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Nevin Manimala Statistics

Higher serum nerve growth factor levels are associated with major depressive disorder pathophysiology: a case-control study

J Int Med Res. 2023 Apr;51(4):3000605231166222. doi: 10.1177/03000605231166222.

ABSTRACT

OBJECTIVE: There is a lack of established biological, psychological, social, and digital markers for the prediction, identification, and stratification of patients with major depressive disorder (MDD). We therefore aimed to evaluate serum nerve growth factor (NGF) in MDD patients.

METHODS: In this case-control study, we recruited MDD patients and age- and sex-matched healthy controls (HCs). A qualified psychiatrist evaluated study participants according to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition. Serum NGF levels were analyzed using a commercially available enzyme-linked immunosorbent assay kit.

RESULTS: We analyzed data from 106 MDD patients and 88 HCs. Mean serum NGF concentrations were significantly higher in MDD patients (104.70 ± 6.43 pg/mL) than in HCs (72.09 ± 7.69 pg/mL). Receiver operating characteristic curve analysis revealed the good diagnostic performance of serum NGF in MDD.

CONCLUSIONS: Higher serum NGF levels might be involved in MDD pathophysiology, and altered NGF levels may be an early warning sign of depression. The present findings will aid in the development of new and improved therapies for depressive patients. Further interventional studies are recommended to explore the underlying mechanisms, risk factors, disease course, and treatment responses of NGF in MDD.

PMID:37038918 | DOI:10.1177/03000605231166222

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Nevin Manimala Statistics

Real-Time Intubation and Ventilation Feedback: A Randomized Controlled Simulation Study

Pediatrics. 2023 Apr 11:e2022059839. doi: 10.1542/peds.2022-059839. Online ahead of print.

ABSTRACT

BACKGROUNDS: This study aimed to determine the best educational application of a respiratory function monitor and a video laryngoscope.

METHODS: This study was a randomized controlled simulation-based trial, including 167 medical students. Participants had to execute ventilation and intubation maneuvers on a newborn manikin. Participants were randomized into 3 groups. In group A (no-access), the feedback devices were not visible but recording. In group B (supervisor-access), the feedback devices were visible to the supervisor only. In group C (full-access), both the participant and the supervisor had visual access.

RESULTS: The two main outcome variables were the percentage of ventilations within the tidal volume target range (4-8mL/kg) and the number of intubation attempts. Group C achieved the highest percentage of ventilations within the tidal volume target range (full-access 63.6%, supervisor-access 51.0%, no-access 31.1%, P < .001) and the lowest mask leakage (full-access 34.9%, supervisor-access 46.6%, no-access 61.6%; A to B: P < .001, A to C: P < .001, B to C: P = .003). Overall, group C achieved superior ventilation quality regarding primary and secondary outcome measures. The number of intubation attempts until success was lowest in the full-access group (full-access: 1.29, supervisor-access: 1.77, no-access: 2.43; A to B: P = .001, A to C: P < .001, B to C: P = .015).

CONCLUSIONS: Our findings confirm that direct visual access to feedback devices for supervisor and trainees alike considerably benefits outcomes and can contribute to the future of clinical education.

PMID:37038898 | DOI:10.1542/peds.2022-059839

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Nevin Manimala Statistics

Prediction of postoperative lung function in lung cancer patients using machine learning models

Tuberc Respir Dis (Seoul). 2023 Apr 11. doi: 10.4046/trd.2022.0048. Online ahead of print.

ABSTRACT

BACKGROUND: : Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models.

METHODS: We extracted data from the Clinical Data Warehouse (CDW) and developed 3 sets: set Ⅰ, the linear regression model; set Ⅱ, machine learning models omitting the missing data: and set Ⅲ, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in one second (FEV1) measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set Ⅲ. Predictive performance was evaluated by R2 and mean squared error (MSE) in the 3 sets.

RESULTS: A total of 1,487 patients were included in sets Ⅰ and Ⅲ and 896 patients were included in set Ⅱ. In set Ⅰ, the R2 value was 0.27 and in set Ⅱ, LightGBM was the best model with the highest R2 value of 0.5 and the lowest MSE of 154.95. In set Ⅲ, LightGBM was the best model with the highest R2 value of 0.56 and the lowest MSE of 174.07.

CONCLUSION: The LightGBM model showed the best performance in predicting postoperative lung function.

PMID:37038881 | DOI:10.4046/trd.2022.0048

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Nevin Manimala Statistics

Relation of Left Ventricular Diastolic Function to Global Fibrosis Burden: Implications for Heart Failure Risk Stratification

JACC Cardiovasc Imaging. 2023 Feb 7:S1936-878X(23)00032-3. doi: 10.1016/j.jcmg.2022.12.027. Online ahead of print.

