Effects Of Confounders Research Articles

Stored Energy and Recovery: A Key Factor in Post-stroke Sarcopenia Management

Introduction: This study aimed to determine the effects of Stored Energy on changes in body weight (BW) and skeletal muscle mass (SMM) in patients with post-acute stroke and sarcopenia. Methods: This retrospective cohort study included patients with stroke and sarcopenia consecutively admitted to a Japanese rehabilitation hospital between 2015 and 2022. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia in 2019 criteria. Total Stored Energy (kcal) was defined as total energy intake minus total energy requirements during hospitalization, and energy requirements were estimated as actual BW (kg) × 30 (kcal/day). Multiple regression analysis was used to adjust for the effects of confounders and to analyze the association between Total Stored Energy divided by length of hospital stay (= Stored Energy) and changes in BW and SMM during hospitalization. Results: Of the total 556 patients, 193 patients (mean age, 80 years; 43% male) were analyzed. The median (IQR) Total Stored Energy was -1544 (-18524, 16566) kcal and Stored Energy was -23 (-169, 165) kcal/day; 90 patients had Stored Energy > 0. Multiple linear regression analysis showed that Stored Energy was independently and positively associated with BW gain (β=0.412, P<0.001) and SMM gain (β=0.263, P<0.001). Conclusion: Stored Energy has a positive impact on BW and SMM in patients with post-acute stroke and sarcopenia.

Healthcare Seeking Behaviour and Associated Factor Among Community Based Health Insurance Members and Non-Members in Addis Ababa, Ethiopia, 2023

Background: Community based health insurance (CBHI) is voluntary, non-profit health insurance. It helps to mobilize additional resource to the health sector. Community Based Health Insurance uses principles of insurance, members pay fees to the insurance scheme and in return their health service cost is covered by the scheme. This way risks can be shared among individuals and financial inputs pooled between individuals who need health service but are not able because they cannot afford it and those who are well but pay premium. Objective: To assess health Care seeking behavior and Community based health insurance among members and non-members in Addis Ababa, Ethiopia 2023. Methodology: A community based comparative cross-sectional study was conducted. A total of 580 households included in this study. Data was collected by data collectors using a standardized questionnaire through interviews. Associated factors for healthcare seeking behavior is identified by binary and multivariate logistic regression analysis and expressed by adjusted odds ratio (AOR). Multivariate analysis also used to control the effect of confounders. Result: Healthcare-Seeking Behavior of the Study Participants Factors Associated with Healthcare-Seeking Behavior participants the study indicated that the decision-making to visit a health facility for illnesses, disease severity, and CBHI membership had a statistically significant association with HSB. Conclusion: The overall household Health Seeking Behavior was 56.3% for Community Based Health Insurance members and 43.7% for non-Community Based Health Insurance members. Membership status has significant positive effect on healthcare seeking behavior. Decision- making process to visit a health facility for illnesses, disease severity was positively associated with membership status.

Locus of control and the long-term effects of parental smoking on mental health

RationaleFew studies take a life course perspective to explain if exposure to second-hand smoke in childhood influences mental health in adulthood. Importantly, no study provides empirical evidence on the pathways through which exposure to second-hand smoke in childhood influences mental health in adulthood. There is also limited evidence on the factors that moderate the relationship between second-hand smoke exposure and mental health. To inform policy, it is important to explore the pathways through which second-hand smoke influences mental health and understand factors that are likely to moderate this relationship. ObjectivesThe objective of this paper is to examine if exposure to parental smoking in childhood influences mental health in adulthood. The study examines general health and smoking status in later life as potential channels and if locus of control (LoC), a personality trait developed in childhood and adolescence, moderates the relationship between exposure to parental smoking in childhood and mental health in adulthood. MethodsUsing 21 waves of longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA), the study conducts regression analyses that adjust for the potential effects of confounders and other biases. ResultsThe results show that exposure to parental smoking in childhood is associated with a decline in mental health in later life, and that general health status and smoking status in adulthood are channels through which exposure to parental smoking in childhood influences mental health in adulthood. Specifically, those who are exposed to parental smoking in childhood tend to have poorer general health and a higher probability of being smokers in adulthood, both of which negatively impact mental health. The findings point to the moderating role of LoC, such that being more internal on LoC dampens the negative effects of exposure to parental smoking on mental health. ConclusionThe findings from this study lend support to the need to address the long-term implications of behaviours that are harmful to health. The findings also suggest that LoC has implications for an individual's psychological resilience against the negative effects from exposure to parental smoking in childhood.

