Tag: statistics

BMC Pregnancy Childbirth. 2021 Nov 10;21(1):759. doi: 10.1186/s12884-021-04223-4.

ABSTRACT

BACKGROUND: Congenital Heart Defects (CHD) is the most commonly occurring congenital anomaly in Europe and a major paediatric health care concern. Investigations are needed to enable identification of CHD risk factors as studies have given conflicting results. This study aim was to identify maternal sociodemographic characteristics, behaviours, and birth outcomes as risk factors for CHD. This was a population based, data linkage cohort study using anonymised data from Northern Ireland (NI) covering the period 2010-2014. The study cohort composed of 94,067 live births with an outcome of 1162 cases of CHD using the International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes and based on the European Surveillance of Congenital Anomalies (EUROCAT) grouping system for CHD. CHD cases were obtained from the HeartSuite database (HSD) at the Royal Belfast Hospital for Sick Children (RBHSC), maternal data were extracted from the Northern Ireland Maternity System (NIMATS), and medication data were extracted from the Enhanced Prescribing Database (EPD). STATA version 14 was used for the statistical analysis in this study, Odds Ratio (OR), 95% Confident intervals (CI), P value, and logistic regression were used in the analysis. Ethical approval was granted from the National Health Service (NHS) Research Ethics Committee.

RESULT: In this study, a number of potential risk factors were assessed for statistically significant association with CHD, however only certain risk factors demonstrated a statistically significant association with CHD which included: gestational age at first booking (AOR = 1.21; 95% CI = 1.04-1.41; P < 0.05), family history of CHD or congenital abnormalities and syndromes (AOR = 4.14; 95% CI = 2.47-6.96; P < 0.05), woman’s smoking in pregnancy (AOR = 1.22; 95% CI = 1.04-1.43; P < 0.05), preterm birth (AOR = 3.01; 95% CI = 2.44-3.01; P < 0.05), multiple births (AOR = 1.89; 95% CI = 1.58-2.60; P < 0.05), history of abortion (AOR = 1.12; 95% CI = 1.03-1.28; P < 0.05), small for gestational age (SGA) (AOR = 1.44; 95% CI = 1.22-1.78; P < 0.05), and low birth weight (LBW) (AOR = 3.10; 95% CI = 2.22-3.55; P < 0.05). Prescriptions and redemptions of antidiabetic (AOR = 2.68; 95% CI = 1.85-3.98; P < 0.05), antiepileptic (AOR = 1.77; 95% CI = 1.10-2.81; P < 0.05), and dihydrofolate reductase inhibitors (DHFRI) (AOR = 2.13; 95% CI = 1.17-5.85; P < 0.05) in early pregnancy also showed evidence of statistically significant association with CHD.

CONCLUSION: The results of this study suggested that there are certain maternal sociodemographic characteristics, behaviours and birth outcomes that are statistically significantly associated with higher risk of CHD. Appropriate prevention policy to target groups with higher risk for CHD may help to reduce CHD prevalence. These results are important for policy makers, obstetricians, cardiologists, paediatricians, midwives and the public.

PMID:34758755 | DOI:10.1186/s12884-021-04223-4

BMC Psychiatry. 2021 Nov 10;21(1):557. doi: 10.1186/s12888-021-03557-9.

ABSTRACT

BACKGROUND: Trans women have been shown to experience disproportionately poor outcomes in physical and mental health. Although it is common to talk about the violence against trans people, little is still known about mental health outcomes and experiences of suicidality among trans women, particularly in developing countries. This study aims to investigate risk factors and associations with mental health, suicide ideation and suicide attempts among trans women in the largest metropolitan area in Brazil.

METHODS: Trans women living in São Paulo were recruited between May 2017 and July 2019 using the long-chain peer referral method Respondent-Driven Sampling. Multivariate regression models were used to investigate the associations with K10 score classification (logistic) and suicidal ideation/suicide attempt (ordinal logistic).

RESULTS: A total of 763 trans women were included in the study. Over one quarter (26.5%) of trans women had been diagnosed with anxiety in the past, and close to one in five (19.1%) trans women had received a diagnosis of depression. More than two in five (41.9%) trans women had moderate to severe psychological distress. More than half of all participating trans women reported having previously either experienced suicidal ideation or attempted to take their own lives (25.0 and 31.2% respectively). In multivariate regression, moderate to severe psychological distress was associated with homelessness, income, current sex work, use of stimulant drugs, history of physical abuse, depression diagnosis and access to mental health treatment. Suicidal ideation and suicide attempts were associated with race/skin color, living arrangements, marital status, current sex work, history of sexual violence, depression and PTSD diagnoses, access to mental health treatment and psychological distress.

