Category: Statistics

Ir J Med Sci. 2024 Jul 9. doi: 10.1007/s11845-024-03754-x. Online ahead of print.

ABSTRACT

BACKGROUND: Diabetes mellitus is a major health problem with a variety of implications: cellular, metabolic, and hematological. Hematological alterations observed in type 2 diabetes are related to hyperglycemia and have a vital role in vascular-associated diabetes complications which could be used as a marker for these complications. The aim of this study is to assess the association between hematological indices and blood glucose levels in patients with type 2 diabetes attending outpatient clinics in Mosul.

PATIENTS AND METHODS: A case-control study was done on 100 patients with type 2 diabetes and 100 healthy controls attending Alwafa Center for Diabetes and Endocrinology and four family medicine health centers in Mosul for the period 1st of January 2024-30th of March 2024. Data collection was done by a direct interview with participants. Hematological indices were tested by using an automatic hematology analyzer.

RESULTS: Statistically significant differences in Hb were found between diabetic patients and controls (P = 0.007). The total WBC count, neutrophils, and lymphocytes were significantly higher in diabetic patients compared to controls (P = 0.001 for all). Moreover, platelet indices (platelets count and PDW) showed a significant difference between diabetic patients and controls (P = 0.004 and 0.000) respectively. In addition, total WBC count, neutrophil count, and lymphocytes show a statistically significant positive correlation with FBS (P = 0.026, 0.050, and 0.019) respectively.

CONCLUSION: This study revealed statistically significant differences in various hematological parameters between patients with type 2 diabetes and healthy controls. Regular testing of hematological indices helps in early detection and proper management of diabetic complications.

PMID:38980554 | DOI:10.1007/s11845-024-03754-x

Afr J Reprod Health. 2024 Jun 30;28(6):15-24. doi: 10.29063/ajrh2024/v28i6.2.

ABSTRACT

A deeper understanding of the factors associated with female genital mutilation remains important in the fight against this practice, particularly in developing countries. This study focused on young women (15-35 years) and pooled analysis using DHS data (2015-2019) for selected sub-Saharan African countries was done. The weighted study sample was 26289 and the data were analysed using univariate, bivariate and multivariate regression analysis. The results are based on information at the time of the survey. The overall prevalence of FGM among young women from the selected countries was 71.5%. Sierra Leone had the highest prevalence (83.7%), followed by Tanzania (80.8%), Ethiopia (73.0%), and Gambia (72.4%). The prevalence in Senegal and Guinea were both below 60%. We found that age, level of education, age at first marriage, parity, employment status, media exposure, and type of place of residence were statistically associated with FGM. This calls for targeted interventions focusing on increasing awareness, education, and empowerment for young women with low socio-economic status.

PMID:38979639 | DOI:10.29063/ajrh2024/v28i6.2

Stroke. 2024 Jul 9. doi: 10.1161/STROKEAHA.124.047643. Online ahead of print.

ABSTRACT

BACKGROUND: Genetic association studies can reveal biology and treatment targets but have received limited attention for stroke recovery. STRONG (Stroke, Stress, Rehabilitation, and Genetics) was a prospective, longitudinal (1-year), genetic study in adults with stroke at 28 US stroke centers. The primary aim was to examine the association that candidate genetic variants have with (1) motor/functional outcomes and (2) stress-related outcomes.

METHODS: For motor/functional end points, 3 candidate gene variants (ApoE ε4, BDNF [brain-derived neurotrophic factor], and a dopamine polygenic score) were analyzed for associations with change in grip strength (3 months-baseline), function (3-month Stroke Impact Scale-Activities of Daily Living), mood (3-month Patient Health Questionnaire-8), and cognition (12-month telephone-Montreal Cognitive Assessment). For stress-related outcomes, 7 variants (serotonin transporter gene-linked promoter region, ACE [angiotensin-converting enzyme], oxytocin receptor, FKBP5 [FKBP prolyl isomerase 5], FAAH [fatty acid amide hydrolase], BDNF, and COMT [catechol-O-methyltransferase]) were assessed for associations with posttraumatic stress disorder ([PTSD]; PTSD Primary Care Scale) and depression (Patient Health Questionnaire-8) at 6 and 12 months; stress-related genes were examined as a function of poststroke stress level. Statistical models (linear, negative binomial, or Poisson regression) were based on response variable distribution; all included stroke severity, age, sex, and ancestry as covariates. Stroke subtype was explored secondarily. Data were Holm-Bonferroni corrected. A secondary replication analysis tested whether the rs1842681 polymorphism (identified in the GISCOME study [Genetics of Ischaemic Stroke Functional Outcome]) was related to 3-month modified Rankin Scale score in STRONG.