Autograft Choice and Jumping Performance After Anterior Cruciate Ligament Reconstruction: A Comparative Study on Professional Athletes.

The extensor apparatus of the knee is of paramount importance in generating the torque needed for a countermovement jump (CMJ), especially in jumping athletes. In anterior cruciate ligament reconstruction (ACLR) procedures, graft harvesting from the extensor apparatus may dramatically affect extensor strength and jumping performance. The focused jump training of professional jumping athletes would increase the likelihood of restoring jumping performance after ACLR, despite the graft choice (autologous bone-patellar tendon-bone [BPTB] or hamstring [HS] tendon). Cohort study; Level of evidence, 3. A retrospective evaluation of prospectively collected data was carried out. Only professional athletes were included, and all surgical procedures were performed by a single experienced surgeon. Data collection considered the type of surgery, sports activity, and functional evaluation at 3 months after surgery. From the functional evaluation, data on single-leg hop (SLH) test, triple hop (TH) test, and CMJ were extracted. Limb symmetry index (LSI) for maximal voluntary isometric contraction of the quadriceps and for each of the jumping tests was calculated. Multiple analysis of covariance (ANCOVA) models were used to assess mean differences among groups for the LSI in CMJ, SLH, and TH and estimate the effect of confounders. From a subsequent series of 208 athletes, 44 professional athletes were included for data collection. Of these, 26 were male and 18 were female. A jumping sport (basketball, volleyball) was played by 17 athletes, while a running sport (soccer, judo, rugby, tennis, ski) was performed by 27 athletes. The mean time from injury to surgery was 17.8 ± 14.5 days. At 90 days from surgery, the overall mean LSI for CMJ was 85.3% ± 8.9%, for SLH was 92.2% ± 6.4%, and for TH was 90.8% ± 6.1%. When ANCOVA was fitted using the interaction term with BPTB autograft and jumping sport, a nonsignificant effect on LSI for CMJ (P = .56), SLH (P = .72), and TH (P = .98) was observed. The results of the present investigation on professional athletes showed that no difference occurred within the study cohort in overall jumping performance between jumping and running athletes undergoing ACLR either with BPTB or with HS tendon grafts. Although some evidence suggests that quadriceps strength may be dramatically affected by the harvesting of BPTB, the overall performance of the jump was not compromised.

Association of perfluoroalkyl substances (PFAS) with liver function biomarkers in the highly exposed population of the veneto region

IntroductionEpidemiological studies highlight the presence of associations between per- and polyfluoroalkyl substances (PFAS) exposure with liver damage. In 2013, PFAS contamination was discovered in Veneto (Italy), leading to the implementation of a Surveillance Program (SP). Our objective is to investigate the association between PFAS exposure and biomarkers of liver function using single-pollutant and mixture approaches, while exploring the sex-specific differences and the mediating role of obesity in the association. MethodsThe study included 42,094 subjects aged ≥20 years participating in the SP. We used generalized additive models to investigate the association between several PFAS and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, adjusting for possible confounders and stratifying by sex. Results were back-transformed to show predicted percentage changes in outcomes per ln-unit increase in PFAS levels; furthermore, we explored the role of BMI in the abovementioned causal pathway, considering it as a potential confounder or mediator PFAS joint effect was investigated using Quantile G-computation. ResultsOne ln-unit increase in PFHxS concentrations was associated with a 1.49% (95%CI: 0.87, 2.12) and a 0.84% (95% CI: 0.27, 1.40) increase in ALT levels, in males and females respectively; one ln-unit increase in PFOA concentrations was associated with a 1.03% (95%CI: 0.50, 1.55) increase in ALT levels in males, and a 0.52% (95% CI: 0.22, 0.82) and a 0.60% (95% CI: 0.25, 0.96) increase in AST levels in females and males. PFOS showed no association with ALT and AST levels. Quantile G-computation revealed that an interquartile increase in the PFAS mixture was associated with a 3.02% increase (95% CI: 1.65, 4.43) and a 1.65% (95% CI: 0.77, 2.5) increase in ALT levels, in females and males. Mediation analysis suggested that BMI suppressed the association between PFAS and ALT levels, with positive direct effects higher than the total effects. ConclusionOur findings suggest sex-specific associations between PFAS exposure and liver function biomarkers and underscore the need for additional studies on potential mediators.

