Nevin Manimala

J Physician Assist Educ. 2022 Jul 20. doi: 10.1097/JPA.0000000000000454. Online ahead of print.

ABSTRACT

INTRODUCTION: The purpose of this study was to conduct an innovative seminar that was developed by using clips from the television program ER to teach/reinforce key concepts of effective communication for didactic phase physician assistant (PA) students.

METHODS: Interactive, 2-hour, small group seminars were conducted as part of the PA curriculum. Demographic data, as well as information about prior exposure to medical-related television shows and interest in specific medical disciplines, were collected at baseline. The evaluation of this unconventional teaching strategy was completed via a post-activity self-administered, electronic survey. Descriptive statistics were calculated for closed-ended questions, and a thematic analysis approach was used to examine open-ended questions.

RESULTS: Approximately two-thirds (n = 49) of the students who attended the seminars completed both the baseline and post-activity surveys. The seminars were well-received, with 94% of respondents indicating they would like to participate in similar trainings in the future. The primary suggestion was to use clips from multiple television programs.

DISCUSSION: The results suggest that this instructional format was highly acceptable to modern PA students, who yearn for an amalgamation of education and entertainment. Future work could examine the influence of the seminar on students’ communication in clinical environments.

PMID:35862632 | DOI:10.1097/JPA.0000000000000454

Am J Sports Med. 2022 Jul 21:3635465221107371. doi: 10.1177/03635465221107371. Online ahead of print.

ABSTRACT

BACKGROUND: Arthroscopic rotator cuff repair is an effective procedure through which to decrease pain and increase strength, with favorable long-term outcomes demonstrated in older patient populations with full-thickness rotator cuff tears. The long-term outcomes after this procedure in younger, higher-demand patients, however, is not as clearly defined.

PURPOSE: To report on the long-term outcomes after arthroscopic rotator cuff repair of traumatic full-thickness rotator cuff tears in active duty military patients under the age of 40 years at the time of surgery.

STUDY DESIGN: Case series; Level of evidence, 4.

METHODS: Preoperative, midterm, and final evaluations were collected, including scores on the visual analog scale for pain, Single Assessment Numeric Evaluation, and American Shoulder and Elbow Surgeons shoulder form. A total of 42 patients were screened for inclusion: 3 underwent additional surgical procedures on the operative shoulder and 2 were lost to follow-up, leaving 37 patients with mean follow-up of 104.51 months available for analysis. A subgroup analysis was performed comparing outcomes between patients with Southern California Orthopaedic Institute grade 1 or 2 tears and those with grade 3 or 4 tears.

RESULTS: At final follow-up, pain per the visual analog scale decreased to 1.16 from 8.03 (P < .0001); the Single Assessment Numeric Evaluation score increased to 87.32 from 48.24 (P < .0001); and the American Shoulder and Elbow Surgeons score increased to 88.68 from 41.00 (P < .0001). There was no statistically significant difference in outcome scores or range of motion between midterm and final follow-up. Improvement in outcome scores and range of motion at final follow-up did not vary between patients with small and large tears. Of 42 patients, 37 (88.1%) were able to return to full unrestricted active duty and sporting activity, while 5 (11.9%) were medically separated from the military.

CONCLUSION: Active duty military patients under the age of 40 years with traumatic full-thickness rotator cuff tears had statistically and clinically significant increases in outcome scores and decreases in pain after arthroscopic rotator cuff repair at long-term follow-up.

PMID:35862618 | DOI:10.1177/03635465221107371

J Asthma. 2022 Jul 21:1-20. doi: 10.1080/02770903.2022.2103429. Online ahead of print.

