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Nevin Manimala Statistics

Instructor Development Workshops for Advanced Life Support Training Courses Held in a Fully Virtual Space: Observational Study

JMIR Serious Games. 2022 Jun 29;10(2):e38952. doi: 10.2196/38952.

ABSTRACT

BACKGROUND: Various face-to-face training opportunities have been lost due to the COVID-19 pandemic. Instructor development workshops for advanced resuscitation (ie, advanced life support) training courses are no exception. Virtual reality (VR) is an attractive strategy for remote training. However, to our knowledge, there are no reports of resuscitation instructor training programs being held in a virtual space.

OBJECTIVE: This study aimed to investigate the learning effects of an instructor development workshop that was conducted in a virtual space.

METHODS: In this observational study, we created a virtual workshop space by using NEUTRANS (Synamon Inc)-a commercial VR collaboration service. The instructor development workshop for the advanced life support training course was held in a virtual space (ie, termed the VR course) as a certified workshop by the Japanese Association of Acute Medicine. We asked 13 instructor candidates (students) who participated in the VR course to provide a workshop report (VR group). Reports from a previously held face-to-face workshop (ie, the face-to-face course and group) were likewise prepared for comparison. A total of 5 certified instructor trainers viewed and scored the reports on a 5-point Likert scale.

RESULTS: All students completed the VR course without any problems and received certificates of completion. The scores for the VR group and the face-to-face group did not differ at the level of statistical significance (median 3.8, IQR 3.8-4.0 and median 4.2, IQR 3.9-4.2, respectively; P=.41).

CONCLUSIONS: We successfully conducted an instructor development workshop in a virtual space. The degree of learning in the virtual workshop was the same as that in the face-to-face workshop.

PMID:35767318 | DOI:10.2196/38952

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Nevin Manimala Statistics

Critical Comparison of the Quality and Content of Integrated Vascular Surgery, Thoracic Surgery, and Interventional Radiology Residency Training Program Websites: Qualitative Study

JMIR Med Educ. 2022 Jun 29;8(2):e35074. doi: 10.2196/35074.

ABSTRACT

BACKGROUND: With the move to virtual interviewing, residency websites are an important recruitment resource, introducing applicants to programs across the country and allowing for comparison. Recruitment is highly competitive from a common potential pool between vascular surgery, thoracic surgery, and interventional radiology with the ratio of applicants to positions being highest in interventional radiology, followed by thoracic surgery and lastly vascular surgery, as reported by the National Resident Matching Program.

OBJECTIVE: The aim of this study is to evaluate the accessibility and availability of online content for those integrated residency programs.

METHODS: A list of accredited vascular surgery, thoracic surgery, and interventional radiology residencies was obtained from the Accreditation Council for Graduate Medical Education (ACGME) database. Program websites were evaluated by trained independent reviewers (n=2) for content items pertaining to program recruitment and education (scored absent or present). Statistical analysis was performed in R software.

RESULTS: Of ACGME-accredited programs, 56 of 61 (92%) vascular surgery, 27 of 27 (100%) thoracic surgery, and 74 of 85 (87%) interventional radiology programs had functional websites (P=.12). Vascular surgery websites contained a median of 26 (IQR 20-32) content items, thoracic surgery websites contained a median of 27 (IQR 21-32) content items, and interventional radiology websites contained a median of 23 (IQR 18-27) content items. Two content items considered highly influential to applicant program decisions are procedural experience and faculty mentorship, which were reported at 32% (18/56) and 11% (6/56) for vascular surgery, 19% (5/27) and 11% (3/27) for thoracic surgery, and 50% (37/74) and 15% (11/74) for interventional radiology (P=.008 and P=.75), respectively. Key deficits were work hours, debt management, and curriculum for interventional radiology; resident profiles, sample contracts, and research interests in vascular surgery; and operative experiences and the program director’s contact and message for thoracic surgery. Interventional radiology deficits were work hours, and thoracic surgery deficits were procedural experience. Both interventional radiology and thoracic surgery websites lacked information on evaluation criteria and faculty mentorship.

CONCLUSIONS: This study has uncovered key differences in the availability of online content for residencies recruiting from the same pool of applicants. Thoracic surgery has the most information, followed by vascular surgery, with interventional radiology reporting the least content. In the era of virtual interviewing from the same potential pool of applicants, programs should review and revise their web presence with the aim to increase the availability of online content to attract valuable candidates.

