Tag: statistics

Radiat Environ Biophys. 2021 Apr 2. doi: 10.1007/s00411-021-00907-9. Online ahead of print.

ABSTRACT

When planning treatment for Graves’ disease with ¹³¹I, the effective half-life (T_eff) should be estimated individually as it depends on biological characteristics such as iodine uptake and excretion, which differ from an individual to another (Berg et al. 1996). All the methods to quantify T_eff described in the literature are quite complex and are difficult to be used in clinical routine. With the aim of optimizing this process, a simplified method is proposed here to evaluate T_eff of ¹³¹I during treatment of Graves’ disease. The present study suggests improving the method of determining T_eff based on thermoluminescence dosimetry. This involves implementing a new method and includes reduction of TLD (Thermoluminescent Dosimeter) measurements. The proposed method was validated on patients with Graves’ disease. The radiation dose delivered to the patients was determined using the MIRD (Medical Internal Radiation Dosimetry) formalism. The relative difference between T_eff obtained based on seven measurement intervals at [0-24 h, 24-48 h, 48-72 h, 72-96 h, 96-120 h, 120-144 h, 144-168 h] and based on three measurement intervals at [0-24 h, 72-96 h, 144-168 h] and [0-24 h, 120-144 h, 144-168 h] was 1.9% and 3.81%, respectively. Comparison of doses obtained based on a general T_eff and on a personalized T_eff gave a statistically significant difference with a correlation coefficient R²of 0.44. The T_eff obtained from just three measurements was found to be sufficiently accurate and easily applicable. The results obtained demonstrate the need to determine and use personalized T_eff values instead of using a fixed value of 7 days.

PMID:33797646 | DOI:10.1007/s00411-021-00907-9

Sci Rep. 2021 Apr 1;11(1):7335. doi: 10.1038/s41598-021-86818-7.

ABSTRACT

Gestational diabetes mellitus (GDM) has aroused wide public concern, as it affects approximately 1.8-25.1% of pregnancies worldwide. This study aimed to examine the association of pre-pregnancy demographic parameters and early-pregnancy laboratory biomarkers with later GDM risk, and further to establish a nomogram prediction model. This study is based on the big obstetric data from 10 “AAA” hospitals in Xiamen. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Data are analyzed using Stata (v14.1) and R (v3.5.2). Total 187,432 gestational women free of pre-pregnancy diabetes mellitus were eligible for analysis, including 49,611 women with GDM and 137,821 women without GDM. Irrespective of confounding adjustment, eight independent factors were consistently and significantly associated with GDM, including pre-pregnancy body mass index (BMI), pre-pregnancy intake of folic acid, white cell count, platelet count, alanine transaminase, albumin, direct bilirubin, and creatinine (p < 0.001). Notably, per 3 kg/m² increment in pre-pregnancy BMI was associated with 22% increased risk [adjusted odds ratio (OR) 1.22, 95% confidence interval (CI) 1.21-1.24, p < 0.001], and pre-pregnancy intake of folic acid can reduce GDM risk by 27% (adjusted OR 0.73, 95% CI 0.69-0.79, p < 0.001). The eight significant factors exhibited decent prediction performance as reflected by calibration and discrimination statistics and decision curve analysis. To enhance clinical application, a nomogram model was established by incorporating age and above eight factors, and importantly this model had a prediction accuracy of 87%. Taken together, eight independent pre-/early-pregnancy predictors were identified in significant association with later GDM risk, and importantly a nomogram modeling these predictors has over 85% accuracy in early detecting pregnant women who will progress to GDM later.

PMID:33795771 | DOI:10.1038/s41598-021-86818-7

Sci Rep. 2021 Apr 1;11(1):7425. doi: 10.1038/s41598-021-86800-3.

ABSTRACT

Although it is well known that repairing large or massive tears under tension may have an adverse effect on healing of the repaired tendons, only few studies have addressed this issue in medium-sized isolated supraspinatus full-thickness tear. The purpose of this study was to compare the clinical outcomes and structural integrity of arthroscopic rotator cuff repair with tension versus without it. This study retrospectively investigated 90 patients who underwent arthroscopic repair in a single-row for medium-sized isolated supraspinatus full-thickness tear. The patients were assigned to either repaired under tension (Group A, n = 38) or repaired without tension (Group B, n = 52) groups. Functional outcomes were assessed using the patient reported subjective values and the active range of motion (ROM). Postoperative radiographic evaluation was performed 6 months after the surgery to assess the structural integrity of the repaired tendons. Changes in the subjective shoulder scores from initial to 2 years after surgery showed no statistical significance between the two groups. The ROMs measured at initial and 2 years after surgery also showed no statistical difference between the two groups. Postoperative radiological evaluations found a significantly higher re-tear rate in Group A (28.9%, 11/38) than in Group B (9.6%, 5/52). The torn cuff tendons that were repaired under tension as retraction with limited mobility had significantly higher re-tear rate despite having immobilized for 6 weeks after surgery, but their clinical outcomes showed no significant difference from the outcomes of repaired tendons without tension.