Do Subsampling Strategies Reduce the Confounding Effect of Errors in Bispectral Retrievals on Estimates of Aerosol Cloud Interactions?

AbstractBi‐spectral retrievals of droplet effective radius and cloud optical depth are widely utilized to estimate aerosol cloud interactions (ACI) in warm clouds in the marine boundary layer. Here, we assess the effect of retrieval errors due to the neglect of 3D radiative transfer during the retrieval process on this analysis of ACI. We use an ensemble of stochastically‐modeled cloud fields and 3D radiative transfer simulations to study the retrieval errors at a solar zenith angle of 30°. Simulated retrieval biases in droplet number concentration (Nd) for all three MODIS channels vary systematically from +35% to −80% as cloud heterogeneity increases. Pixel‐level errors can be much larger. Commonly utilized subsampling strategies do not reduce the systematic variation in retrieval error. Negative error correlations between optical depth and droplet effective radius produce spuriously negative slopes between the logarithm of liquid water path and Nd (−1.0 to −0.3). Pixels at the center of (8 km)2 patches that are not overcast have a relative bias in Nd of −50%. The relative frequency of these biased pixels varies linearly with the clear fraction in MODIS data and form the basis for a simple parameterization of Nd bias that varies with cloud fraction (CF). Using this parameterization, synthetic data experiments indicate that estimates of the first indirect effect in the tropical ocean can be overestimated by up to 30%, and the effect of aerosol on CF is overestimated by 50%, due to neglecting the correlation between retrieval errors and cloud microphysics.

Domestic radon exposure and childhood cancer risk by site and sex in 727 counties in the United States, 2001–2018

BackgroundChildhood cancer has few established risk factors and environmental influences are underexplored. This ecologic study investigated the association between domestic radon exposure and childhood cancer risk in a large sample of United States (U.S.) counties. MethodsMonthly ZIP code-level basement radon estimates from a geographic machine learning model were aggregated annually to counties, analyzed as continuous and dichotomized (cut point: 74 Bq/cubic meter (Bq/m3) or 2.0 picocuries/L (pCi/L)) versions, and lagged by one year. Annual county-level counts of sex- and site-specific (all, leukemia, brain and central nervous system [CNS], and other sites) incident cancer diagnoses among those 0–19 years from 2001 to 2018 were obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program database. Sex- and site-specific counts were modeled as zero-inflated Poisson distributions in a Bayesian spatiotemporal framework and sequentially adjusted for random and fixed confounder effects. ResultsIn 727 counties across 14 states, the average population aged 0–19 years was 41,599 people at baseline. Results from fully adjusted spatiotemporal statistical models indicated 1.05 (95% credible interval, CrI: 1.00, 1.09) times higher relative risks (RRs) of leukemia among both sexes and a RR of 1.06 (95%CrI: 1.00, 1.12) in males from a 50 Bq/m3 (1.35 pCi/L) increase in radon concentration the year prior. For radon exposures ≥74 Bq/m3 (2.00 pCi/L) the year prior, RRs were 1.08 (95%CrI: 1.02, 1.15) for both sexes and 1.12 (95%CrI: 1.04, 1.22) for females. No associations were found with other cancer sites or sexes from prior year radon exposures. ConclusionsCounty-level childhood leukemia risk in both sexes were associated with average radon levels below U.S. Environmental Protection Agency guidelines recommending mitigation (148 Bq/m3 or 4.00 pCi/L). These findings warrant further investigation using population-based and individual-level study designs.