ABSTRACT

Objective: The aim of this study is to review the effects of aerobic exercise on asthma control and quality of life in adult patient populations.:Data Sources: Randomized controlled trials and prospective studies published between January 2012 and April 2022 were searched in Scopus, Web of Science, and PubMed databases.:Study Selections: We followed pre-specified inclusion criteria and excluded manuscripts that studied pediatric populations and those that did not study asthma control or quality of life. We included ten randomized controlled trials and four prospective studies from a combined 2286 search results.:Results: Of the included studies, all but three studies found significant improvement in asthma control and quality of life after aerobic intervention. The method of measuring aerobic intervention varied among the studies. Statistical significance was consistent among studies that used maximal heart rate and peak power output to measure intervention.Conclusion: Aerobic exercise intervention can improve asthma control and quality of life in both the acute and chronic response phase. Aerobic activity can be measured by various methods, but in this review, there were no significant adverse events with activity. Higher quality studies are necessary to confirm these results.

PMID:35862617 | DOI:10.1080/02770903.2022.2103429

Am J Nurs. 2022 Aug 1;122(8):24-33. doi: 10.1097/01.NAJ.0000854488.48801.59.

ABSTRACT

BACKGROUND: Treatment-resistant schizophrenia (TRS) comes with significant medical comorbidities, including heart disease, liver disease, and diabetes-all of which contribute to higher mortality rates and shortened life expectancy. Second-generation antipsychotic medications do not consistently alleviate psychotic symptoms, especially among patients with TRS. Clozapine, the gold standard of pharmacological treatment for TRS, offers only partial relief for many patients. Additional treatment approaches, which include cognitive behavioral therapy (CBT), are often necessary.

PURPOSE: The aim of this integrative review was to assess the efficacy of CBT as an adjunctive treatment for TRS in various study populations.

METHODS: The Johns Hopkins Nursing Evidence-Based Practice Model and Guidelines were used to guide the review. A literature search of PubMed, CINAHL, Scopus, and PsycInfo was conducted, and a total of 66 articles were identified. Strong inclusion and exclusion criteria were applied to ensure that only high-quality studies were included for analysis.

RESULTS: Of the eight studies that met the eligibility criteria, five indicated that CBT has statistically significant efficacy in reducing positive psychotic symptoms of TRS. There was also evidence that in implementing CBT, a follow-up period of at least six months helps to sustain improvements.

CONCLUSIONS: CBT can be a safe and effective adjunctive treatment for patients with this illness. We recommend that nurses who work in psychiatric settings, EDs, and home health or community care settings obtain training in CBT.

PMID:35862601 | DOI:10.1097/01.NAJ.0000854488.48801.59

Epidemiol Prev. 2022 Jul-Aug;46(4):41-48. doi: 10.19191/EP22.4S1.055.

ABSTRACT

OBJECTIVES: to describe differences in the incidence of SARS-CoV-2 infections between Italians and foreigners residing in seven Italian Regions during the different phases of the pandemic and by gender.

DESIGN: retrospective observational study.

SETTING AND PARTICIPANTS: all confirmed SARS-CoV-2 infections from 02.02. 2020 to 16.07.2021 in the seven Regions under study were included. Italian resident population calculated by the National Institute of Statistics as of 01.01.2020 was used to calculate the rates. The considered period is divided into 5 sub-periods (phases).

MAIN OUTCOME MEASURES: number of confirmed SARS-CoV-2 infections in the five phases of the pandemic and crude rates by citizenship (Italian vs foreign). Distribution of infections by age group and by week. Crude and age-adjusted incidence rates ratios (IRR) were calculated, by Region, gender, and phase of the pandemic.

RESULTS: an epidemic curve delay was observed in foreigners in the first phase of the epidemic, in particular in the northern Regions, the most affected in that phase. The first phase of the epidemic was characterized by a greater proportion of cases occurred in people aged over 60 years than the other phases, both in Italians and in foreigners. The incidence among foreigners is higher during the summer of 2020 (intermediate period: June-September 2020) and during the last period (May-July 2021) in all Regions. The overall figure shows a lower incidence among foreigners than Italians, except for males in Tuscany.

CONCLUSIONS: the lower incidence rates among foreigners should be interpreted with caution as the available data suggest that it is at least partly attributable to less access to diagnostic tests. Regional differences found in the study deserve further research together with the effect of gender and country of origin.

PMID:35862559 | DOI:10.19191/EP22.4S1.055

Epidemiol Prev. 2022 Jul-Aug;46(4):25-32. doi: 10.19191/EP22.4S1.053.

