperative length of stay (LOS) by surgical procedure is important for hospital medicine clinicians involved in surgical co-management. We assessed variation in postoperative LOS for children after elective surgical procedures and risk factors for prolonged LOS. This study is a retrospective analysis of pediatric patients undergoing elective surgical procedures between January 1, 2018 and October 1, 2021 with postoperative hospitalization for recovery at a freestanding children's hospital. The postoperative LOS (number of days) was compared across types of surgery and by the number of chronic conditions (assessed with the Agency for Healthcare Research and Quality Condition Indicator system) using multivariable quantile regression. The median (interquartile range) LOS across all 347 types of surgical procedures combined was 2 (interquartile range 1-4). Surgical procedures (n = 85) with a median LOS between 3.0 and <5.0 days (eg, spinal fusion, Chiari decompression) accounted for 20.9% of all hospitalizations (N = 12 139) and 23.1% of all postoperative bed days. Procedures (n = 46) with a median LOS of ≥5.0 days (eg, femoral osteotomy, bladder reconstruction) accounted for 15.0% and 46.8% of all hospitalizations and bed days, respectively. After controlling for the type of procedure, having ≥4 (versus none) chronic conditions was significantly associated with experiencing a prolonged LOS (90th percentile: 5.2 days); patients with 4 to 6, versus no, chronic conditions stayed a median of 1.4 (95% confidence interval [CI] 0.7-2.2) days longer, those with 7 to 9 chronic conditions stayed a median of 1.9 (95% CI 1.0-2.7) days longer, and those with ≥10 chronic conditions stayed a median of 4.0 (95% CI 3.3-4.7) days longer. Hospital medicine clinicians can use the type of surgery in combination with the number of chronic conditions to estimate postoperative LOS after elective surgical procedures in children.

Application en routine des résultats d’un essai randomisé : performance de l’échographie en pratique courante pour le dépistage de la macrosomie fœtale

ObjectiveTo evaluate the performance of ultrasound at 36 weeks of gestation for screening fetal macrosomia according to the criteria of the randomized “DAME” trial. MethodRetrospective observational study over 2 years in a type 3 maternity hospital. The primary outcome was birth weight above the 97th percentile on Audipog birth weight curves. The sensitivity, specificity, positive and negative predictive value of ultrasound at 36 SA for predicting macrosomia were calculated. For each patient, the absolute value of the difference between actual and estimated weight [EPF difference=(Birth weight − Estimated weight)/Birth weight] was calculated. Among undetected macrosomic newborns (≥97th Audipog percentile), risk factors associated with misdiagnosis were investigated (false negatives versus true positives). ResultsUltrasound estimation of fetal weight at 36 SA to detect fetal macrosomia had a sensitivity of 43.7% and a specificity of 82.1%. With a positive predictive value for ultrasound of 36,9% and a negative predictive value of 85.8%. The mean absolute value of the difference between estimated and actual birth weight was 287g (95% CI [115–409]), with a mean relative difference of 6.8% (95% CI [3.0–11.3]). A relative difference of less than 10% between the estimated weight and the birth weight was found in 68.5% of the patients. Among macrosomic newborns (≥97th percentile), a third-trimester estimated fetal weight at or above the 90th percentile, along with a history of fetal macrosomia in a previous pregnancy, reduced the risk of false negatives in the screening ultrasound at 36 weeks of gestation. ConclusionUltrasound performed at 36 weeks’ gestation in a population targeted for suspected fetal macrosomia in routine practice has moderate sensitivity and positive predictive value. It would be timely for teams also applying this protocol to share their results, in order to verify whether or not our findings can be generalized to a larger scale.