PMID:35767342 | DOI:10.2196/35074

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Nevin Manimala Statistics

Updating the Spectral Correlation Index: Integrating Audibility and Band Importance Using Speech Intelligibility Index Weights

J Speech Lang Hear Res. 2022 Jun 29:1-7. doi: 10.1044/2022_JSLHR-21-00448. Online ahead of print.

ABSTRACT

The original Spectral Correlation Index (SCIo ) is a measure of amplitude envelope distortion that has been used in several studies to predict behavioral results. Because the original SCIo did not account for the differential contribution of particular frequency bands to speech intelligibility (i.e., band importance) or for audibility, a new “individual” version (the SCIi ) is proposed and evaluated. Sentence intelligibility data are used to compare the predictive power and goodness-of-fit for statistical models using two versions of the SCI. The SCIi provides significantly better fits to behavioral data than the SCIo . This result demonstrates the importance of accounting for and including signal audibility in analyzing and modeling data collected from the population of individuals with hearing impairment. With this update, the SCIi is a useful measure for predicting speech intelligibility based on amplitude envelope distortions.

PMID:35767317 | DOI:10.1044/2022_JSLHR-21-00448

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Nevin Manimala Statistics

Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation

Top Magn Reson Imaging. 2022 Jun 1;31(3):31-39. doi: 10.1097/RMR.0000000000000296. Epub 2022 Jun 28.

ABSTRACT

OBJECTIVES: Automated whole brain segmentation from magnetic resonance images is of great interest for the development of clinically relevant volumetric markers for various neurological diseases. Although deep learning methods have demonstrated remarkable potential in this area, they may perform poorly in nonoptimal conditions, such as limited training data availability. Manual whole brain segmentation is an incredibly tedious process, so minimizing the data set size required for training segmentation algorithms may be of wide interest. The purpose of this study was to compare the performance of the prototypical deep learning segmentation architecture (U-Net) with a previously published atlas-free traditional machine learning method, Classification using Derivative-based Features (C-DEF) for whole brain segmentation, in the setting of limited training data.

MATERIALS AND METHODS: C-DEF and U-Net models were evaluated after training on manually curated data from 5, 10, and 15 participants in 2 research cohorts: (1) people living with clinically diagnosed HIV infection and (2) relapsing-remitting multiple sclerosis, each acquired at separate institutions, and between 5 and 295 participants’ data using a large, publicly available, and annotated data set of glioblastoma and lower grade glioma (brain tumor segmentation). Statistics was performed on the Dice similarity coefficient using repeated-measures analysis of variance and Dunnett-Hsu pairwise comparison.

RESULTS: C-DEF produced better segmentation than U-Net in lesion (29.2%-38.9%) and cerebrospinal fluid (5.3%-11.9%) classes when trained with data from 15 or fewer participants. Unlike C-DEF, U-Net showed significant improvement when increasing the size of the training data (24%-30% higher than baseline). In the brain tumor segmentation data set, C-DEF produced equivalent or better segmentations than U-Net for enhancing tumor and peritumoral edema regions across all training data sizes explored. However, U-Net was more effective than C-DEF for segmentation of necrotic/non-enhancing tumor when trained on 10 or more participants, probably because of the inconsistent signal intensity of the tissue class.

CONCLUSIONS: These results demonstrate that classical machine learning methods can produce more accurate brain segmentation than the far more complex deep learning methods when only small or moderate amounts of training data are available (n ≤ 15). The magnitude of this advantage varies by tissue and cohort, while U-Net may be preferable for deep gray matter and necrotic/non-enhancing tumor segmentation, particularly with larger training data sets (n ≥ 20). Given that segmentation models often need to be retrained for application to novel imaging protocols or pathology, the bottleneck associated with large-scale manual annotation could be avoided with classical machine learning algorithms, such as C-DEF.

PMID:35767314 | DOI:10.1097/RMR.0000000000000296

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Nevin Manimala Statistics

Preparation and Characterization of Emamectin Benzoate Nanocapsules Based on Dual Role of Polydopamine

Pest Manag Sci. 2022 Jun 29. doi: 10.1002/ps.7061. Online ahead of print.