Assocation between trapezium size and failure of total trapeziometacarpal prosthesis. A survival analysis.

To assess the survival function of cementless total trapezium metacarpal prostheses (TTMPs) at 20 years, to compare survival functions by trapezium size, and to evaluate the association between the instantaneous risk of TTMP failure and small trapezium size using a multivariate Cox regression model. This observational cohort study included 221 consecutive patients with a mean follow-up after TTMP of 137.3 months (maximum of 246 months). Kaplan-Meier and actuarial life-table methods were used to evaluate the survival function of thecohort. Kaplan-Meier survival curves were compared by trapezium size. Multivariate Cox regression analysis was used to determine the effect of potential confounders on the association between small trapezium and the instantaneous risk of TTMP failure. At the end of follow-up, there was a 89.01% chance of the TTMP surviving for 246 months or more. There was an association between TTMP survival time and trapezium size showing a significant trend such that the survival curves weresignificantly higher with larger trapezium size (Mantel-Cox test, p = 0.0001; WilcoxonBreslow test, p = 0.0002; Tarone-Ware test, p = 0.0001).The unadjusted Cox regression model showed a significant association between small trapezium size (smaller than 9 mm) and the instantaneous risk of TTPM failure (HR: 7.37, 95% CI: 2.46-22.07). In the multivariate Cox analysis, "age", "trapezium morphology", and "complications" were confounders in the association between small trapezium size and the hazard ratio of prosthetic failure (HR = 3.76; 95% CI 0.96 to 13.82). These results confirm the long-term functional survival of TTMP prostheses and reveal a significant increase in trend of the survival curve with larger trapezium size. Patient age, trapezium morphology, and the presence of post-surgical complications are confounders in the association between small trapezium size and the hazard ratio of TTMP failure.

Hyponatremia Is Associated with Mortality in Acute Pancreatitis Patients.

Disorders of serum sodium are common among general patients and are associated with poor outcomes. The prognostic value of serum sodium disorders in patients with acute pancreatitis (AP) has not been studied. We conducted this retrospective study to explore the association between serum sodium levels and the outcomes of patients with AP. Patients with AP from the Medical Information Mart for Intensive Care III (MIMIC-III) were screened for this study. The laboratory variables, including serum sodium levels, were obtained by analyzing the first blood sample on the first day after admission. Univariate logistic regression was performed to discover potential factors for mortality of AP. The unadjusted and adjusted association between serum sodium level and mortality of AP was shown by the restricted cubic spline (RCS). The categorical cutoff for the detrimental effect of serum sodium level on the prognosis of AP was also confirmed by stepwise logistic regression after adjusting for con-founding effects of significant factors in the univariate logistic regression. A total of 869 patients with AP in the MIMIC-III were included with a mortality of 13.1%. Unadjusted logistic regression showed that age (p < 0.001), simplified acute physiological score (SAPS) (p < 0.001), systolic blood pressure (p < 0.001), diastolic blood pressure (p < 0.001), hemoglobin (p = 0.040), serum creatinine (p = 0.046), and serum phosphorus (p < 0.001) were significantly associated with the mortality of AP. The RCS showed that the serum sodium level was negatively and linearly associated with mortality of AP after adjusting for confounding effects of significant factors in the univariate logistic regression. Serum sodium < 133mmol/L, which indicated hyponatremia, was significantly correlated with a higher mortality risk than serum sodium ≥ 133mmol/L (p = 0.013). Hyponatremia is widely developed among patients with AP and correlates with a higher mortality risk of AP. Physicians should pay more attention to managing patients with AP with hyponatremia.

