Category: Statistics

Bioinspir Biomim. 2022 Jan 13. doi: 10.1088/1748-3190/ac4afa. Online ahead of print.

ABSTRACT

In this paper, we present an open-source software library that can be used to numerically simulate the advection and diffusion of a chemical concentration or heat density in a viscous fluid where a moving, elastic boundary drives the fluid and acts as a source or sink. The fully- coupled fluid-structure interaction problem of an elastic boundary in a viscous fluid is solved using Peskin’s immersed boundary method. The addition or removal of the concentration or heat density from the boundary is solved using an immersed boundary-like approach in which the concentration is spread from the immersed boundary to the fluid using a regularized delta function. The concentration or density over time is then described by the advection-diffusion equation and numerically solved. This functionality has been added to our software library, IB2d, which provides an easy-to-use immersed boundary method in two dimensions with full implementations in MATLAB and Python. We provide four examples that illustrate the usefulness of the method. A simple rubber band that resists stretching and absorbs and releases a chemical concentration is simulated as a first example. Complete convergence results are presented for this benchmark case. Three more biological examples are presented: (1) an oscillating row of cylinders, representative of an idealized appendage used for filter-feeding or sniffing, (2) an oscillating plate in a background flow is considered to study the case of heat dissipation in a vibrating leaf, and (3) a simplified model of a pulsing soft coral where carbon dioxide is taken up and oxygen is released as a byproduct from the moving tentacles. This method is applicable to a broad range of problems in the life sciences, including chemical sensing by antennae, heat dissipation in plants and other structures, the advection-diffusion of morphogens during development, filter-feeding by marine organisms, and the release of waste products from organisms in flows.

PMID:35026749 | DOI:10.1088/1748-3190/ac4afa

Early Hum Dev. 2022 Jan 10;165:105538. doi: 10.1016/j.earlhumdev.2022.105538. Online ahead of print.

ABSTRACT

BACKGROUND: Neonatal jaundice occurs in approximately 60% of term newborns. Although risk factors for neonatal jaundice have been studied, all the suggested strategies are based on various newborn tests for bilirubin levels. We aim to stratify neonates into risk groups for clinically significant neonatal jaundice using a combined data analysis approach, without serum bilirubin evaluation.

STUDY DESIGN: Term (gestational week 37-42) neonates born in a single medical center, 2005-2018 were identified. Anonymized data were analyzed using machine learning. Thresholds for stratification into risk groups were established. Associations were evaluated statistically using neonates with and without clinically significant neonatal jaundice from the study population.

RESULTS: A total of 147,667 consecutive term live neonates were included. The machine learning diagnostic ability to evaluate the risk for neonatal jaundice was 0.748; 95% CI 0.743-0.754 (AUC). The most important factors were (in order of importance) maternal blood type, maternal age, gestational age at delivery, estimated birth weight, parity, CBC at admission, and maternal blood pressure at admission. Neonates were then stratified by risk: 61% (n = 90,140) were classed as low-risk, 39% (n = 57,527) as higher-risk. Prevalence of jaundice was 4.14% in the full cohort, and 1.47% and 8.29% in the low- and high-risk cohorts, respectively; OR 6.06 (CI: 5.7-6.45) for neonatal jaundice in high-risk group.

CONCLUSION: A population tailored “first step” screening policy using machine learning model presents potential of neonatal jaundice risk stratification for term neonates. Future development and validation of this computational model are warranted.

PMID:35026695 | DOI:10.1016/j.earlhumdev.2022.105538

Clin Biomech (Bristol, Avon). 2022 Jan 1;92:105555. doi: 10.1016/j.clinbiomech.2021.105555. Online ahead of print.

ABSTRACT

BACKGROUND: Dislocation after total hip arthroplasty is a frequent cause of revision surgery. This study was performed to determine the optimal implant alignment in total hip arthroplasty by simulating the postoperative range of motion.

METHODS: All operations were performed via posterolateral approach using combined anteversion of the stem and cup technique. Maximum range of motion without implant impingement was simulated in 79 replaced hips using postoperative computed tomography and the achievement of the required range of motion defined by previous studies was assessed. Optimal cup and stem alignment for impingement-free range of motion were statistically determined using the receiver operator coefficient curve.

FINDINGS: Cup inclination and anteversion, stem anteversion, and combined anteversion were 37.6°, 20.1°, 26.2°, and 46.3°, respectively. Maximum range of motion in flexion, extension, internal rotation at 90° of flexion, and external rotation were 131.8°, 42.3°, 56.4°, and 64.5°, respectively. Flexion >110°, extension >30°, internal rotation >30° at 90° of flexion, and external rotation >30° were fulfilled by 96%, 86%, 92%, and 96% of all replaced hips, respectively. Optimal implant alignment for impingement-free range of motion was 34°-43° of cup inclination, 18°-26° of cup anteversion, 17°-29° of stem anteversion, and 35°-56° of combined anteversion. Both cup and stem anteversion showed significant relationship with postoperative range of motion.