ABSTRACT

OBJECTIVES: to evaluate the impact on total mortality of the COVID-19 pandemic in Italy, by country of birth.

DESIGN: historic cohort study based on administrative databases.

SETTING AND PARTICIPANTS: the study is based on subjects included in the Base Register of Individuals of the Italian National Institute of Statistics on 01.01.2019, aged 35-64 years, and followed-up until 31.07.2021.

MAIN OUTCOME MEASURES: age-standardized mortality rates were computed to analyse trends in overall mortality by country of birth grouped in three categories: 1. Italy and other high developed countries; 2. European countries with strong migratory pressure (EU-SMP); 3, non-European countries with strong migratory pressure (non-EU-SMP). Variations in mortality rates during the pandemic (March 2020-July 2021) with respect to the pre-pandemic period (January 2019-February 2020) were measured and compared across groups using mortality rate ratios (MRR) estimated by Poisson regression models, separately for men and women.

RESULTS: the cohort includes 26,199,241 individuals, of whom 172,847 died during the follow-up. Over the whole period, mortality was consistently lower in individuals born in non-EU-SMP countries as compared to those born in Italy and other high developed countries. During the first pandemic wave (March-April 2020), individuals born in non-EU-SMP countries had higher excesses as compared to those born in Italy or other high developed countries (MRRs: 1.42 vs 1.28 in men and 1.30 vs 1.11 in women). Similar results were observed during the pandemic period October 2020-April 2021, when the MRRs were 1.37 vs 1.20 in men and 1.30 vs 1.11 in women. In the same period, the excess mortality among individuals born in EU-SMP did not significantly differ from that observed among those born in Italy and other high developed countries.

CONCLUSIONS: in Italy, excess mortality during the COVID-19 pandemic was higher among immigrants born in non-EU-SMP countries as compared to the native population and immigrants born in high developed countries.

PMID:35862557 | DOI:10.19191/EP22.4S1.053

PLoS One. 2022 Jul 21;17(7):e0271504. doi: 10.1371/journal.pone.0271504. eCollection 2022.

ABSTRACT

Disaggregated population counts are needed to calculate health, economic, and development indicators in Low- and Middle-Income Countries (LMICs), especially in settings of rapid urbanisation. Censuses are often outdated and inaccurate in LMIC settings, and rarely disaggregated at fine geographic scale. Modelled gridded population datasets derived from census data have become widely used by development researchers and practitioners; however, accuracy in these datasets are evaluated at the spatial scale of model input data which is generally courser than the neighbourhood or cell-level scale of many applications. We simulate a realistic synthetic 2016 population in Khomas, Namibia, a majority urban region, and introduce several realistic levels of outdatedness (over 15 years) and inaccuracy in slum, non-slum, and rural areas. We aggregate the synthetic populations by census and administrative boundaries (to mimic census data), resulting in 32 gridded population datasets that are typical of LMIC settings using the WorldPop-Global-Unconstrained gridded population approach. We evaluate the cell-level accuracy of these gridded population datasets using the original synthetic population as a reference. In our simulation, we found large cell-level errors, particularly in slum cells. These were driven by the averaging of population densities in large areal units before model training. Age, accuracy, and aggregation of the input data also played a role in these errors. We suggest incorporating finer-scale training data into gridded population models generally, and WorldPop-Global-Unconstrained in particular (e.g., from routine household surveys or slum community population counts), and use of new building footprint datasets as a covariate to improve cell-level accuracy (as done in some new WorldPop-Global-Constrained datasets). It is important to measure accuracy of gridded population datasets at spatial scales more consistent with how the data are being applied, especially if they are to be used for monitoring key development indicators at neighbourhood scales within cities.

PMID:35862480 | DOI:10.1371/journal.pone.0271504

PLoS One. 2022 Jul 21;17(7):e0271094. doi: 10.1371/journal.pone.0271094. eCollection 2022.

