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Nevin Manimala Statistics

Genetic Variation and Stroke Recovery: The STRONG Study

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

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Nevin Manimala Statistics

A statistical theory of the photoluminescence determination of the band gap energy in nano-crystals and layered materials

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

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Nevin Manimala Statistics

Statistical Methods to Examine Racial and Ethnic Disparities in the Surgical Literature: A Review and Recommendations for Improvement

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

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Nevin Manimala Statistics

Non-adiabatic molecular dynamics simulations provide new insights into the exciton transfer in the Fenna-Matthews-Olson complex

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

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Nevin Manimala Statistics

Efficacy and safety of TACE combined with tyrosine kinase inhibitors and camrelizumab for unresectable hepatocellular carcinoma: A systematic review and meta‑analysis

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

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Nevin Manimala Statistics

Plasma von Willebrand factor levels in patients with cancer: A meta‑analysis

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

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Nevin Manimala Statistics

Exploring the administrative burden faced by hematologists: a comprehensive study in Italy

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

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Nevin Manimala Statistics

Development and validation of a prediction model for mortality in critically ill COVID-19 patients

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

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Nevin Manimala Statistics

Synthesis and mutagenic risk of avanafil’s potential genotoxic impurities

RSC Adv. 2024 Jul 8;14(30):21432-21438. doi: 10.1039/d4ra02345e. eCollection 2024 Jul 5.

ABSTRACT

In the technical route for the synthesis of avanafil, 1-ethyl-(3-dimethylaminopropyl)carbamyldiimide hydrochloride (EDCI) and 1-hydroxybenzotriazole (HOBT) are used as reactive acid-amine binding agents. HOBT contains trace amounts of hydrazine residue, and there is a risk of introducing potentially mutagenic impurities with hydrazide-containing structures. The potentially genotoxic impurities E (Imp-E) and F (Imp-F) of avanafil with altering hydrazide-structure were synthesized by chemical method; subsequently, the impurities were evaluated and classified according to ICH M7 guidelines. Two complementary quantitative structure-activity relationship (QSAR) evaluation systems (Derek and Sarah) based on expert rules and statistics were used to preliminarily predict the genotoxicity of Imp-E and Imp-F, and the prediction result of E was suspected to be positive. In the Ames test of Imp-E and Imp-F, in the dose range of 62.5-1000 μg per plate, with or without the presence of metabolic activation system S9, the number of revertant colonies did not exceed 2 times the number of colonies in the solvent control group and did not show a dose-response relationship, and the test results were negative. Imp-E and Imp-F were determined to be negative for genotoxicity, which could be controlled as class 5 in ICH M7, that is, non mutagenic impurity.

PMID:38979469 | PMC:PMC11228755 | DOI:10.1039/d4ra02345e

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Nevin Manimala Statistics

A single-center, retrospective study-spring-evaluating the efficacy and safety of recombinant human vascular endothelial inhibitor combined with anti-PD-1 in elderly patients aged 80 and above with NSCLC

Front Immunol. 2024 Jun 24;15:1402018. doi: 10.3389/fimmu.2024.1402018. eCollection 2024.

ABSTRACT

AIM: To investigate the efficacy and safety of combining Recombinant Human Endostatin Injection (marketed as Endo) with anti-PD-1 in elderly patients aged 80 and above with non-small cell lung cancer (NSCLC).

METHODS: Retrospective analysis of 181 patients with NSCLC aged 80 and above treated in the Department of Respiratory and Critical Care Medicine at Chaohu Hospital, affiliated with Anhui Medical University, from June 2019 to January 2024. Patients who received at least one cycle of combined Endo with anti-PD-1 were included based on inclusion criteria. Clinical and pathological data were collected, including complete blood count, liver and kidney function, electrocardiogram, coagulation function, thyroid function, cardiac enzymes, and whole-body imaging. Adverse events were recorded with a final follow-up on January 25, 2024. The primary endpoints were progression-free survival (PFS) and overall survival (OS), with safety as a secondary endpoint.

RESULTS: This study involved 14 elderly patients with NSCLC aged over 80. Median progression-free survival (mPFS) was 102 days, and median overall survival (mOS) was 311 days. Subgroup analyses based on treatment cycles showed a non-significant 441-day mPFS increase in the long-term group (≥6 cycles, 5 patients) compared to the short-term group (<6 cycles, 9 patients). However, the mOS in the long-term group significantly exceeded the short-term group by 141 days, with statistical significance (P=0.048). Further categorization revealed a 204-day shorter mPFS in the monotherapy maintenance group (Endo or Immunol) compared to the combination maintenance group (Endo combined with Immunol, 441 days). The mOS of the monotherapy maintenance group was longer (686 days) than the combination maintenance group (311 days), but no statistical significance (P= 0.710, 0.920). Throughout the treatment, 77 adverse events were recorded, mainly grade 1-2, with no new treatment-related reactions occurred. Overall, the safety of Endo combined with anti-PD-1 was considered good and manageable.

CONCLUSION: The combination of Endo and anti-PD-1 could be an effective treatment choice for patients with NSCLC aged 80 and above.

PMID:38979430 | PMC:PMC11228178 | DOI:10.3389/fimmu.2024.1402018