INTERPRETATION: Surgeons could gain valuable insights into optimal cup and stem alignment to perform postoperative range of motion simulations.

PMID:35026659 | DOI:10.1016/j.clinbiomech.2021.105555

Clin Nutr. 2022 Jan 4;41(2):526-535. doi: 10.1016/j.clnu.2021.12.038. Online ahead of print.

ABSTRACT

BACKGROUND & AIMS: The World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) updated their cancer prevention recommendations in 2018. Adherence to these recommendations has been associated with lower cancer risk and mortality. However, adherence in relation to Cancer of Unknown Primary (CUP) risk has not been studied. This study investigates whether adherence to the WCRF/AICR recommendations is associated with CUP risk.

METHODS: Data from the prospective Netherlands Cohort Study on diet and cancer was used to measure adherence to the recommendations in relation to CUP risk. The cohort includes 120 852 participants (aged 55-69 years), who completed a self-administered questionnaire on cancer risk factors at baseline. Adherence was investigated with respect to body fatness, physical activity, plant foods, meat consumption and alcohol. Incident CUP cases were identified through record linkage to the Netherlands Cancer Registry and Dutch Pathology Registry. A follow-up of 20.3 years, resulted in 856 incident CUP cases and 3911 subcohort members with complete information available for case-cohort analyses. Multivariable adjusted hazard ratios were estimated using proportional hazards models and were adjusted for age at baseline, sex, cigarette smoking (status, frequency, and duration) and total energy intake.

RESULTS: Highest adherence appeared to be associated with decreased CUP risk in the age-sex adjusted model (HR: 0.76, 95% CI: 0.62-0.92). After additional adjustment for cigarette smoking (status, frequency, and duration), the association attenuated and was no longer statistically significant. No multiplicative interactions were observed between sex nor smoking status and overall adherence in relation to CUP.

CONCLUSION: Within this cohort, highest adherence to the WCRF/AICR recommendations is not statistically significantly associated with decreased CUP risk after multivariable adjustment.

PMID:35026689 | DOI:10.1016/j.clnu.2021.12.038

Sleep Med. 2021 Dec 23;89:166-175. doi: 10.1016/j.sleep.2021.12.011. Online ahead of print.

ABSTRACT

BACKGROUND: Adverse Childhood Experiences (ACEs) are associated with numerous adverse health outcomes in adulthood. Our objective was to investigate associations between ACEs and sleep measures among 206 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress study.

METHODS: ACEs (independent variable) was assessed using the ACE questionnaire. Sleep measures were assessed using the Pittsburgh Sleep Quality Index and actigraphy. ANOVA/ANCOVA were used to investigate associations between ACEs and sleep measures.

RESULTS: The mean self-reported sleep duration was significantly lower among participants who reported ≥1 ACEs compared to those who reported no ACEs (6.0 ± 0.11 vs. 6.4 ± 0.14 h; multivariate-adjusted p = 0.035). Sleep efficiency was significantly lower among participants who reported ≥1 ACEs compared to those who reported none (mean = 88.7%, 95% CI = 87.7-89.6 vs. 90.2%, 89.2-91.2; unadjusted p = 0.031) but was slightly attenuated and lost statistical significance after multivariate-adjustment (88.8%, 87.8-89.7 vs. 90.1%, 88.9-91.1; p = 0.094). Compared to participants who reported no ACEs, those who reported ≥1 ACEs had a higher mean activity index score (36.9 ± 0.96 vs. 31.2 ± 1.25; multivariate-adjusted p = 0.001); a higher mean wake after sleep onset (WASO) (44.3 ± 2.24 vs. 35.3 ± 2.92 min; multivariate-adjusted p = 0.019); and a higher sleep fragmentation index (3.8 ± 1.65 vs. 3.3 ± 1.20 unadjusted p = 0.044 and 3.8 ± 0.13 vs. 3.3 ± 0.18; multivariate-adjusted p = 0.062). Among men (but not women) who reported ≥1 ACEs, self-reported sleep duration was significantly lower (5.9 ± 0.13 vs. 6.4 ± 0.15 h; multivariate-adjusted p = 0.025) and activity index was significantly higher (39.1 ± 1.3 vs. 33.2 ± 1.51; multivariate-adjusted p = 0.004) compared to those who reported no ACEs.