ABSTRACT

BACKGROUND: Developing pesticide controlled release formulation with foliage adhesion has become the focus of current research in the field of crop protection. In this study, an excellent adhesive nanocapsule loaded with emamectin benzoate (Eb@PDA) was prepared via emulsion interfacial polymerization based on the self-polymerization ability and adhesion properties of polydopamine (PDA).

RESULTS: Physicochemical properties of the Eb@PDA were characterized by scanning electron microscopy, transmission electron microscopy, particle size statistics, Fourier transform infrared spectroscopy and X-ray diffraction. The Eb@PDA presented a regular spherical shape, with an average particle size of 148.6 nm. Compared with conventional formulations, it had higher pesticide-loading content (34%) and excellent adhesion onto corn leaf. In addition, Eb@PDA showed sustained-release characteristics, facilitating the release of Eb at low pH and high temperature. Eb@PDA could effectively protect Eb against photodegradation and had a longer effective period for controlling Spodoptera frugiperda and Spodoptera exigua. Furthermore, acute toxicity tests show that the 50% lethal concentration (LC50 ) was 80.91 and 57.91 mg kg-1 at 7 and 14 days, respectively, indicating a lower toxicity of the Eb@PDA to earthworms. The cells (L02) treated Eb@PDA showed a higher survival rate (94.1%) but a lower apoptosis rate (only 5.75%), demonstrating the lower cytotoxicity of the Eb@PDA.

CONCLUSION: The self-prepared Eb@PDA could be used as a formulation with the advantages of slow release, UV shielding, strong leaf adhesion, superior insecticidal properties, sustained effectiveness and biosafety. And it will facilitate the development of an efficient and safe pesticide delivery system. This article is protected by copyright. All rights reserved.

PMID:35767285 | DOI:10.1002/ps.7061

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Nevin Manimala Statistics

Comparison of Retinal Nerve Fiber Layer and Ganglion Cell-Inner Plexiform Layer Thickness Values Using Spectral-Domain and Swept-Source OCT

Transl Vis Sci Technol. 2022 Jun 1;11(6):27. doi: 10.1167/tvst.11.6.27.

ABSTRACT

PURPOSE: To compare peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell-inner plexiform layer (mGCIPL) thickness measurements obtained with spectral domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) using an OCT-angiography scanning protocol, and their ability to distinguish among patients with glaucoma, glaucoma suspects (GS), and healthy controls (HC).

METHODS: Cross-sectional study of 196 eyes (81 glaucoma, 48 GS, and 67 HC) of 119 participants. Participants underwent peripapillary and macular OCT with SD-OCT and SS-OCT. Parameters of interest were average and sector-wise pRNFL and mGCIPL thickness. Inter-device agreement was investigated with Bland-Altman statistics. Conversion formulas were developed with linear regression. Diagnostic performances were evaluated with area under the receiver operating characteristic curves.

RESULTS: Both SD-OCT and SS-OCT detected a significant pRNFL and mGCIPL thinning in glaucoma patients compared to HC and GS for almost all study sectors. A strong linear relationship between the two devices was present for all quadrants/sectors (R2 ≥ 0.81, P < 0.001), except for the nasal (R2 = 0.49, P < 0.001) and temporal (R2 = 0.62, P < 0.001) pRNFL quadrants. SD-OCT and SS-OCT measurements had a proportional bias, which could be removed with conversion formulas. Overall, the two devices showed similar diagnostic abilities.

CONCLUSIONS: Thickness values obtained with SD-OCT and SS-OCT are not directly interchangeable but potentially interconvertible. Both devices have a similar ability to discriminate glaucoma patients from GS and healthy subjects.

TRANSLATIONAL RELEVANCE: OCT-Angiography scans can be reliably used to obtain structural metrics in glaucoma patients.

PMID:35767273 | DOI:10.1167/tvst.11.6.27

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Nevin Manimala Statistics

Development and Validation of a Prediction Model for Perinatal Arterial Ischemic Stroke in Term Neonates

JAMA Netw Open. 2022 Jun 1;5(6):e2219203. doi: 10.1001/jamanetworkopen.2022.19203.