Mitigating Hidden Confounding Effects for Causal Recommendation

Mitigating Hidden Confounding Effects for Causal Recommendation

Homogeneity Test of Ratios of Two Proportions in Stratified Bilateral and Unilateral Data

In paired-organ studies such as ophthalmology, otolaryngology, and rheumatology, etc., various approaches take highly correlated bilateral data into account for homogeneity tests but are less likely to focus on combined bilateral and unilateral data structures. Also, it is necessary and important to adjust the effect of confounders on stratified combined bilateral and unilateral data since, in these data structures, ignoring intra-class correlation and confounding effects can cause biased statistical inference. This article derived three homogeneity tests (the likelihood ratio test, the Wald test, and the score test) concerning these cooperative structure data to detect if ratios of proportions retain consistency across strata. Simulation shows that the score test provides a robust Type I error rate and satisfactory power performance. Finally, a real example is applied to demonstrate the application of these three proposed tests.

Causal inference and GWAS: Rubin, Pearl, and Mendelian randomization.

Although Genome Wide Analysis (GWAS) have been widely used to understand the genetic architecture of complex quantitative traits, interpreting their results in terms of the biological processes that determine those traits has been difficult or even lacking, because of the variability in responses to the tests of hypotheses within a trait, species, and breed or cross, and the lack of follow-up studies. It is then essential employing appropriate statistical tests that point out to the causal genes responsible of the relevant fraction of the genetic variability observed. We briefly review the main theoretical aspects of the two schools of causal inference (Rubin's Causal Model, RCM, and Pearl's causal inference, PCI). RCM approachs the hypothesis testing from a randomization perspective by considering a wider space of the observation, i.e. the "potential outcomes", rather than the narrower space that results from defining "treatment" effects after observing the data. Next, we discuss the assumptions involved to meet the requirements of randomization for RCM with observational data (non-designed experiments) with special emphasis on the Stable Unit Treatment Analysis (SUTVA). Due to the presence of "confounders" (i.e. systematic fixed effects, environmental permanent effects, interaction among genes, etc.), causal average treatment effects are viewed through the familiar lens of normal linear (or mixed) models. To overcome the difficulties of association analyses, a tests of causal effects is introduced using independent predicted residual breeding values from animal models of genetic evaluation that avoids the effects of population structure and confounder effects. An independent section discusses the issue of whether the additive effects defined at the "gene" level by R. A. Fisher and popularized in D. S. Falconer's textbook of quantitative genetics can be termed causal from either RCM or PCI.

Soft-Tissue Phenotype as a Risk Indicator of Peri-Implantitis and Peri-Implant Soft-Tissue Dehiscence-A Cross-Sectional Study.

To investigate the association, as well as to characterize the associated panel of pro- and anti-inflammatory markers, between the different components of the peri-implant phenotype and the presence of peri-implantitis/peri-implant soft-tissue dehiscence (PISTD). A total of 324 implants in 112 patients were included. The following components of the peri-implant phenotype were clinically measured through the use of a manual periodontal probe or a digital calliper: keratinized mucosa width (PIKM-W), mucosal thickness (MT), attached mucosa (AM) and vestibulum depth (VD). The presence of peri-implantitis and PISTD was assessed through clinical and radiographic examination. Mixed-models logistic regression analyses were performed to analyse the association between peri-implant phenotype and the presence of peri-implantitis or PISTD, adjusting for relevant confounders. Multiplex immunoassays were employed to evaluate the peri-implant crevicular fluid levels of a panel of pro- and anti-inflammatory markers. Peri-implant health, peri-implant mucositis and peri-implantitis were diagnosed in 36.6%, 21.4% and 42% of the patients (classified according to their worst implant) and 35.2%, 34.3%, and 30.5% of the implants, respectively. In the multi-level multiple regression model, the absence of PIKM-W (odds ratio [OR] = 9.24; 95% CI: 2.73-31.28), the absence of attached mucosa (OR = 19.58; 95% CI: 6.12-62.56) and a reduced (<4 mm) vestibulum depth (OR = 2.61; 95% CI: 1.05-6.48) were associated with peri-implantitis. Similarly, the absence of PIKM-W (OR = 6.32; 95% CI: 1.67-23.83), a thin (<2 mm) mucosa (OR = 157.75; 95%CI: 14.06-1769.9) and a reduced vestibulum depth (OR = 3.32; 95% CI: 1.02-10.84) were associated with the presence of PISTD. Implants with PIKM-W = 0 mm showed statistically significantly higher levels of interferon-γ in both regular (≥2 maintenance/year) and irregular (<2 maintenance/year) compliers (p = 0.046 and p = 0.012). In irregular compliers, the absence of PIKM-W was also associated with statistically significantly higher levels of interleukin (IL)-1β and IL-21 (p = 0.016, p = 0.046). These associations were independent of the effect of relevant confounders (e.g., plaque, compliance with maintenance, etc.). Within their limits, the present findings indicate that (a) peri-implant soft-tissue phenotype appears to be associated with the presence of peri-implantitis and PISTD, and (b) in the absence of PIKM-W, the inflammatory response seems to be dysregulated and the soft-tissue remodelling up-regulated.

