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Nevin Manimala Statistics

Palliative Care Exposure Relative to Predicted Risk of 6-Month Mortality in Hospitalized Adults

J Pain Symptom Manage. 2022 Jan 23:S0885-3924(22)00034-3. doi: 10.1016/j.jpainsymman.2022.01.013. Online ahead of print.

ABSTRACT

CONTEXT: The optimal strategy for implementing mortality-predicting algorithms to facilitate clinical care, prognostic discussions, and palliative care interventions remains unknown.

OBJECTIVES: To develop and validate a real-time predictive model for 180-day mortality using routinely available clinical and laboratory admission data and determine if palliative care exposure varies with predicted mortality risk.

METHODS: Adult admissions between 10/1/2013 and 10/1/2017 were included for the model derivation. A separate cohort was collected between 1/1/2018 and 7/31/2020 for validation. Patients were followed for 180 days from discharge, and logistic regression with selected variables was used to estimate patients’ risk for mortality.

RESULTS: In the model derivation cohort, 7963 events of 180-day mortality (4.5% event rate) were observed. Median age was 53.0 (IQR 24.0-66.0) with 92,734 females (52.5%). Variables with strongest association with 180-day mortality included: Braden Score (OR 0.83; 95% CI 0.82-0.84); admission Do Not Resuscitate orders (OR 2.61; 95% CI 2.43-2.79); admission service and admission status. The model yielded excellent discriminatory ability in both the derivation (c-statistic 0.873; 95% CI 0.870-0.877; Brier score 0.04) and validation cohorts (c-statistic 0.844; 95% CI 0.840-0.847; Brier score 0.072). Inpatient palliative care consultations increased from 3% of minimal-risk encounters to 41% of high-risk encounters (p<0.01).

CONCLUSION: We developed and temporally validated a predictive mortality model for adults from a large retrospective cohort, which helps quantify the potential need for palliative care referrals based on risk strata. Machine learning algorithms for mortality require clinical interpretation, and additional studies are needed to design patient-centered and risk-specific interventions.

PMID:35081441 | DOI:10.1016/j.jpainsymman.2022.01.013

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Nevin Manimala Statistics

A review of high impact journals found that misinterpretation of non-statistically significant results from randomised trials was common

J Clin Epidemiol. 2022 Jan 23:S0895-4356(22)00021-X. doi: 10.1016/j.jclinepi.2022.01.014. Online ahead of print.

ABSTRACT

OBJECTIVES: To determine the prevalence of poor interpretation practices, such as conflating evidence of absence with absence of evidence and over-emphasis of statistical non-significance in abstract conclusions, in a sample of randomised controlled trials (RCTs) with non-statistically significant primary outcomes published after the 2016 American Statistical Association statement on the interpretation of p-values.

DESIGN AND SETTING: Review of 50 two-arm individually randomised superiority trials with non-statistically significant results in four high impact journals published between 2017 and 2020, to determine the proportion that conclude evidence of no impact (thus, likely conflating evidence of absence with absence of evidence) or place emphasis on statistical non-significance (technically correct but arguably uninformative) in the abstract conclusion.

RESULTS: Of the 50 RCTs with non-statistically significant results for primary outcomes, 28 (56%) of abstract were classified as concluding there was no difference between the two treatments; 19 (38%) placed an over-emphasis on statistical significance; only one acknowledged any uncertainty and the remaining 2 (4%) concluded that one treatment was more effective. Only four studies provided any justification for a finding of no difference, for example that the confidence interval gave no support to values of importance.

CONCLUSIONS: RCTs with non-statistically significant primary outcomes almost always present their conclusion in the abstract as evidence of no impact or ambiguously as “not statistically significant” without giving due attention to values supported by the confidence interval.

PMID:35081450 | DOI:10.1016/j.jclinepi.2022.01.014

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Nevin Manimala Statistics

Practice-level variation in the decision to biopsy PI-RADS 3 lesions in favorable-risk prostate cancer patients

Urology. 2022 Jan 23:S0090-4295(22)00070-X. doi: 10.1016/j.urology.2022.01.020. Online ahead of print.

ABSTRACT

OBJECTIVE: To examine practice-level variation in the management of MRI PI-RADS 3 lesions in men with favorable-risk prostate cancer (FRPC) considering or on active surveillance (AS).