ABSTRACT

IMPORTANCE: Perinatal arterial ischemic stroke (PAIS) is a focal brain injury in term neonates that is identified postnatally but is presumed to occur near the time of birth. Many pregnancy, delivery, and fetal factors have been associated with PAIS, but early risk detection is lacking; thus, targeted treatment and prevention efforts are currently limited.

OBJECTIVE: To develop and validate a diagnostic risk prediction model that uses common clinical factors to predict the probability of PAIS in a term neonate.

DESIGN, SETTING, AND PARTICIPANTS: In this diagnostic study, a prediction model was developed using multivariable logistic regression with registry-based case data collected between January 2003, and March 2020, from the Alberta Perinatal Stroke Project, Canadian Cerebral Palsy Registry, International Pediatric Stroke Study, and Alberta Pregnancy Outcomes and Nutrition study. Criteria for inclusion were term birth and no underlying medical conditions associated with stroke diagnosis. Records with more than 20% missing data were excluded. Variable selection was based on peer-reviewed literature. Data were analyzed in September 2021.

EXPOSURES: Clinical pregnancy, delivery, and neonatal factors associated with PAIS as common data elements across the 4 registries.

MAIN OUTCOMES AND MEASURES: The primary outcome was the discriminative accuracy of the model predicting PAIS, measured by the concordance statistic (C statistic).

RESULTS: Of 2571 term neonates in the initial analysis (527 [20%] case and 2044 [80%] control individuals; gestational age range, 37-42 weeks), 1389 (54%) were male, with a greater proportion of males among cases compared with controls (318 [60%] vs 1071 [52%]). The final model was developed using 1924 neonates, including 321 cases (17%) and 1603 controls (83%), and 9 clinical factors associated with risk of PAIS in term neonates: maternal age, tobacco exposure, recreational drug exposure, preeclampsia, chorioamnionitis, intrapartum maternal fever, emergency cesarean delivery, low 5-minute Apgar score, and male sex. The model demonstrated good discrimination between cases and controls (C statistic, 0.73; 95% CI, 0.69-0.76) and good model fit (Hosmer-Lemeshow P = .20). Internal validation techniques yielded similar C statistics (0.73 [95% CI, 0.69-0.77] with bootstrap resampling, 10-fold cross-validated area under the curve, 0.72 [bootstrap bias-corrected 95% CI, 0.69-0.76]), as did a sensitivity analysis using cases and controls from Alberta, Canada, only (C statistic, 0.71; 95% CI, 0.65-0.77).

CONCLUSIONS AND RELEVANCE: The findings suggest that clinical variables can be used to develop and internally validate a model to predict the risk of PAIS in term neonates, with good predictive performance and strong internal validity. Identifying neonates with a high probability of PAIS who could then be screened for early diagnosis and treatment may be associated with reductions in lifelong morbidity for affected individuals and their families.

PMID:35767262 | DOI:10.1001/jamanetworkopen.2022.19203

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Nevin Manimala Statistics

Prothrombin Complex Concentrate vs Plasma for Post-Cardiopulmonary Bypass Coagulopathy and Bleeding: A Randomized Clinical Trial

JAMA Surg. 2022 Jun 29. doi: 10.1001/jamasurg.2022.2235. Online ahead of print.

ABSTRACT

IMPORTANCE: Post-cardiopulmonary bypass (CPB) coagulopathy and bleeding are among the most common reasons for blood product transfusion in surgical practices. Current retrospective data suggest lower transfusion rates and blood loss in patients receiving prothrombin complex concentrate (PCC) compared with plasma after cardiac surgery.

OBJECTIVE: To analyze perioperative bleeding and transfusion outcomes in patients undergoing cardiac surgery who develop microvascular bleeding and receive treatment with either PCC or plasma.

DESIGN, SETTING, AND PARTICIPANTS: A single-institution, prospective, randomized clinical trial performed at a high-volume cardiac surgical center. Patients were aged 18 years or older and undergoing cardiac surgery with CPB. Patients undergoing complex cardiac surgical procedures (eg, aortic replacement surgery, multiple procedures, or repeated sternotomy) were preferentially targeted for enrollment. During the study period, 756 patients were approached for enrollment, and 553 patients were randomized. Of the 553 randomized patients, 100 patients met criteria for study intervention.