CONCLUSION: Exposure to ≥1 ACE was associated with worse sleep measures.

PMID:35026653 | DOI:10.1016/j.sleep.2021.12.011

Technol Cancer Res Treat. 2022 Jan-Dec;21:15330338211067309. doi: 10.1177/15330338211067309.

ABSTRACT

Objectives: The primary aim of the study was to identify miRNAs that were differentially expressed between complete hydatidiform moles (CHMs) that turned out to be gestational trophoblastic neoplasia (GTN) [GTN moles] and CHMs that regressed spontaneously after evacuation [remission moles]. The secondary aim was to study the profiles of miRNA expressions in CHMs. Methods: A case-control study was conducted on GTN moles and remission moles. We quantitatively assessed the expression of 800 human miRNAs from molar tissues using Nanostring nCounter. Results: From a pilot study, 21 miRNAs were significantly downregulated in GTN moles compared to the remission moles. Five of them (miR-566, miR-608, miR-1226-3p, miR-548ar-3p and miR-514a-3p) were downregulated for >4 folds. MiR-608 was selected as a candidate for further analysis on 18 CHMs (9 remission moles and 9 GTN moles) due to its striking association with malignant formation. MiR-608 expression was slightly lower in GTN moles compared to the remission moles, that is, 2.22 folds change [p = 0.063]. Conclusion: We identified 21 miRNAs that were differentially expressed between GTN moles and remission moles suggesting that miRNA profiles can distinguish between the two groups. Although not reaching statistically significant, miR-608 expression was slightly lower in GTN moles compared to remission moles.

PMID:35023789 | DOI:10.1177/15330338211067309

Rev Med Inst Mex Seguro Soc. 2021 Aug 2;59(4):306-312.

ABSTRACT

BACKGROUND: Atopic dermatitis (AD) is a disease with an impact on the patient’s quality of life (QoL). Several tools have been designed to assess the clinical severity of the disease, such as the Eczema Area and Severity Index (EASI), while specific instruments have been created to assess QoL, such as the Dermatology Life Quality Index (DLQI) and the Quality of Life Index for Atopic Dermatitis (QoLIAD).

OBJECTIVE: To define which tool is the best to assess the QoL condition of adult patients with AD in relation to the EASI.

MATERIAL AND METHODS: Patients with AD (> 18 years old) were selected who agreed to complete the DLQI and QoLIAD questionnaires, as well as to have a dermatologic examination reported according to the EASI. Three simple linear regression models were fitted in order to quantify the association between EASI with DLQI and QoLIAD. A value of p < 0.05 was considered statistically significant. The CV condition model with the highest pseudo R2 value was considered to have the strongest association with EASI.

RESULTS: A total of 72 patients were included. Simple quantile regression models revealed a regression coefficient of 0.243 for DLQI (p = 0.002) and 0.252 for QoLIAD (p = 0.003). The pseudo R2 values were 0.15 for DLQI and 0.10 for QoLIAD, so DLQI had a higher correlation with EASI.

CONCLUSIONS: DLQI proved to be the best instrument to assess CV impairment in adult patients with AD.

PMID:35023698

Rev Med Inst Mex Seguro Soc. 2021 Aug 2;59(4):322-329.

ABSTRACT

BACKGROUND: In Mexico 130,000 people live with chronic kidney disease (CKD). Heart conditions are the most frequent clinical problems; 45% of the deaths of patients in replacement therapy have a cardiac origin.

OBJECTIVE: To identify the probability of presenting acute heart failure (AHF) in patients with CKD in the Adult Emergency Department (AED) of a second-level hospital.

MATERIAL AND METHODS: Case-control study with 111 cases and 103 controls. Cases were defined as patients with CKD admitted to AED for AHF compared with controls: patients with CKD who were admitted for a different diagnosis. Binary logistic regression was performed and odds ratio (OR) and 95% confidence intervals (95% CI) were determined. A value of p ˂ 0.05 was considered significant.

RESULTS: Arterial hypertension (OR 7.12, 95% CI 2.3-22.06, p = 0.01), the use of 3 or more antihypertensive drugs (OR 2.903, 95% CI 1.19-7.11, p = 0.02), the use of inhibitors of angiotensin converting enzyme (ACE inhibitors) (OR 4.25, 95% CI 1.78-10.09, p = 0.01), angiotensin II receptor blockers (ARBs) (OR 2.41, 95% CI 1.19-4.89, p = 0.014), diuretics (OR 42.87, 95% CI 9.02-203.63, p = 0.00), peritoneal dialysis (OR 2.48, 95% CI 1.25-4.81, p = 0.009) and hemodialysis (OR 0.40, 95% CI 0.20-0.79, p = 0.009) had statistical significance.