ABSTRACT

BACKGROUND: Left ventricular (LV) diastolic function is primarily assessed by means of echocardiography, which has limited utility in detecting fibrosis. Cardiac magnetic resonance (CMR) readily detects and quantifies fibrosis.

OBJECTIVES: In this study, the authors sought to determine the association of LV diastolic function by to echocardiography with CMR-determined global fibrosis burden and the incremental value of fibrosis with diastolic function grade in prediction of total mortality and heart failure hospitalizations.

METHODS: A total of 549 patients underwent comprehensive echocardiography and CMR within 30 days. Echocardiography was used to assess LV diastolic function, and CMR was used to determine LV volumes, mass, ejection fraction, replacement fibrosis, and percentage extracellular volume fraction (ECV).

RESULTS: Normal diastolic function was present in 142 patients; the rest had diastolic dysfunction grades I to III, except for 18 (3.3%) with indeterminate results. The event rate was higher in patients with diastolic dysfunction compared with patients with normal diastolic function (33.4% vs 15.5; P < 0.001). The model including LV diastolic function grades II and III predicted composite outcome (C-statistic: 0.71; 95% CI: 0.67-0.76), which increased by adding global fibrosis burden (C-statistic: 0.74, 95% CI: 0.70-0.78; P = 0.02). For heart failure hospitalizations, the competing risk model with LV diastolic function grades II and III was good (C-statistic: 0.78; 95% CI: 0.74-0.83) and increased significantly with the addition of global fibrosis burden (C-statistic: 0.80; 95% CI: 0.76-0.85; P = 0.03).

CONCLUSIONS: Higher grades of diastolic dysfunction are seen in patients with replacement fibrosis and increased ECV. Fibrosis burden as determined with the use of CMR provides incremental prognostic information to echocardiographic evaluation of LV diastolic function.

PMID:37038874 | DOI:10.1016/j.jcmg.2022.12.027

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Bottle-feeding and gastroesophageal reflux disease improvement after restrictive tethered oral tissues release

Eur J Paediatr Dent. 2023 Mar 28. doi: 10.23804/ejpd.2023.1817. Online ahead of print.

ABSTRACT

AIM: This study aimed to determine the impact of laser surgical tongue-tie, lip-tie, buccal-tie release on bottle-feeding and gastroesophageal reflux disease (GERD) after functional assessment of tongue and lip movement in a prospective cohort study conducted from June 2019 to June 2020 in a private general dental practice.

METHODS: Preoperative, one-week and one-month postoperative surveys were completed, using the Revised Infant Gastroesophageal Reflux Questionnaire (I-GERQ-R). All study participants were bottle-feeding dyads (0-12 weeks of age) with untreated ankyloglossia and/or tethered maxillary/buccal frena.

RESULTS: The study had 40 bottle feeding infants enrolled. Posterior :tongue-tie was noted in 67.5% of this cohort. Statistically significant improvement in I-GERQ-R scores was reported between preoperative (16.6, SD: 6.1; min-max: 8-28), 1 week (14.1, SD: 4.2; min-max: 6-24) and 1 month I-GERQ-R total scores (9.1, SD: 4.5; min-max:3-27) (ANOVA test – P <.001).

CONCLUSION: This study confirms the need for functional assessment of tongue and lip movement for this significantly affected cohort when surgical release is proposed. Laser surgical release (frenotomy) of tongue-tie, lip-tie, buccal-tie resulted in significant improvement in I-GERQ-R outcomes were found for cohorts of the classically recognised anterior tongue-tie and the less obvious (without functional assessment) and less diagnosed posterior tongue tie were found.

PMID:37038872 | DOI:10.23804/ejpd.2023.1817

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Nevin Manimala Statistics

Framework for cyber risk loss distribution of hospital infrastructure: Bond percolation on mixed random graphs approach

Risk Anal. 2023 Apr 10. doi: 10.1111/risa.14127. Online ahead of print.

ABSTRACT

Networks like those of healthcare infrastructure have been a primary target of cyberattacks for over a decade. From just a single cyberattack, a healthcare facility would expect to see millions of dollars in losses from legal fines, business interruption, and loss of revenue. As more medical devices become interconnected, more cyber vulnerabilities emerge, resulting in more potential exploitation that may disrupt patient care and give rise to catastrophic financial losses. In this paper, we propose a structural model of an aggregate loss distribution across multiple cyberattacks on a prototypical hospital network. Modeled as a mixed random graph, the hospital network consists of various patient-monitoring devices and medical imaging equipment as random nodes to account for the variable occupancy of patient rooms and availability of imaging equipment that are connected by bidirectional edges to fixed hospital and radiological information systems. Our framework accounts for the documented cyber vulnerabilities of a hospital’s trusted internal network of its major medical assets. To our knowledge, there exist no other models of an aggregate loss distribution for cyber risk in this setting. We contextualize the problem in the probabilistic graph-theoretical framework using a percolation model and combinatorial techniques to compute the mean and variance of the loss distribution for a mixed random network with associated random costs that can be useful for healthcare administrators and cybersecurity professionals to improve cybersecurity management strategies. By characterizing this distribution, we allow for the further utility of pricing cyber risk.