METHODS: We reviewed the MUSIC registry for FRPC men (GG1 and low-volume GG2) undergoing MRI from 1/2013-3/2020. The primary outcome was to assess practice-level variation in time from MRI to biopsy and MRI to treatment for PI-RADS 3 lesions. Both MRIs obtained after the diagnostic biopsy and while on AS were included. The Kaplan-Meier method was used to estimate biopsy-free survival for time from MRI to surveillance biopsy and multivariable Cox proportional hazards models identified clinical and demographic factors associated with time obtaining a biopsy after finding PI-RADS 3 lesions.

RESULTS: We identified 3,172 FRPC men with a MRI, of whom 473 had a PI-RADS 3. There was significant practice-level variation in biopsy rates among patients with PI-RADS 3 MRI results (log-rank test, p<0.001), with biopsy-free probability at 6 months ranging from 28%-69% (median: 59%). We were unable to identify factors with significant associations with time to biopsy. Conversely, there was less variation in time from PI-RADS 3 to treatment (log-rank test, p=0.2), while several clinical factors had statistically-significant associations: age(p=0.018), PSA-Density 0.1-0.2(p=0.035), ISUP-GG 2(p=0.002), and number of positive cores(p<0.001), as expected.

CONCLUSION: Urology practice, rather than GG or extent of biopsy positivity, is the largest factor affecting the decision for biopsy of PI-RADS 3 lesions in FRPC men considering or on AS. Future work to assist with decision-making and reduce variability is needed.

PMID:35081398 | DOI:10.1016/j.urology.2022.01.020

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Nevin Manimala Statistics

In-Vitro Adhesive and Interfacial Analysis of A Phosphorylated Resin Polyalkenoate Cement Bonded To Dental Hard Tissues

J Dent. 2022 Jan 23:104050. doi: 10.1016/j.jdent.2022.104050. Online ahead of print.

ABSTRACT

OBJECTIVES: To assess the performance of a novel resin-modified glass-ionomer cement (pRMGIC) bonded to various tooth tissues after two-time intervals.

METHODS: 192 sound human molars were randomly assigned to 3 groups (n=64): sound enamel, demineralised enamel, sound dentine. Sixty-four teeth with natural carious lesions including caries-affected dentine (CAD) were selected. All substrates were prepared, conditioned and restored with pRMGIC (30% ethylene glycol methacrylate phosphate (EGMP, experimental), Fuji II LC (control), Fuji IX, and Filtek™ Supreme with Scotchbond TM Universal Adhesive. Shear bond strength (SBS) was determined after 24 h and three months storage in SBF at 37°C. The debonded surfaces were examined using stereomicroscopy and scanning electron microscopy (SEM). Multivariate Analysis of Variance (MANOVA), Bonferroni post hoc tests (alpha=0.05) and independent T-tests were used for multifactorial data analysis.

RESULTS: The hydrophilicity and functionality of EGMP enhanced the bond strength of the pRMGIC to different substrates after 24 h and 3 months as compared to F2LC (p<0.05). Adhesive failures were found to decrease with pRMGIC and integration into exposed enamel prisms and dentine tubules was observed with SEM. Ageing enhanced bond strength of pRMGIC to all substrates but was statistically significantly only in sound dentine. The SBS of pRMGIC was higher with sound vs. demineralised enamel at both time periods (p<0.001), while it was higher to CAD initially and to sound dentine post-storage (p=0.004).

CONCLUSIONS: pRMGIC exhibited enhanced bonding performance to various tooth tissues with an ability to seal exposed enamel prisms and dentine tubules.

CLINICAL SIGNIFICANCE: pRMGIC is a promising material exhibiting long-lasting bonded-tooth interfaces, for its use in minimally invasive reparative techniques.

PMID:35081422 | DOI:10.1016/j.jdent.2022.104050

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Nevin Manimala Statistics

Stochastic Vector Techniques in Ground-State Electronic Structure

Annu Rev Phys Chem. 2022 Jan 26. doi: 10.1146/annurev-physchem-090519-045916. Online ahead of print.

ABSTRACT

We review a suite of stochastic vector computational approaches for studying the electronic structure of extended condensed matter systems. These techniques help reduce algorithmic complexity, facilitate efficient parallelization, simplify computational tasks, accelerate calculations, and diminish memory requirements. While their scope is vast, we limit our study to ground-state and finite temperature density functional theory (DFT) and second-order perturbation theory. More advanced topics, such as quasiparticle (charge) and optical (neutral) excitations and higher-order processes, are covered elsewhere. We start by explaining how to use stochastic vectors in computations, characterizing the associated statistical errors. Next, we show how to estimate the electron density in DFT and discuss highly effective techniques to reduce statistical errors. Finally, we review the use of stochastic vector techniques for calculating correlation energies within the second-order Møller-Plesset perturbation theory and its finite temperature variational form. Example calculation results are presented and used to demonstrate the efficacy of the methods. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 73 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

PMID:35081326 | DOI:10.1146/annurev-physchem-090519-045916

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Nevin Manimala Statistics

Path Integrals for Nonadiabatic Dynamics: Multistate Ring Polymer Molecular Dynamics

Annu Rev Phys Chem. 2022 Jan 26. doi: 10.1146/annurev-physchem-082620-021809. Online ahead of print.