PMID:33795780 | DOI:10.1038/s41598-021-86800-3

Sci Rep. 2021 Apr 1;11(1):7384. doi: 10.1038/s41598-021-86761-7.

ABSTRACT

We investigated cross-sectional associations between children’s neurodevelopment and their gut microbiota composition. Study children (36 months of age) lived in rural China (n = 46). Neurodevelopment was assessed using the Bayley Scales of Infant Development, 2nd Edition, yielding the Mental Developmental Index (MDI) and Psychomotor Developmental Index (PDI). Children’s gut microbiota was assessed using 16S rRNA gene profiling. Microbial diversity was characterized using alpha diversity patterns. Additionally, 3 coabundance factors were determined for the 25 most abundant taxa. Multivariable linear regression models were constructed to examine the relationships between Bayley scores (MDI and PDI) and children’s gut microbiota. In adjusted models, MDI and PDI scores were not associated with alpha diversity indices. However, in adjusted models, MDI and PDI scores were positively associated with the first coabundance factor, which captured positive loadings for the genera Faecalibacterium, Sutterella, and Clostridium cluster XIVa. For an interquartile range increase in the first coabundance factor, MDI scores increased by 3.9 points [95% confidence interval (CI): 0, 7.7], while PDI scores increased by 8.6 points (95% CI 3.1, 14). Our results highlight the potential for gut microbial compositional characteristics to be important correlates of children’s Bayley Scales performance at 36 months of age.

PMID:33795717 | DOI:10.1038/s41598-021-86761-7

Sci Rep. 2021 Apr 1;11(1):7342. doi: 10.1038/s41598-021-86606-3.

ABSTRACT

We present different data analytic methodologies that have been applied in order to understand the evolution of the first wave of the Coronavirus disease 2019 in the Republic of Cyprus and the effect of different intervention measures that have been taken by the government. Change point detection has been used in order to estimate the number and locations of changes in the behaviour of the collected data. Count time series methods have been employed to provide short term projections and a number of various compartmental models have been fitted to the data providing with long term projections on the pandemic’s evolution and allowing for the estimation of the effective reproduction number.

PMID:33795723 | DOI:10.1038/s41598-021-86606-3

Sci Rep. 2021 Apr 1;11(1):7314. doi: 10.1038/s41598-021-86567-7.

ABSTRACT

Historically, conventional radiographs have been the primary tool to morphometrically evaluate the talocrural joint, which is comprised of the distal tibia, distal fibula, and proximal talus. More recently, high-resolution volumetric imaging, including computed tomography (CT), has enabled the generation of three-dimensional (3D) reconstructions of the talocrural joint. Weightbearing cone-beam CT (WBCT) technology provides additional benefit to assess 3D spatial relationships and joint congruency while the patient is load bearing. In this study we applied statistical shape modeling, a computational morphometrics technique, to objectively quantify anatomical variation, joint level coverage, joint space distance, and congruency at the talocrural joint. Shape models were developed from segmented WBCT images and included the distal tibia, distal fibula, and full talus. Key anatomical variation across subjects included the fibular notch on the tibia, talar trochlea sagittal plane rate of curvature, tibial plafond curvature with medial malleolus prominence, and changes in the fibular shaft diameter. The shape analysis also revealed a highly congruent talocrural joint with minimal inter-individual morphometric differences at the articular regions. These data are helpful to improve understanding of ankle joint pathologies and to guide refinement of operative treatments.

PMID:33795729 | DOI:10.1038/s41598-021-86567-7

Transl Psychiatry. 2021 Apr 1;11(1):202. doi: 10.1038/s41398-021-01313-x.

ABSTRACT

Genome-wide association studies (GWAS) and family-based studies have revealed partly overlapping genetic architectures between various psychiatric disorders. Given clinical overlap between disorders, our knowledge of the genetic architectures underlying specific symptom profiles and risk factors is limited. Here, we aimed to derive distinct profiles relevant to mental health in healthy individuals and to study how these genetically relate to each other and to common psychiatric disorders. Using independent component analysis, we decomposed self-report mental health questionnaires from 136,678 healthy individuals of the UK Biobank, excluding data from individuals with a diagnosed neurological or psychiatric disorder, into 13 distinct profiles relevant to mental health, capturing different symptoms as well as social and risk factors underlying reduced mental health. Utilizing genotypes from 117,611 of those individuals with White British ancestry, we performed GWAS for each mental health profile and assessed genetic correlations between these profiles, and between the profiles and common psychiatric disorders and cognitive traits. We found that mental health profiles were genetically correlated with a wide range of psychiatric disorders and cognitive traits, with strongest effects typically observed between a given mental health profile and a disorder for which the profile is common (e.g. depression symptoms and major depressive disorder, or psychosis and schizophrenia). Strikingly, although the profiles were phenotypically uncorrelated, many of them were genetically correlated with each other. This study provides evidence that statistically independent mental health profiles partly share genetic underpinnings and show genetic overlap with psychiatric disorders, suggesting that shared genetics across psychiatric disorders cannot be exclusively attributed to the known overlapping symptomatology between the disorders.