CONCLUSIONS: This study showed that there is a significant association between mental health conditions, lack of treatment for these conditions and suicidality among trans gender women. Findings point to the need for a structural transformation in Brazil that enables a reduction in the social inequality and violence that impact the mental health of trans women. A number of recommendations to achieve this are provided.

PMID:34758758 | DOI:10.1186/s12888-021-03557-9

BMC Bioinformatics. 2021 Nov 10;22(1):549. doi: 10.1186/s12859-021-04468-y.

ABSTRACT

BACKGROUND: Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be addressed.

RESULTS: In this study, by using an up-to-date dataset, a machine learning model has been trained successfully to predict the toxicity of antimicrobial peptides. The comprehensive set of features of both physico-chemical and linguistic-based with local and global essences have undergone feature selection to identify key properties behind toxicity of antimicrobial peptides. After feature selection, the hybrid model showed the best performance with a recall of 0. 876 and a F1 score of 0. 849.

CONCLUSIONS: The obtained model can be useful in extracting AMPs with low toxicity from AMP libraries in clinical applications. On the other hand, several properties with local nature including positions of strand forming and hydrophobic residues in final selected features show that these properties are critical definer of peptide properties and should be considered in developing models for activity prediction of peptides. The executable code is available at https://git.io/JRZaT .

PMID:34758751 | DOI:10.1186/s12859-021-04468-y

Curr Neurovasc Res. 2021 Nov 9. doi: 10.2174/1567202618666211110112602. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine whether the administration of intravenous alteplase would be beneficial or futile to patients with acute ischemic stroke caused by large vessel occlusion (LVO) before endovascular treatment (EVT), we conducted this study to determine the relationship between Hounsfield units (HU) in non-contrast computed tomography (NCCT) and recanalization by alteplase.

METHODS: We performed a retrospective analysis of patients with acute ischemic stroke caused by LVO received intravenous thrombolysis (IVT) or followed by EVT at our center during November 2016 and October 2020. The clinical characteristics and imaging features of patients who achieved recanalization after IVT, and those who did not, were compared.

RESULTS: Forty-three eligible patients were enrolled; 12 achieved recanalization by IVT. Baseline clinical characteristics did not differ between patients of the recanalization and non-recanalization groups. HU in the NCCT were estimated and statistically significant maximum and mean values of the ipsilateral middle cerebral artery (MCA) were found between the groups (P< 0.05). The results hint that patients in the non-recanalization group have a higher rHU and δHU value of the ipsilateral MCA compared with recanalization group (P< 0.05). With regards the receiver operator characteristic (ROC) curve, we demonstrated that a high HU value of the ipsilateral MCA could be a predictor for non-recanalization by IVT.

CONCLUSION: Patients suffering LVO stroke are less likely to obtain recanalization by IVT with a high HU value of the ipsilateral MCA. It is feasible to screen patients with LVO using HU for direct EVT.

PMID:34758715 | DOI:10.2174/1567202618666211110112602

BMC Bioinformatics. 2021 Nov 10;22(1):546. doi: 10.1186/s12859-021-04465-1.

ABSTRACT

BACKGROUND: Host population structure is a key determinant of pathogen and infectious disease transmission patterns. Pathogen phylogenetic trees are useful tools to reveal the population structure underlying an epidemic. Determining whether a population is structured or not is useful in informing the type of phylogenetic methods to be used in a given study. We employ tree statistics derived from phylogenetic trees and machine learning classification techniques to reveal an underlying population structure.

RESULTS: In this paper, we simulate phylogenetic trees from both structured and non-structured host populations. We compute eight statistics for the simulated trees, which are: the number of cherries; Sackin, Colless and total cophenetic indices; ladder length; maximum depth; maximum width, and width-to-depth ratio. Based on the estimated tree statistics, we classify the simulated trees as from either a non-structured or a structured population using the decision tree (DT), K-nearest neighbor (KNN) and support vector machine (SVM). We incorporate the basic reproductive number ([Formula: see text]) in our tree simulation procedure. Sensitivity analysis is done to investigate whether the classifiers are robust to different choice of model parameters and to size of trees. Cross-validated results for area under the curve (AUC) for receiver operating characteristic (ROC) curves yield mean values of over 0.9 for most of the classification models.