ABSTRACT

The one-sample log-rank test is the method of choice for single-arm Phase II trials with time-to-event endpoint. It allows to compare the survival of patients to a reference survival curve that typically represents the expected survival under standard of care. The one-sample log-rank test, however, assumes that the reference survival curve is known. This ignores that the reference curve is commonly estimated from historic data and thus prone to sampling error. Ignoring sampling variability of the reference curve results in type I error rate inflation. We study this inflation in type I error rate analytically and by simulation. Moreover we derive the actual distribution of the one-sample log-rank test statistic, when the sampling variability of the reference curve is taken into account. In particular, we provide a consistent estimate of the factor by which the true variance of the one-sample log-rank statistic is underestimated when reference curve sampling variability is ignored. Our results are further substantiated by a case study using a real world data example in which we demonstrate how to estimate the error rate inflation in the planning stage of a trial.

PMID:35862473 | DOI:10.1371/journal.pone.0271094

Brain Behav. 2022 Jul 21:e2712. doi: 10.1002/brb3.2712. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Fatigue is a common but poorly understood complaint in patients with immune-mediated polyneuropathies. We sought to evaluate changes in fatigue over 1 year in a cohort of chronic inflammatory demyelinating polyneuropathy (CIDP) patients and to correlate changes in fatigue with changes in disability and quality of life. Investigation into other factors that may contribute to fatigue with a particular interest in the role other chronic disease states may play was also performed.

METHODS: Fifty patients with CIDP who satisfied the 2010 EFNS/PNS diagnostic criteria were followed over the period of 1 year at three tertiary care centers in Serbia. Assessments of disability, quality of life, and patient perception of change and fatigue were collected at two time points 12 months apart. Comorbidities, treatment regimens, and sedating medication use was collected.

RESULTS: Disability, quality of life, and patient perception of change showed statistically significant correlations with change in fatigue (p < .01). Increased levels of fatigue were noted in patients who used sedating medications (p = .05) and who had a comorbid chronic medical condition (p = .01).

INTERPRETATION: Worsening fatigue correlates over time with increased disability and worse quality of life. Fatigue is not specific to CIDP, but is common in many chronic medical conditions and with the use of sedating medications. Our findings support the importance of identifying and supportively managing fatigue in patients with CIDP, but cautions against considering fatigue as a CIDP diagnostic symptom or using fatigue to justify immunotherapy utilization.

PMID:35862228 | DOI:10.1002/brb3.2712

Stroke. 2022 Jul 13:101161STROKEAHA122039732. doi: 10.1161/STROKEAHA.122.039732. Online ahead of print.

ABSTRACT

BACKGROUND: Imaging features derived from T1-weighted (T1w) images texture analysis were shown to be potential markers of poststroke cognitive impairment, with better sensitivity than atrophy measurement. However, in magnetic resonance images, the signal distribution is subject to variations and can limit transferability of the method between centers. This study examined the reliability of texture features against imaging settings using data from different centers.

METHODS: Data were collected from 327 patients within the Stroke and Cognition Consortium from centers in France, Germany, Australia, and the United Kingdom. T1w images were preprocessed to normalize the signal intensities and then texture features, including first- and second-order statistics, were measured in the hippocampus and the entorhinal cortex. Differences between the data led to the use of 2 methods of analysis. First, a machine learning modeling, using random forest, was used to build a poststroke cognitive impairment prediction model using one dataset and this was validated on another dataset as external unseen data. Second, the predictive ability of the texture features was examined in the 2 remaining datasets by ANCOVA with false discovery rate correction for multiple comparisons.

RESULTS: The prediction model had a mean accuracy of 90% for individual classification of patients in the learning base while for the validation base it was ≈ 77%. ANCOVA showed significant differences, in all datasets, for the kurtosis and inverse difference moment texture features when measured in patients with cognitive impairment and those without.

CONCLUSIONS: These results suggest that texture features obtained from routine clinical MR images are robust early predictors of poststroke cognitive impairment and can be combined with other demographic and clinical predictors to build an accurate prediction model.

PMID:35862196 | DOI:10.1161/STROKEAHA.122.039732