ABSTRACT

This review focuses on a recent class of path-integral-based methods that simulate nonadiabatic dynamics in the condensed phase using only classical molecular dynamics trajectories in an extended phase space. Specifically, a semiclassical mapping protocol is used to derive an exact, continuous, Cartesian variable path-integral representation for the canonical partition function of a system in which multiple electronic states are coupled to nuclear degrees of freedom. Building on this exact statistical foundation, multistate ring polymer molecular dynamics methods are developed for the approximate calculation of real-time thermal correlation functions. The remarkable promise of these multistate ring polymer methods, their successful applications, and their limitations are discussed in detail.Expected final online publication date for the Annual Review of Physical Chemistry, Volume 73 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

PMID:35081325 | DOI:10.1146/annurev-physchem-082620-021809

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Nevin Manimala Statistics

Homologous and Heterologous Covid-19 Booster Vaccinations

N Engl J Med. 2022 Jan 26. doi: 10.1056/NEJMoa2116414. Online ahead of print.

ABSTRACT

BACKGROUND: Although the three vaccines against coronavirus disease 2019 (Covid-19) that have received emergency use authorization in the United States are highly effective, breakthrough infections are occurring. Data are needed on the serial use of homologous boosters (same as the primary vaccine) and heterologous boosters (different from the primary vaccine) in fully vaccinated recipients.

METHODS: In this phase 1-2, open-label clinical trial conducted at 10 sites in the United States, adults who had completed a Covid-19 vaccine regimen at least 12 weeks earlier and had no reported history of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection received a booster injection with one of three vaccines: mRNA-1273 (Moderna) at a dose of 100 μg, Ad26.COV2.S (Johnson & Johnson-Janssen) at a dose of 5×1010 virus particles, or BNT162b2 (Pfizer-BioNTech) at a dose of 30 μg. The primary end points were safety, reactogenicity, and humoral immunogenicity on trial days 15 and 29.

RESULTS: Of the 458 participants who were enrolled in the trial, 154 received mRNA-1273, 150 received Ad26.COV2.S, and 153 received BNT162b2 as booster vaccines; 1 participant did not receive the assigned vaccine. Reactogenicity was similar to that reported for the primary series. More than half the recipients reported having injection-site pain, malaise, headache, or myalgia. For all combinations, antibody neutralizing titers against a SARS-CoV-2 D614G pseudovirus increased by a factor of 4 to 73, and binding titers increased by a factor of 5 to 55. Homologous boosters increased neutralizing antibody titers by a factor of 4 to 20, whereas heterologous boosters increased titers by a factor of 6 to 73. Spike-specific T-cell responses increased in all but the homologous Ad26.COV2.S-boosted subgroup. CD8+ T-cell levels were more durable in the Ad26.COV2.S-primed recipients, and heterologous boosting with the Ad26.COV2.S vaccine substantially increased spike-specific CD8+ T cells in the mRNA vaccine recipients.

CONCLUSIONS: Homologous and heterologous booster vaccines had an acceptable safety profile and were immunogenic in adults who had completed a primary Covid-19 vaccine regimen at least 12 weeks earlier. (Funded by the National Institute of Allergy and Infectious Diseases; DMID 21-0012 ClinicalTrials.gov number, NCT04889209.).

PMID:35081293 | DOI:10.1056/NEJMoa2116414

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Nevin Manimala Statistics

Gestational Exposure to Antidepressant Drugs and Neurodevelopment: An Examination of Language, Mathematics, Intelligence, and Other Cognitive Outcomes

J Clin Psychiatry. 2022 Jan 25;83(1):22f14388. doi: 10.4088/JCP.22f14388.