RESULTS: The 763 enrollees were 63.1±14.9 (mean±SD) years of age, with a median initial National Institutes of Health Stroke Scale score of 4 (interquartile range, 2-9); outcome data were available in n=515 at 3 months, n=500 at 6 months, and n=489 at 12 months. At 1 year poststroke, the rs6265 (BDNF) variant was associated with poorer cognition (0.9-point lower telephone-Montreal Cognitive Assessment score, P=1×10^-5). For stress-related outcomes, rs4291 (ACE) and rs324420 (FAAH) were risk factors linking increased poststroke stress with higher 1-year depression and PTSD symptoms (P<0.05), while rs4680 (COMT) linked poststroke stress with lower 1-year depression and PTSD. Findings were unchanged when considering stroke subtype. STRONG replicated GISCOME: rs1842681 was associated with lower 3-month modified Rankin Scale score (P=3.2×10^-5).

CONCLUSIONS: This study identified genetic associations with cognitive function, depression, and PTSD 1 year poststroke. Genetic susceptibility to PTSD and depressive symptoms varied according to the amount of poststroke stress, underscoring the critical role of lived experiences in recovery. Together, the results suggest that genetic association studies provide insights into the biology of stroke recovery in humans.

PMID:38979623 | DOI:10.1161/STROKEAHA.124.047643

Phys Chem Chem Phys. 2024 Jul 9. doi: 10.1039/d4cp01772b. Online ahead of print.

ABSTRACT

Semiconductor nano-crystals as well as two-dimensional nanostructures manifest an abnormal dependence of the optical band gap energy on the temperature. In contrast to bulk systems, in the present case the optical band gap energy increases with temperature or may show a non-monotonic blueshift-redshift behavior. It was suggested that this abnormal temperature behavior is associated with the recombination of excitons and free electron-hole pairs under conditions of quantum confinement. Here, we show that the presence of nanometer lengths and anharmonic interactions makes it necessary to rescale the energy and thermal energy of the material according to the invariance of statistical mechanics on the energy/thermal-energy ratio. In addition, considering the effects of the thermal expansion of the material, we managed to derive a formula for the optical band gap energy. Using this formula, the photoluminescence spectra are accounted for by emphasizing that the exciton and free electron-hole pair recombination is a non-thermal statistical process following a Poisson distribution in which the average value of the energy and the full width at half maximum are both directly related to the optical band gap energy. Our results account remarkably well for several experimental data reported in recent literature.

PMID:38979612 | DOI:10.1039/d4cp01772b

Ann Surg. 2024 Jul 9. doi: 10.1097/SLA.0000000000006440. Online ahead of print.

ABSTRACT

OBJECTIVE: We characterized the quality of statistical methods for studies of racial and ethnic disparities in the surgical-relevant literature during 2021-2022.

BACKGROUND: Hundreds of scientific papers are published each year describing racial and ethnic disparities in surgical access, quality, and outcomes. The content and design quality of this literature has never been systematically reviewed.

METHODS: We searched for 2021-2022 studies focused on describing racial and/or ethnic disparities in surgical or perioperative access, process quality, or outcomes. Identified studies were characterized in terms of three methodological criteria: 1) adjustment for variables related to both race/ethnicity and outcomes, including social determinants of health (SDOH); 2) accounting for clustering of patients within hospitals or other subunits (“providers”) and; 3) distinguishing within- and between-provider effects.

RESULTS: We identified 224 papers describing racial and/or ethnic differences. Of the 38 single institution studies, 24 (63.2%) adjusted for at least one SDOH variable. Of the 186 multisite studies, 113 (60.8%) adjusted for at least one SDOH variable, and 43 (23.1%) accounted for clustering of patients within providers using appropriate statistical methods. Only 10 (5.4%) of multi-institution studies made efforts to examine how much of overall disparities were driven by within versus between provider effects.

CONCLUSIONS: Most recently published papers on racial and ethnic disparities in the surgical literature do not meet these important statistical design criteria and therefore may risk inaccuracy in the estimation of group differences in surgical access, quality, and outcomes. The most potent leverage points for these improvements are changes to journal publication guidelines and policies.

PMID:38979600 | DOI:10.1097/SLA.0000000000006440

Phys Chem Chem Phys. 2024 Jul 9. doi: 10.1039/d4cp02116a. Online ahead of print.