Deconfounding User Preference in Recommendation Systems through Implicit and Explicit Feedback

Recommender systems are influenced by many confounding factors (i.e., confounders) which result in various biases (e.g., popularity biases) and inaccurate user preference. Existing approaches try to eliminate these biases by inference with causal graphs. However, they assume all confounding factors can be observed and no hidden confounders exist. We argue that many confounding factors (e.g., season) may not be observable from user–item interaction data, resulting inaccurate user preference. In this article, we propose a deconfounded recommender considering unobservable confounders. Specifically, we propose a new causal graph with explicit and implicit feedback, which can better model user preference. Then, we realize a deconfounded estimator by the front-door adjustment, which is able to eliminate the effect of unobserved confounders. Finally, we conduct a series of experiments on two real-world datasets, and the results show that our approach performs better than other counterparts in terms of recommendation accuracy.

A Tele-detection and referral pAthways model for early childhood cariEs control- a protocol for a randomized factorial study: the TRACE study

BackgroundEarly childhood caries (ECC) is one of the most common childhood diseases affecting the primary teeth of children younger than 6 years of age. ECC progression can be reversed in the early stages although these lesions often go undetected. New approaches are needed to detect oral diseases at an early stage when they can be better controlled. The aim of the study is to assess the effectiveness of ECC tele-detection methods combined with referral pathways with and without user fee removal in controlling ECC.MethodsA randomized factorial trial will be used to compare two tele-dentistry detection methods for ECC (intraoral camera and smartphone camera) and two referral pathways (user fee removal versus conventional care). The study will recruit children younger than 6 years of age in marginalized communities in Alexandria, Egypt. The primary outcome is the percentage of teeth receiving indicated care, while the secondary outcomes are the oral health-related quality of life, acceptance of teledentistry by dentists, procedure time, and child cooperation. Two-way analysis of variance will be used to assess the effect of the two factors as between group variables on the outcomes after 6 and 12 months. The interaction between detection methods and referral pathways will also be assessed, and the effect of confounders will be controlled in a multivariable linear regression model.DiscussionThe findings of this study have the potential to inform clinical practice and oral healthcare policies for ECC management. Successful tele-detection and referral pathways could be integrated into oral healthcare systems, leading to improved oral health outcomes for children.Trial registrationThe trial has been registered on ClinicalTrials.gov in August 2023 (initial release) ID: NCT06019884.