PMID:37038249 | DOI:10.1111/risa.14127

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Dose-response association between dietary folate and niacin intakes with diabetes among Chinese adults: a cross-sectional study

J Health Popul Nutr. 2023 Apr 10;42(1):31. doi: 10.1186/s41043-023-00362-w.

ABSTRACT

BACKGROUND: The aim of this study was to examine the relationship between dietary intake of folate and niacin and diabetes risk in Chinese adults.

METHODS: This is a cross-sectional study. Demographic and anthropometric data along with information on dietary intake of vitamins were collected, and eligible participants were recruited to complete the questionnaire. A binary logistic regression analysis was conducted to examine the association between dietary intake of vitamins and diabetes risk, with adjustment for potential confounders. Non-linear dose-response relationships between dietary intake of folate and niacin and diabetes risk were also evaluated using adjusted restricted cubic splines.

RESULTS: Of the 3106 eligible participants, 15.9% had diabetes. Median folate was significantly higher in diabetic patients than in controls (32.030 vs. 27.600 gμ), while median niacin was significantly lower (7.000 vs. 7.900 mg). After controlling for potential confounders, binary logistic regression analysis showed that each unit increase in folate intake was associated with a 1.002-fold increase in the risk of developing diabetes (odds ratio (OR) = 1.002; 95% confidence interval (CI) 1.000-1.004; P = 0.022), while each unit increase in niacin intake was associated with a 3.5% reduction in diabetes risk (OR = 0.965; 95% CI 0.944-0.986; P = 0.001). The plots of restricted cubic splines presented an atypical inverted U-shaped association between dietary intake of folate and diabetes risk.

CONCLUSIONS: Diabetic patients had a low intake of vitamins, especially the B vitamins. Dietary intake of folate and niacin tended to be independently associated with the risk of diabetes. Nevertheless, this study is observational and a large-scale randomized controlled trial is yet to be conducted, which will add to the evidence of the study results.

PMID:37038237 | DOI:10.1186/s41043-023-00362-w

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Probiotics for glycemic and lipid profile control of the pre-diabetic patients: a randomized, double-blinded, placebo-controlled clinical trial study

Diabetol Metab Syndr. 2023 Apr 10;15(1):71. doi: 10.1186/s13098-023-01050-9.

ABSTRACT

BACKGROUND: Pre-diabetes is a condition in which blood glucose levels are high but not as high as in diabetic patients. However, it can lead to diabetes, making it a serious global health issue. Previous studies have shown that the gut microbiome can affect insulin sensitivity and improve glucose management, which can reduce or delay the progression of pre-diabetes to type 2 diabetes mellitus. This study was designed to investigate the effects of probiotics on glycemic and lipid profile control in pre-diabetic patients.

METHODS: This randomized, double-blinded clinical trial was conducted on 70 pre-diabetic patients at the Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran. Participants were divided into two groups, both of which received lifestyle modification training. One of the groups also received 500 mg/day probiotic capsules for three months, while the other group received a placebo. Before and after the three-month period, systolic and diastolic blood pressure, serum insulin level, hemoglobin A1c (HbA1c), fasting blood sugar (FBS), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG) were measured and compared using statistical tests to examine the effect of probiotics.

RESULTS: A total of 70 individuals participated in the trial, including 50 women (71.4%) and 20 men (28.6%), with an average age of 43.53 ± 8.54 years. At the end of the trial, the mean weight (P < 0.001), FBS (P < 0.001), HbA1c (P = 0.035), TG (P = 0.004), and LDL (P = 0.016) were significantly reduced in the intervention group, while their insulin level (P = 0.041) and HDL (P = 0.001) were significantly increased. However, mean systolic (P = 0.459) and diastolic blood pressure (P = 0.961) and insulin resistance (P = 0.235) did not show any significant difference in the intervention group from the beginning of the study.

CONCLUSION: Our study showed that probiotic administration is effective in improving the glucose and lipid profile of pre-diabetic patients. However, it was not significantly different from the placebo.

PMID:37038214 | DOI:10.1186/s13098-023-01050-9

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Seroprevalence of viral and bacterial pathogens among malaria patients in an endemic area of southern Venezuela

Infect Dis Poverty. 2023 Apr 10;12(1):33. doi: 10.1186/s40249-023-01089-w.