ABSTRACT

A trajectory surface hopping approach, which uses machine learning to speed up the most time-consuming steps, has been adopted to investigate the exciton transfer in light-harvesting systems. The present neural networks achieve high accuracy in predicting both Coulomb couplings and excitation energies. The latter are predicted taking into account the environment of the pigments. Direct simulation of exciton dynamics through light-harvesting complexes on significant time scales is usually challenging due to the coupled motion of nuclear and electronic degrees of freedom in these rather large systems containing several relatively large pigments. In the present approach, however, we are able to evaluate a statistically significant number of non-adiabatic molecular dynamics trajectories with respect to exciton delocalization and exciton paths. The formalism is applied to the Fenna-Matthews-Olson complex of green sulfur bacteria, which transfers energy from the light-harvesting chlorosome to the reaction center with astonishing efficiency. The system has been studied experimentally and theoretically for decades. In total, we were able to simulate non-adiabatically more than 30 ns, sampling also the relevant space of parameters within their uncertainty. Our simulations show that the driving force supplied by the energy landscape resulting from electrostatic tuning is sufficient to funnel the energy towards site 3, from where it can be transferred to the reaction center. However, the high efficiency of transfer within a picosecond timescale can be attributed to the rather unusual properties of the BChl a molecules, resulting in very low inner and outer-sphere reorganization energies, not matched by any other organic molecule, e.g., used in organic electronics. A comparison with electron and exciton transfer in organic materials is particularly illuminating, suggesting a mechanism to explain the comparably high transfer efficiency.

PMID:38979564 | DOI:10.1039/d4cp02116a

Oncol Lett. 2024 Jun 26;28(2):401. doi: 10.3892/ol.2024.14534. eCollection 2024 Aug.

ABSTRACT

Transcatheter arterial chemoembolization (TACE) combined with tyrosine kinase inhibitors (TKIs) and camrelizumab (collectively: T-T-C) is a novel treatment strategy for unresectable hepatocellular carcinoma (HCC). The present systematic review and meta-analysis aimed to evaluate the efficacy and safety of T-T-C compared with TACE combined with TKIs only (T-T) in the treatment of patients with unresectable HCC. A systematic literature search was conducted on T-T and T-T-C using PubMed, Embase and the Cochrane Library. Data regarding the clinical outcome, including overall survival (OS), progression-free survival (PFS), tumor response and adverse events (AEs), were independently extracted and analyzed by two researchers using standardized protocols. In total, 7 cohort studies, including 1,798 patients (T-T-C, 838; T-T, 960), were included in the meta-analysis. The results of the present study demonstrated that the T-T-C group had significantly prolonged OS [hazard ratio (HR), 0.38; 95% confidence interval (CI), 0.29-0.50; I²=61.5%; P=0.016)] and PFS (HR, 0.37; 95% CI, 0.30-0.46; I²=44.5%; P=0.109), and showed significantly higher objective response rates [risk ratio (RR), 0.82; 95% CI, 0.69-0.96; I²=25.1%; P=0.237)] and slightly higher disease control rates without a significant difference (RR, 0.96; 95% CI, 0.89-1.03; I²=0.0%; P=0.969). In addition, grade 3/4 AEs were more common in the T-T group, including hypertension (RR, 1.15; 95% CI, 0.85-1.56), vomiting or nausea (RR, 0.88; 95% CI, 0.44-1.76) and pain (RR, 0.74; 95% CI, 0.45-1.21); however, these results were not statistically significant. In conclusion, compared with T-T combination therapy, T-T-C demonstrated a notable advantage in terms of OS, PFS, ORR and DCR in patients with unresectable HCC. For manageable AEs, although the results were not statistically significant, the incidence of AEs in the T-T group was higher than that in the T-T-C group in terms of event probability.

PMID:38979553 | PMC:PMC11228926 | DOI:10.3892/ol.2024.14534

Oncol Lett. 2024 Jun 26;28(2):399. doi: 10.3892/ol.2024.14532. eCollection 2024 Aug.