Maternal prenatal systemic inflammation indexes predicts premature neonatal respiratory distress syndrome

Neonatal respiratory distress syndrome (NRDS) is one of the leading causes of neonatal mortality in low-income countries. It is caused by a lack of surface-active substances in the lungs, and the maternal inflammatory response plays an important role in the formation of surface-active substances in the fetal lungs. We aimed to investigate the correlation between maternal prenatal systemic inflammatory indices and respiratory distress syndrome in preterm neonates. This is a retrospective case–control study that collected data from all patients who delivered between 28 and 36 weeks of gestation at Longhua District People's Hospital in Shenzhen City and whose infants were admitted to the neonatal unit, newborns with respiratory distress syndrome were in the experimental group (NRDS group), and newborns without NRDS were in the control group (non-NRDS group). To minimize the effect of confounders on the results, propensity score matching was performed on baseline characteristics. Totally, 524 patients were included (93 in the NRDS group and 431 in the non-NRDS group), and 71 matched pairs (142 patients). The neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and neutrophil lymphocyte to platelet ratio (NLPR) were higher in the NRDS group than in the non-NRDS group (p < 0.05). The ROC curves of NLR, dNLR, SII, SIRI, AISI and NLPR for the diagnosis of NRDS were plotted, and it was found that the combined diagnostic efficacy of these six systemic inflammatory markers was better (AUC: 0.643, P = 0.003). Patients were divided into two groups based on the cut-off values determined from the ROC curves, and analysis using binary regression models revealed that SII ≥ 1199.94 (OR, 2.554; 95% CI 1.245–5.239, P = 0.011) and NLPR ≥ 0.0239 (OR, 2.175; 95% CI 1.061–4.459, P = 0.034) were independent risk factors predicting NRDS. Maternal prenatal SII ≥ 1199.94 and NLPR ≥ 0.0239 are independent risk factors for NRDS, and clinicians may be used to prevent neonatal respiratory distress in advance to reduce the incidence of NRDS.

Impact of Long-Term Non-Communicable Diseases on SARS-COV-2 Hospitalized Patients Supported by Radiological Imaging in Southern Pakistan.

COVID-19 patients with already existing chronic medical conditions are more likely to develop severe complications and, ultimately, a higher risk of mortality. This study analyzes the impacts of pre-existing chronic illnesses such as diabetes (DM), hypertension, and cardiovascular diseases (CVDs) on COVID-19 cases by using radiological chest imaging. The data of laboratory-confirmed COVID-19-infected hospitalized patients were analyzed from March 2020 to December 2020. Chest X-ray images were included to further identify the differences in X-ray patterns of patients with co-morbid conditions and without any co-morbidity. The Pearson chi-square test checks the significance of the association between co-morbidities and mortality. The magnitude and dimension of the association were calibrated by the odds ratio (OR) at a 95% confidence interval (95% CI) over the patients' status (mortality and discharged cases). A univariate binary logistic regression model was applied to examine the impact of co-morbidities on death cases independently. A multivariate binary logistic regression model was applied for the adjusted effects of possible confounders. For the sensitivity analysis of the model, receiver operating characteristic (ROC) was applied. Patients with different comorbidities, including diabetes (OR = 33.4, 95% CI: 20.31-54.78, p < 0.001), cardiovascular conditions (OR = 24.14, 95% CI: 10.18-57.73, p < 0.001), and hypertension (OR = 16.9, 95% CI: 10.20-27.33,p < 0.001), showed strong and significant associations. The opacities present in various zones of the lungs clearly show that COVID-19 patients with chronic illnesses such as diabetes, hypertension, cardiovascular disease, and obesity experience significantly worse outcomes, as evidenced by chest X-rays showing increased pneumonia and deterioration. Therefore, stringent precautions and a global public health campaign are crucial to reducing mortality in these high-risk groups.

Peripheral biomarkers to differentiate bipolar depression from major depressive disorder: a real-world retrospective study