ABSTRACT

During the past decade, nearly a dozen small and large, prospective and retrospective observational studies examined cognitive neurodevelopmental outcomes in childhood after gestational exposure to antidepressant drugs. Many of the studies found that exposure was associated with poorer outcomes on measures of language, cognition, intellectual skills, and academic performance, but, in most instances, the association appeared to be more related to maternal depression during pregnancy and other confounds than to antidepressant use during pregnancy. A large new population-based observational study specifically examined language and mathematics performance in serial, nationally standardized tests. The study found that, in fully adjusted analyses, in children and adolescents aged 9-15 years, a history of gestational exposure to antidepressant drugs was associated with a small (by about 2 out of 100 points) but statistically significantly poorer performance in mathematics but not in language. The findings were consistent though attenuated in a large number of important and appropriate sensitivity analyses, some of which adjusted for confounding in additional ways. The body of literature reviewed suggests that prenatal antidepressant exposure is indeed associated with cognitive neurodevelopmental deficits and that the deficits are attenuated or eliminated by adjustment for maternal depression and other confounds. It is suggested that the deficits that remain despite adjustment may be due to residual confounding from unmeasured behavioral and internal environment variables associated with untreated maternal depression. Thus, prenatal antidepressant exposure may merely be a marker rather than the cause of cognitive neurodevelopmental deficits. Whereas the literature in the field does not drive a case for withholding antidepressants from depressed pregnant women, decision-making must remain a shared process.

PMID:35081278 | DOI:10.4088/JCP.22f14388

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Nevin Manimala Statistics

Association between age, gender, body mass index, and pulmonary function in preoperative patients with lung cancer

Clin Respir J. 2022 Jan 26. doi: 10.1111/crj.13476. Online ahead of print.

ABSTRACT

INTRODUCTION: Many confounding factors such as sex, age, and body mass index (BMI) affect pulmonary function parameters, but there are limited data about the direct and/or indirect effects of small airway function on lung function for differences in confounding factors.

OBJECTIVES: This study aimed to use structural equation model (SEM) to explain the influence of the confounding factors (age, sex, and BMI) on the relationship between small airway function and lung function in patients with lung cancer.

METHODS: A cross-sectional observational study was conducted in a single medical center. Subjects were assessed; small airway function was specified by MEF25% and MEF50%; lung function by FVC; pulmonary obstruction by FEV1, FEV1%, and FEV1/FVC; and PEF and PEF% reflected the strength of abdominal muscles. The measurement model was analyzed by confirmatory factor analysis. The SEM was conducted to analyze the structural models of the effects of the confounding factors.

RESULTS: In the measurement model, variables were fit to their domains, the path linking age and sex to pulmonary obstruction was positive and statistically significant, and the path linking sex to muscle strength was also positive and statistically significant. Muscle strength positively and significantly mediates the path between sex and FVC. As a moderator, BMI increased the effects of small airway function on FVC.

CONCLUSION: Age and sex were directed to pulmonary obstruction, and muscle strength as a mediator between sex and lung function was novel, and BMI adjusted the effects of small airway function on FVC.

PMID:35081274 | DOI:10.1111/crj.13476

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Mepolizumab improves work productivity, activity limitation, symptoms, and rescue medication use in severe eosinophilic asthma

Clin Respir J. 2022 Jan 26. doi: 10.1111/crj.13474. Online ahead of print.

ABSTRACT

Patients with severe eosinophilic asthma experience daily activity limitations and reduced productivity at work. Using anonymized individual patient-level data from two previously conducted randomized, double-blind, placebo-controlled studies (MENSA [GSK ID:115588/NCT01691521]; MUSCA [GSK ID:200862/NCT02281318]), we investigated the effect of mepolizumab on work productivity, activity limitation, symptoms, and rescue medication use. Patient-reported outcomes including Work Productivity and Activity Impairment-General Health (WPAI-GH) scores (impairment percentages, 0%-100%), global activity limitation (scale 1-4), and perceived change in activity limitation (Likert scale 1-7) since the start of the study were analyzed. WPAI-GH scores from MENSA were analyzed post hoc for employed patients using mixed model repeated measures; global activity limitation and perceived change in activity limitation from MUSCA were analyzed by ordinal logistic regression. Mean changes from baseline in daily asthma symptom scores (scale 0-5) and rescue medication use (occasions/day) were also assessed, via a post hoc meta-analysis of MENSA and MUSCA. At study end, WPAI-GH scores indicative of overall work impairment, impairment while working, and activity impairment consistently improved with mepolizumab versus placebo. Overall, 76% versus 54% of patients rated their activity as “much better,” “better,” or “slightly better” since the start of the study with mepolizumab versus placebo. Mepolizumab was associated with numerically larger improvements from baseline in asthma symptoms (treatment difference 0.21-0.29 points) and rescue medication use (treatment difference -0.08 to -0.22 occasions/day) versus placebo. Our results indicate that patients with severe eosinophilic asthma may experience improved activity limitation, work productivity, symptoms, and rescue medication use with mepolizumab.

PMID:35081275 | DOI:10.1111/crj.13474