CONCLUSIONS: Our classification procedure distinguishes well between trees from structured and non-structured populations using the classifiers, the two-sample Kolmogorov-Smirnov, Cucconi and Podgor-Gastwirth tests and the box plots. SVM models were more robust to changes in model parameters and tree size compared to KNN and DT classifiers. Our classification procedure was applied to real -world data and the structured population was revealed with high accuracy of [Formula: see text] using SVM-polynomial classifier.

PMID:34758743 | DOI:10.1186/s12859-021-04465-1

Int J Dent Hyg. 2021 Nov 10. doi: 10.1111/idh.12562. Online ahead of print.

ABSTRACT

INTRODUCTION: The Supplemental Nutrition Assistance Program (SNAP) is a federal program aims to alleviate hunger and improve food insecurity. The impact of SNAP participation on overall health has been studied. However, little is known about the effects of SNAP participation on oral health. We aimed to investigate the association between participating in SNAP and dental caries and to explore the role of food insecurity as a moderator in this relationship.

METHODS: We obtained data from the National Health and Nutrition Examination Survey (NHANES) cycles 2011-2012 and 2013-2014.The primary outcome was untreated dental caries (none vs. one or more). Self-reported SNAP participation status in the past 12 months was the predictor and food security was the moderator. Food security was measured as overall food security status (full food secure/ food insecure) and household-level food security (full, marginal, low, and very low). Bivariate and multiple logistic regression analyses were conducted to evaluate the relationship between SNAP and dental caries, and whether food insecurity moderates this relationship. Statistical analysis was carried out in September 2020.

RESULTS: Our results suggested that after adjusting for potential confounders, SNAP participants were more likely to have untreated dental caries than non-SNAP participants (odds ratio:1.6; 95% CI:1.2-2.0). Food security status didn’t alter the relationship between SNAP participation and untreated dental caries.

CONCLUSIONS: Food security status didn’t alter the relationship between SNAP participation and untreated dental caries. SNAP participation was associated with untreated dental caries among U.S. adults, and this was not affected by their food security status.

PMID:34758187 | DOI:10.1111/idh.12562

Diabet Med. 2021 Nov 10:e14739. doi: 10.1111/dme.14739. Online ahead of print.

ABSTRACT

OBJECTIVE: Prior to the Continuous Monitoring and Control of Hypoglycaemia (COACH) study described herein, no study had been powered to evaluate the impact of non-adjunctive RT-CGM use on the rate of debilitating moderate or severe hypoglycaemic events.

RESEARCH DESIGN AND METHODS: In this 12-month observational study, adults with insulin-requiring diabetes who were new to RT-CGM participated in a 6-month control phase where insulin dosing decisions were based on self-monitored blood glucose (SMBG) values, followed by a 6-month phase where decisions were based on RT-CGM data (i.e., non-adjunctive RT-CGM use); recommendations for RT-CGM use were made according to sites’ usual care. The primary outcome was change in debilitating moderate (requiring second-party assistance) and severe (resulting in seizures or loss of consciousness) hypoglycaemic event frequency. Secondary outcomes included changes in HbA1c and diabetic ketoacidosis (DKA) frequency.

RESULTS: A total of 519 participants with mean (SD) age 50.3 (16.1) years and baseline HbA1c 8.0% (1.4%) completed the study, of whom 32.8% had impaired hypoglycaemia awareness and 33.5% had type 2 diabetes (T2D). The mean (SE) per-patient frequency of hypoglycaemic events decreased by 63% from 0.08 (0.016) during the SMBG phase to 0.03 (0.010) during the RT-CGM phase (p=0.005). HbA1c decreased during the RT-CGM phase both for participants with type 1 diabetes (T1D) and T2D and there was a trend toward larger reductions among individuals with higher baseline HbA1c.

CONCLUSIONS: Among adults with insulin-requiring diabetes, non-adjunctive use of RT-CGM data is safe, resulting in significantly fewer debilitating hypoglycaemic events than management using SMBG.

PMID:34758142 | DOI:10.1111/dme.14739

Mol Carcinog. 2021 Nov 10. doi: 10.1002/mc.23366. Online ahead of print.