PMID:33795632 | DOI:10.1038/s41398-021-01313-x

Nat Commun. 2021 Apr 1;12(1):2033. doi: 10.1038/s41467-021-22334-6.

ABSTRACT

Genetic correlation analysis has quickly gained popularity in the past few years and provided insights into the genetic etiology of numerous complex diseases. However, existing approaches oversimplify the shared genetic architecture between different phenotypes and cannot effectively identify precise genetic regions contributing to the genetic correlation. In this work, we introduce LOGODetect, a powerful and efficient statistical method to identify small genome segments harboring local genetic correlation signals. LOGODetect automatically identifies genetic regions showing consistent associations with multiple phenotypes through a scan statistic approach. It uses summary association statistics from genome-wide association studies (GWAS) as input and is robust to sample overlap between studies. Applied to seven phenotypically distinct but genetically correlated neuropsychiatric traits, we identify 227 non-overlapping genome regions associated with multiple traits, including multiple hub regions showing concordant effects on five or more traits. Our method addresses critical limitations in existing analytic strategies and may have wide applications in post-GWAS analysis.

PMID:33795679 | DOI:10.1038/s41467-021-22334-6

Gastroenterol Nurs. 2021 Mar-Apr 01;44(2):106-115. doi: 10.1097/SGA.0000000000000529.

ABSTRACT

Clostridioides difficile infection is a major clinical challenge, which may be associated with severe complications. Clostridioides difficile infection may result in repeated episodes of diarrhea, abdominal pain, and dehydration, leading to an increased risk of mortality. Increasingly high rates of recurrent Clostridioides difficile-associated diarrhea, refractory to antibiotic therapy, are difficult to treat. The suboptimal response to antibiotic therapy has led to the need for fecal microbiota transplantation in addition to the more commonly prescribed antibiotic, vancomycin. This systematic review aims to evaluate the effectiveness of fecal microbiota transplantation in the resolution of recurrent Clostridioides difficile infection in adults, compared with an oral vancomycin regimen alone. A systematic literature search was performed, resulting in three randomized control studies. Results from the studies are conflicting, with different variations of study outcomes. In two of the three randomized control trials, fecal microbiota transplantation was statistically significant in effectively resolving Clostridioides difficile infection, but not significant in the third. Although fecal microbiota transplantation results are promising, there are many different variables within the studies, and further research is recommended to explore the effects of these variables within larger sample sizes.

PMID:33795620 | DOI:10.1097/SGA.0000000000000529

Gastroenterol Nurs. 2021 Mar-Apr 01;44(2):136-145. doi: 10.1097/SGA.0000000000000550.

ABSTRACT

Work-related musculoskeletal disorders occur frequently among the endoscopy staff, and patient-handling duties involved with colonoscopy-applying manual pressure and repositioning patients-are particularly physically demanding. This study explored whether the use of a lower abdominal compression device (ColoWrap), previously shown to reduce the need for manual pressure and patient repositioning, would diminish the frequency of staff-reported musculoskeletal pain. A randomized, blinded, sham-controlled clinical trial was performed at the University of North Carolina Hospitals. Three hundred fifty patients had either ColoWrap or a sham device applied before colonoscopy. The primary outcome was the frequency of staff-reported musculoskeletal pain after assisting with colonoscopy. In the intention-to-treat analysis, which included procedures in which ColoWrap was removed, there was no statistical difference in the frequency of staff-reported pain in the control versus ColoWrap arm (4.6% vs. 3.4% of procedures, p = .59). However, when ColoWrap was used as directed (e.g., remained in place for the duration of the procedure), the frequency of staff-reported musculoskeletal pain was significantly reduced (4.6% vs. 0.7% of procedures, p = 0.04). Use of ColoWrap as directed was also found to be independently associated with reduced odds of staff-reported pain relative to the sham arm (OR = 0.12; 95% CI [0.02, 0.95]). When used as directed, ColoWrap reduced the frequency of musculoskeletal pain experienced related to assisting with colonoscopy and may reduce the risk of musculoskeletal disorders and injuries among the endoscopy staff.

PMID:33795622 | DOI:10.1097/SGA.0000000000000550