ABSTRACT

BACKGROUND: Malaria remains a leading public health problem worldwide. Co-infections with other pathogens complicate its diagnosis and may modify the disease’s clinical course and management. Similarities in malaria clinical presentation with other infections and overlapping endemicity result in underdiagnosis of co-infections and increased mortality. Thus, the aim of this study was to determine the seroprevalence of viral and bacterial pathogens among diagnosed malaria patients in malaria-endemic areas in Venezuela.

METHODS: A cross-sectional study was conducted on malaria patients attending three reference medical centres in Ciudad Bolivar, Venezuela. Clinical evaluation and laboratory tests for dengue virus (DENV), chikungunya virus (CHIKV), viral hepatitis [hepatitis A virus (HAV), hepatitis B virus (HBV), and hepatitis C virus (HCV)], and leptospirosis (LEP) were performed by enzyme-linked immunosorbent assays. Previous exposure to these pathogens was defined by the presence of specific immunoglobulin (Ig) G, and co-infection or recent exposure (CoRE) was determined by the presence of specific IgM alone or IgM + IgG. Data analysis considered descriptive statistics. Parameter distribution was statistically evaluated using Kolmogorov-Smirnov test and the necessary comparison tests. Odds ratio (OR) for complications was determined according to CoRE presence with a 95% confidence interval (CI).

RESULTS: A total of 161 malaria patients were studied, 66% infected with Plasmodium vivax, 27% with P. falciparum, and 7.5% harboured P. vivax/P. falciparum mixed infection. Previous exposure to DENV (60%) and CHIKV (25%) was frequent. CoRE was confirmed in 55 of the 161 malaria patients (34%) and were more frequent in P. falciparum (49%) than in P. vivax (29%) and mixed malaria patients (25%) (OR = 2.43, 95% CI: 1.39-4.25, P = 0.018). The most frequent CoRE was DENV (15%), followed by HAV (12%), HBV (6.2%), CHIKV (5.5%), and LEP (3.7%); HCV CoRE was absent. Complicated malaria was significantly more frequent in patients with CoRE (56%) than those without CoRE (36%; OR = 2.31, 95% CI: 1.18-4.92, P = 0.013).

CONCLUSIONS: We found high CoRE prevalence in malaria patients as determined by serology in the study region; cases were associated with a worse clinical outcome. Further prospective studies with samples from different infection sites and the use of molecular tools are needed to determine the clinical significance of these findings.

PMID:37038195 | DOI:10.1186/s40249-023-01089-w

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Pan-cancer analysis and experimental validation of DTL as a potential diagnosis, prognosis and immunotherapy biomarker

BMC Cancer. 2023 Apr 10;23(1):328. doi: 10.1186/s12885-023-10755-z.

ABSTRACT

BACKGROUND: DTL has been found to be related with multiple cancers. However, comprehensive analyses, which identify the prediction value of DTL in diagnosis, prognosis, immune infiltration and treatment, have rarely been reported so far.

METHODS: Combined with the data online databases, the gene expression, gene mutation, function enrichment and the correlations with the immunity status and clinical indexes of DTL were analyzed. Expression of DTL and the degree of immune cell infiltration were examined by immunofluorescence (IF) and immunohistochemistry (IHC) and analyzed by statistical analysis. Furthermore, the influences of DTL on the cell cycle, cell proliferation and apoptosis were detected by live cell imaging, IF and flow cytometric (FC) analysis. Genomic stability assays were conducted by chromosome slide preparation.

RESULTS: DTL was widely expressed in various cells and tissues, while it was overexpressed in tumor tissues except acute myeloid leukemia (LAML). Pan-cancer bioinformatics analysis showed that the expression of DTL was correlated with the prognosis, immunotherapy, and clinical indexes in various cancers. In addition, gene set enrichment analysis (GSEA) uncovered that DTL was enriched in oocyte meiosis, pyrimidine metabolism, the cell cycle, the G2M checkpoint, mTORC1 signaling and E2F targets. Furthermore, the overexpression of DTL, and its association with immune cell infiltration and clinical indexes in liver hepatocellular carcinoma (LIHC), bladder urothelial carcinoma (BLCA) and stomach adenocarcinoma (STAD) were verified in our study. It was also verified that overexpression of DTL could regulate the cell cycle, promote cell proliferation and cause genomic instability in cultured cells, which may be the reason why DTL plays a role in the occurrence, progression and treatment of cancer.

CONCLUSIONS: Collectively, this study suggested that DTL is of clinical value in the diagnosis, prognosis and treatment of various cancers, and may be a potential biomarker in certain cancers.

PMID:37038185 | DOI:10.1186/s12885-023-10755-z