INTERVENTIONS: Patients with excessive microvascular bleeding, a prothombin time (PT) greater than 16.6 seconds, and an international normalized ratio (INR) greater than 1.6 were randomized to receive treatment with either PCC or plasma. The PCC dose was 15 IU/kg or closest standardized dose; the plasma dose was a suggested volume of 10 to 15 mL/kg rounded to the nearest unit.

MAIN OUTCOMES AND MEASURES: The primary outcome was postoperative bleeding (chest tube output) from the initial postsurgical intensive care unit admission through midnight on postoperative day 1. Secondary outcomes were PT/INR, rates of intraoperative red blood cell (RBC) transfusion after treatment, avoidance of allogeneic transfusion from the intraoperative period to the end of postoperative day 1, postoperative bleeding, and adverse events.

RESULTS: One hundred patients (mean [SD] age, 66.8 [13.7] years; 61 [61.0%] male; and 1 [1.0%] Black, 1 [1.0%] Hispanic, and 98 [98.0%] White) received the study intervention (49 plasma and 51 PCC). There was no significant difference in chest tube output between the plasma and PCC groups (median [IQR], 1022 [799-1575] mL vs 937 [708-1443] mL). After treatment, patients in the PCC arm had a greater improvement in PT (effect estimate, -1.37 seconds [95% CI, -1.91 to -0.84]; P < .001) and INR (effect estimate, -0.12 [95% CI, -0.16 to -0.07]; P < .001). Fewer patients in the PCC group required intraoperative RBC transfusion after treatment (7 of 51 patients [13.7%] vs 15 of 49 patients [30.6%]; P = .04); total intraoperative transfusion rates were not significantly different between groups. Seven (13.7%) of 51 patients receiving PCCs avoided allogeneic transfusion from the intraoperative period to the end of postoperative day 1 vs none of those receiving plasma. There were no significant differences in postoperative bleeding, transfusions, or adverse events.

CONCLUSIONS AND RELEVANCE: The results of this study suggest a similar overall safety and efficacy profile for PCCs compared with plasma in this clinical context, with fewer posttreatment intraoperative RBC transfusions, improved PT/INR correction, and higher likelihood of allogeneic transfusion avoidance in patients receiving PCCs.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02557672.

PMID:35767271 | DOI:10.1001/jamasurg.2022.2235

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Nevin Manimala Statistics

Association of Residential Racial and Ethnic Segregation With Legal Intervention Injuries in California

JAMA Netw Open. 2022 Jun 1;5(6):e2219217. doi: 10.1001/jamanetworkopen.2022.19217.

ABSTRACT

IMPORTANCE: The continued harm of Black individuals in the US by law enforcement officers calls for reform of both law enforcement officers and structural racism embedded in communities.

OBJECTIVE: To examine the association between county characteristics and racial and ethnic disparities in legal intervention injuries.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective, cross-sectional study was conducted among 27 671 patients presenting to California hospitals from January 1, 2016, to December 31, 2019, with legal intervention injuries (defined as any injury sustained as a result of an encounter with any law enforcement officer) as identified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes.

MAIN OUTCOMES AND MEASURES: Legal intervention injuries were classified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision external cause of injury code Y35. Expected injury counts were calculated for each county by multiplying statewide median rates of injury per capita for each age-racial and ethnic group, and then observed to expected injury ratios were measured. The association between county injury ratio, percentage of Black individuals, and residential segregation (measured using an index of dissimilarity) was modeled, stratifying by race and ethnicity.

RESULTS: A total of 27 671 patients (24 159 male patients [87.3%]; 1734 Asian and Pacific Islander [6.3%], 5049 Black [18.2%], 11 250 Hispanic [40.7%], and 9638 White [34.8%]; mean [SD] age, 34.2 [12.5] years) presented with legal intervention injuries in California from 2016 to 2019. Observed to expected injury ratios ranged from 0 to 7 for Black residents and from 0 to 5 for White residents. High observed to expected injury ratios for Black residents (408 observed vs 60 expected; ratio = 7) were clustered around San Francisco Bay Area counties and corresponded with a higher proportion of Black residents. High observed to expected injury ratios for White residents (57 observed vs 11 expected; ratio = 5) clustered around rural northern California counties and corresponded with higher mean percentage of residents with income below the federal poverty level and fewer urban areas.