BackgroundBipolar depression (BPD) is often misdiagnosed as a major depressive disorder (MDD) in clinical practice, which may be attributed to a lack of robust biomarkers indicative of differentiated diagnosis. This study analysed the differences in various hormones and inflammatory markers to explore peripheral biomarkers that differentiate BPD from MDD patients.MethodsA total of 2,048 BPD and MDD patients were included. A panel of blood tests was performed to determine the levels of sex hormones, stress hormones, and immune-related indicators. Propensity score matching (PSM) was used to control for the effect of potential confounders between two groups and further a receiver operating characteristic (ROC) curve was used to analyse the potential biomarkers for differentiating BPD from MDD.ResultsCompared to patients with MDD, patients with BPD expressed a longer duration of illness, more hospitalisations within five years, and an earlier age of onset, along with fewer comorbid psychotic symptoms. In terms of biochemical parameters, MDD patients presented higher IgA and IgM levels, while BPD patients featured more elevated neutrophil and monocyte counts. ROC analysis suggested that combined biological indicators and clinical features could moderately distinguish between BPD and MDD. In addition, different biological features exist in BPD and MDD patients of different ages and sexes.ConclusionsDifferential peripheral biological parameters were observed between BPD and MDD, which may be age-sex specific, and a combined diagnostic model that integrates clinical characteristics and biochemical indicators has a moderate accuracy in distinguishing BPD from MDD.

Multiplex plasma protein assays as a diagnostic tool for lung cancer.

Lack of the established noninvasive diagnostic biomarkers causes delay in diagnosis of lung cancer (LC). The aim of this study was to explore the association between inflammatory and cancer-associated plasma proteins and LC and thereby discover potential biomarkers. Patients referred for suspected LC and later diagnosed with primary LC, other cancers, or no cancer (NC) were included in this study. Demographic information and plasma samples were collected, and diagnostic information was later retrieved from medical records. Relative quantification of 92 plasma proteins was carried out using the Olink Immuno-Onc-I panel. Association between expression levels of panel of proteins with different diagnoses was assessed using generalized linear model (GLM) with the binomial family and a logit-link function, considering confounder effects of age, gender, smoking, and pulmonary diseases. The analysis showed that the combination of five plasma proteins (CD83, GZMA, GZMB, CD8A, and MMP12) has higher diagnostic performance for primary LC in both early and advanced stages compared with NC. This panel demonstrated lower diagnostic performance for other cancer types. Moreover, inclusion of four proteins (GAL9, PDCD1, CD4, and HO1) to the aforementioned panel significantly increased the diagnostic performance for primary LC in advanced stage as well as for other cancers. Consequently, the collective expression profiles of select plasma proteins, especially when analyzed in conjunction, might have the potential to distinguish individuals with LC from NC. This suggests their utility as predictive biomarkers for identification of LC patients. The synergistic application of these proteins as biomarkers could pave the way for the development of diagnostic tools for early-stage LC detection.

The predictive role of lung clearance index on FEV1 decline in cystic fibrosis.

The lung clearance index (LCI) is a sensitive lung function index that is used to detect early lung disease changes in children with cystic fibrosis (CF). This study aimed to define the predictive role of baseline LCI, along with other potential factors on the change in forced expiratory volume in one second (FEV1) during one-year follow-up in CF patients who had a percent predicted (pp) FEV1≥80. LCI was concurrently performed on 57 CF patients who had ppFEV1 ≥80 at month zero. The ppFEV1 decline was evaluated prospectively during the one year follow up. The primary outcome of ppFEV1 decline in the study group in one year was dichotomized according to the median value for the decline in ppFEV1, which was 3.7. The LCI value predicting ppFEV1 decline at the end of one year was calculated with receiver operating characteristic curve analysis. Regression analysis was performed. Furthermore, a decision tree was constructed using classification and regression tree methods to better define the potential effect of confounders on the ppFEV1 decline. The LCI value for predicting ppFEV1 decline >3.7% at the end of one year was 8.2 (area under the curve: 0.80) Multivariable regression analysis showed that the absence of the F508del mutation in at least one allele, LCI >8.2 and initial FEV1 z-score were predictors of a ppFEV1 decline >3.7 (p<0.001). Factors altering ppFEV1 decline>3.7% at the end of one-year evaluated by decision trees were as follows: initial FEV1 z-score, type of CFTR mutation, LCI value and initial weight-for-age z-score. LCI is sensitive for predicting ppFEV1 decline in patients with ppFEV1 ≥80 along with the initial FEV1-z-score and type of CFTR mutation.