ABSTRACT

To search for colorectal cancer (CRC) risk loci, Swedish samples were used for a genome-wide haplotype analysis. A logistic regression model was employed in 2663 CRC cases and 1642 controls in the discovery analysis. Three analyses were done, on all, familial-, and nonfamilial CRC samples and only results with odds ratio (OR) > 1 were analyzed. single nucleotide polymorphism (SNP) analysis did not generate any statistically significant results. Haplotype analysis suggested novel loci, on chromosome 2q36.1 (OR = 1.71, p value = 5.6924 × 10^-8 ) in all CRC samples, chromosome 1q43 (OR = 4.04 p value = 3.24 × 10^-8 ) in familial CRC samples, and two hits in nonfamilial CRC samples, chromosomes 2q36.1 (OR = 1.71 p value = 5.69 × 10^-8 ) and 3p24.3 (OR = 1.62 p value = 6.21 × 10^-9 ). Moreover, one locus on chromosome 20q13.33 was suggested in analyses of all samples, and five more novel loci were suggested on chromosomes 10q25.3, 15q,22.31, 17p11.2, 1p34.2, and 3q24. The haplotypes from the analysis of all samples were replicated in a second study of CRC cases and controls from the same part of Sweden. In summary, using haplotype analysis in Swedish CRC samples, the best hits were novel loci and the locus on chromosomes 2q36.1 and 20q13.33 suggested in the analysis of all samples were confirmed in a second cohort. The ORs were often higher than ORs from published genome-wide association study (GWAS). The study suggested it was possible that a risk locus could involve more than one gene, and that haplotypes could give information on the gene or genes possibly involved in the risk at specific locus.

PMID:34758156 | DOI:10.1002/mc.23366

Br J Dermatol. 2021 Nov 10. doi: 10.1111/bjd.20882. Online ahead of print.

ABSTRACT

BACKGROUND: Acne vulgaris is widespread across the world. Mapping the latest magnitudes and temporal trends of acne vulgaris provides the essential foundation for targeted public policies at the national, regional, and global levels.

METHODS: Complying with the framework of the Global Burden of Disease 2019 Study, the incidence, prevalence and disability-adjusted life years (DALYs) on acne vulgaris were retrieved in 204 countries and regions from 1990 to 2019. The average annual percentage change was calculated to depict the temporal trends in age-standardized rates (ASRs) of acne vulgaris burden by region, sex, and age.

RESULTS: Globally, 117.4 [95% uncertainty interval (UI): 103.0, 133.7] million incident cases of acne vulgaris, 231.2 million (95% UI: 208.2, 255.5) prevalent cases and 5.0 (95% UI: 3.0, 7.9) million DALYs were estimated in 2019, with about 47% increase compared with 1990. Moreover, the overall ASRs of acne vulgaris increased by around 0.55% annually over the past three decades. We observed huge disparities in ASRs of acne vulgaris with its changing trends in sex, location, and age. The ASR of acne vulgaris among women was around 1.3 times that of men, but the gender difference was narrowed for the pronounced increase among men. The ASRs of acne vulgaris were higher in high-income regions, but the increasing trend was more pronounced in other regions.

CONCLUSION: The burden rate of acne vulgaris continues to increase in almost all countries. Understanding the specific characteristics of acne vulgaris burden is essential to formulate more effective and targeted interventions for controlling acne burden.

PMID:34758111 | DOI:10.1111/bjd.20882

Acta Psychiatr Scand. 2021 Nov 10. doi: 10.1111/acps.13384. Online ahead of print.

ABSTRACT

OBJECTIVE: Longitudinal studies examining the association between adolescent cannabis use and self-harm are rare, heterogenous and mixed in their conclusions. We study this association utilizing a large general population-based sample with prospective data.

METHODS: The Northern Finland Birth Cohort 1986 (n= 6582) with linkage to nationwide register data was used to study the association of self-reported cannabis use at age 15-16 years and self-harm and suicide death until age 33 (until year 2018), based on register information. Cox-regression analysis with Hazard Ratios (HR) and 95% confidence intervals (CI) was used. Psychiatric disorders, parental psychiatric disorders and other substance use were considered as confounders.

RESULTS: In all, 6582 (49.2 % male) were included in the analysis, and 377 adolescents (5.7%) reported any cannabis use until the age of 15-16 years. Based on register information, 79 (55.7 % male) had visited in health care services due to self-harm, and 22 (90.1 % male) had died by suicide. In crude analyses, adolescent cannabis use was associated with self-harm (HR =3.93; 95 % CI 2.24-6.90). The association between cannabis use and self-harm remained statistically significant after adjusting for sex, psychiatric disorders at baseline, frequent alcohol intoxications, other illicit drug use, and parental psychiatric disorders (HR 2.06; 95 % CI 1.07-3.95). In contrast, the association of cannabis use with suicide did not reach statistical significance even in crude analysis (HR 2.60; 95 % CI 0.77-8.78) CONCLUSION: Cannabis use in adolescence may increase risk of self-harm independent of psychopathology and other substance use.

PMID:34758110 | DOI:10.1111/acps.13384