CONCLUSIONS AND RELEVANCE: This study suggests that residential segregation may be associated with increased legal intervention injury rates for Black residents of California counties with a large percentage of Black residents. Reform efforts to address racial and ethnic disparities in these injuries should carefully consider and address the legacy of discriminatory policies that has led to segregated communities in California and the United States.

PMID:35767261 | DOI:10.1001/jamanetworkopen.2022.19217

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Nevin Manimala Statistics

Associations of Fetal and Infant Growth Patterns With Early Markers of Arterial Health in School-Aged Children

JAMA Netw Open. 2022 Jun 1;5(6):e2219225. doi: 10.1001/jamanetworkopen.2022.19225.

ABSTRACT

IMPORTANCE: Fetal life and infancy might be critical periods for predisposing individuals to develop cardiovascular disease in adulthood.

OBJECTIVE: To examine the associations of fetal and infant weight growth patterns with early markers of arterial health.

DESIGN, SETTING, AND PARTICIPANTS: This population-based prospective cohort study was conducted from early fetal life onward among 4484 offspring of women in Rotterdam, the Netherlands, delivering between April 1, 2002, and January 31, 2006. Statistical analysis was performed between January 1 and August 31, 2021.

EXPOSURES: Estimated fetal weight was measured in the second and third trimester. Data on weight and gestational age at birth were collected from midwives. Infant weight was measured at 6, 12, and 24 months.

MAIN OUTCOMES AND MEASURES: The common carotid intima-media thickness (cIMT) and carotid distensibility were measured as early markers of arterial health.

RESULTS: Follow-up measurements were available for 4484 children (2260 girls [50.4%]; median age, 9.7 years [95% range, 9.3-10.5 years]; and 2578 [57.5%] of Dutch ethnicity). Gestational age at birth was not associated with markers of arterial health. A 500-g-higher birth weight was associated with increased cIMT (standard deviation score [SDS], 0.08 mm [95% CI, 0.05-0.10 mm]) and a lower carotid distensibility (SDS, -0.05 × 10-3 kPa-1; [95% CI, -0.08 to -0.03 × 10-3 kPa-1]). Compared with children with a birth weight of 2500 to 4500 g, those weighing more than 4500 g had the lowest carotid distensibility (difference in SDS, -0.22 × 10-3 kPa-1 [95% CI, -0.42 to -0.02 × 10-3 kPa-1]). Conditional regression analyses showed that higher third-trimester fetal weight and birth weight were associated with increased cIMT (difference in SDS: third-trimester fetal weight, 0.08 mm [95% CI, 0.04-0.12 mm]; birth weight, 0.05 mm [95% CI, 0.01-0.09 mm]) and that higher weight at 6, 12, and 24 months was associated with increased cIMT (difference in SDS: 6 months, 0.05 mm [95% CI, 0.01-0.10 mm]; 12 months, 0.06 mm [95% CI, 0.02-0.10 mm]; and 24 months, 0.07 mm [95% CI, 0.03-0.11 mm]) and lower carotid distensibility (difference in SDS: 6 months, -0.04 × 10-3 kPa-1 [95% CI, -0.09 to -0.001 × 10-3 kPa-1]; 12 months, -0.05 × 10-3 kPa-1 [95% CI, -0.09 to -0.01 × 10-3 kPa-1]; and 24 months, -0.10 × 10-3 kPa-1 [95% CI, -0.15 to -0.06 × 10-3 kPa-1]). Compared with children with normal fetal and infant growth, children with normal fetal growth that was followed by accelerated infant growth had the highest cIMT (SDS, 0.19 mm [95% CI, 0.07-0.31 mm]) and lowest carotid distensibility (SDS, -0.16 × 10-3 kPa-1 [95% CI, -0.28 to -0.03 × 10-3 kPa-1]). The observed associations were largely explained by childhood body mass index.

CONCLUSIONS AND RELEVANCE: In this cohort study of 4484 children aged approximately 10 years, higher fetal and infant weight growth patterns were associated with early markers of impaired arterial health. Childhood body mass index seemed to be involved in the underlying pathways of the observed associations.

PMID:35767260 | DOI:10.1001/jamanetworkopen.2022.19225