CONCLUSIONS: CKD patients with arterial hypertension, use of ACE inhibitors, ARBs, diuretics and peritoneal dialysis were more likely to present AHF, while patients who were on hemodialysis were less likely to presenting it.

PMID:35023711

Clin Lab. 2022 Jan 1;68(1). doi: 10.7754/Clin.Lab.2021.210416.

ABSTRACT

BACKGROUND: Since December 2019, there has been a global outbreak of COVID-19. As of the end of July 2020, more than 600,000 deaths had been reported globally. The purpose of this paper is to further explore the application of non-invasive ventilation in severe COVID-19 patients.

METHODS: A retrospective study was conducted to included 57 confirmed COVID-19 patients, among which 36 cases were severe. According to different oxygen inhalation methods, they were divided into non-invasive ventilator assisted ventilation group with 21 cases (group A) and 15 cases of nasal catheter oxygen inhalation group (group B). The data of respiration (RR), heart rate (HR), partial arterial pressure of oxygen (PaO2), partial arterial pressure of carbon dioxide (PaCO2), and oxygenation index (OI) before the treatment of noninvasive ventilator assisted ventilation or nasal catheter oxygen treatment at 24, 48, and 72 hours of treatment of the 2 groups were collected and analyzed to determine whether the above indicators were statistically different in each time period.

RESULTS: After 24 hours of treatment with noninvasive ventilator assisted ventilation in group A, RR gradually decreased, PaO2 and OI were significantly higher than before treatment, while after 24 hours of treatment, PaO2, RR, HR and other indexes in group B showed no significant improvement, and OI increased gradually after 48 hours of treatment, with statistically significant difference compared with that before treatment.

CONCLUSIONS: Early adoption of non-invasive ventilation can effectively improve the hypoxic state of patients with severe COVID-19. The combination of underlying diseases will not prolong the use of non-invasive ventilation.

PMID:35023696 | DOI:10.7754/Clin.Lab.2021.210416

Clin Lab. 2022 Jan 1;68(1). doi: 10.7754/Clin.Lab.2021.210429.

ABSTRACT

BACKGROUND: According to the latest data, the detection rate of echinococcus in Hoboksar Mongol Autonomous County was 3.7%. The objective of this study is to further investigate the epidemiology of echinococcosis in Ho-boksar Mongol Autonomous County of Xinjiang Uygur Autonomous Region, People’s Republic of China and provide the scientific evidence for preventive and control measures.

METHODS: We performed ultrasound examination of 521 people in Hoboksar Mongol Autonomous County of Xinjiang Autonomous Region, and collected 508 serum samples, which were analyzed with enzyme-linked immunosorbent assay. Data were analyzed by t-test and multinomial logistic regression for risk factor analysis. We collected 126 pieces of herder’s dog feces and used double antibody sandwich method to detect the positive rate of fecal antigen.

RESULTS: The prevalence rate of human echinococcosis in this region was 4.4% (23/521), including 4.0% (21/521) for cystic echinococcosis (CE), 0.38% (2/521) for alveolar echinococcosis (AE). It was found that CE seropositivity was significantly different from gender, age, ethnic group, occupation, culture, area, income and awareness of this disease. The seroprevalence rate of people aged 41 – 65 (3.74%) was higher than of age 0 – 17 (0.197%) (p > 0.05); Female serological positive (4.921%) was higher than male (1.772%) (p > 0.005); Mongolian serological positive (5%) was higher than Han (0.197%) and Kazakhs (1.181%) (p > 0.05); The herdsmen serological positive (2.756% was higher than students (0.197%) (p > 0.05); The primary school students serological positive (2.559%) was higher than children before school 0% (p > 0.05); Chagankule serological positive (9.211%) was higher than Bayinaow (8.497%) (p > 0.05); The seroprevalence rate of people with income < 2,000 (3.74%) was higher than people with income over 5,000 (0.197%) (p > 0.05); The seroprevalence rate of people who had no disease awareness (4.724%) was higher than those who had awareness of Hydatid disease (1.969%) (p < 0.05). Multivariate logistic regression show age, ethic group and awareness of station are the influence factors of epidemiology of echinococcosis. Canine fecal antigen positive rate was 50% (p > 0.05). Narenhebuke (48.78%) was higher than chahet (20.00%), but there is no statistical difference (p > 0.05).

CONCLUSIONS: The surveillance data and our study results tend to be consistent that echinococcosis has an increasing trend in Hoboksar Mongol Autonomous County. Efforts should be continued, in both animals and humans by increasing training campaigns and public awareness.

PMID:35023682 | DOI:10.7754/Clin.Lab.2021.210429