ABSTRACT

von Willebrand Factor (VWF) is well recognized for being dysregulated in various malignancies and has emerged as a potential biomarker for cancer detection. The present meta-analysis aimed to elucidate the association between plasma VWF and the incidence and metastasis of cancer. For this purpose, a comprehensive search was conducted across multiple databases from their inception until March 3, 2023. This culminated in the selection of 15 original studies on various types of cancer, including a collective sample of 1,403 individuals. The standardized mean difference (SMD) and 95% confidence intervals (CIs) were employed as statistical parameters to determine the association between plasma VWF and the incidence and metastasis of cancer. These were estimated using a random-effects model. The pooled data revealed that the plasma VWF levels of patients with cancer were significantly elevated compared with those of healthy controls (SMD, 0.98; 95% CI, 0.59-1.36), and a significant association was observed between plasma VWF levels and cancer metastasis (SMD, 0.69; 95% CI, 0.33-1.06). The symmetry of the Begg’s funnel plots indicated that no significant bias was present in the analyses of VWF in cancer and its metastasis. In summary, the results of the present meta-analysis support the hypothesis that increased plasma VWF levels may serve as a biomarker for cancer and metastatic progression.

PMID:38979552 | PMC:PMC11228924 | DOI:10.3892/ol.2024.14532

Glob Reg Health Technol Assess. 2024 Jul 3;11:161-168. doi: 10.33393/grhta.2024.3042. eCollection 2024 Jan-Dec.

ABSTRACT

BACKGROUND: Administrative burdens have been identified as a major issue impacting patient care, professional practice, and the overall efficiency of healthcare systems. The aim of this study is to assess the administrative burden faced by Italian hematologists.

METHODS: A cross-sectional survey that included both closed-ended quantitative questions and open-ended free text answer options was administered to 1,570 hematologists working with malignancies and members of Italian GIMEMA Foundation – Franco Mandelli ONLUS and the Italian Linfomi Foundation (FIL). The survey was conducted online from May 24 to June 30, 2023. Descriptive statistics were computed for the quantitative data to clearly summarize the responses and descriptive analysis of free text responses was carried out.

RESULTS: Surveyed hematologists spend an average of 47.07% of their time on administrative tasks, with 63.22% (n = 110) of respondents reporting spending at least half of their time on these activities. More than half (57.47%, n = 100) reported that “Patient care” is the medical task most affected by a lack of time. Additionally, 55.17% (n = 96) reported experiencing burnout in the past 6 months, with filling out “Forms” being identified as the top contributing administrative task by 27.59% (n = 48) of respondents, followed by “Scheduling” (24.71%, n = 43) and “Managing IT system failures” (21.84%, n = 38). Nearly half of the surveyed hematologists (45.40%, n = = 79) identified patient care as the top priority requiring more time.

CONCLUSIONS: The study confirms that the administrative workload of hematologists has a significant impact on patient care, communication, and burnout risk, reducing the time available for patient care, leading to exhaustion and concern about clinical errors.

PMID:38979549 | PMC:PMC11228512 | DOI:10.33393/grhta.2024.3042

Front Cell Infect Microbiol. 2024 Jun 24;14:1309529. doi: 10.3389/fcimb.2024.1309529. eCollection 2024.

ABSTRACT

BACKGROUND: Early prediction of prognosis may help early treatment measures to reduce mortality in critically ill coronavirus disease (COVID-19) patients. The study aimed to develop a mortality prediction model for critically ill COVID-19 patients.

METHODS: This retrospective study analyzed the clinical data of critically ill COVID-19 patients in an intensive care unit between April and June 2022. Propensity matching scores were used to reduce the effect of confounding factors. A predictive model was built using logistic regression analysis and visualized using a nomogram. Calibration and receiver operating characteristic (ROC) curves were used to estimate the accuracy and predictive value of the model. Decision curve analysis (DCA) was used to examine the value of the model for clinical interventions.

RESULTS: In total, 137 critically ill COVID-19 patients were enrolled; 84 survived, and 53 died. Univariate and multivariate logistic regression analyses revealed that aspartate aminotransferase (AST), creatinine, and myoglobin levels were independent prognostic factors. We constructed logistic regression prediction models using the seven least absolute shrinkage and selection operator regression-selected variables (hematocrit, red blood cell distribution width-standard deviation, procalcitonin, AST, creatinine, potassium, and myoglobin; Model 1) and three independent factor variables (Model 2). The calibration curves suggested that the actual predictions of the two models were similar to the ideal predictions. The ROC curve indicated that both models had good predictive power, and Model 1 had better predictive power than Model 2. The DCA results suggested that the model intervention was beneficial to patients and patients benefited more from Model 1 than from Model 2.

CONCLUSION: The predictive model constructed using characteristic variables screened using LASSO regression can accurately predict the prognosis of critically ill COVID-19 patients. This model can assist clinicians in implementing early interventions. External validation by prospective large-sample studies is required.

PMID:38979512 | PMC:PMC11228157 | DOI:10.3389/fcimb.2024.1309529