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Nevin Manimala Statistics

Six-month outcomes in postapproval HeartMate3 patients: A single-center US experience

J Card Surg. 2022 Apr 6. doi: 10.1111/jocs.16452. Online ahead of print.

ABSTRACT

BACKGROUND: The European CE Mark approval study and the MOMENTUM 3 trial demonstrated safety and a reduction in hemocompatibility-related adverse events with the use of HeartMate 3 (HM3) device. This single-center study investigated the real-world experience in HM3 patients since FDA approval.

METHODS: This retrospective, observational study included patients implanted with the HM3 LVAD as a primary implant between October 2017 and March 2020. Patients were divided into trial group and postapproval group. The primary endpoint was survival at 6 months. Secondary endpoints were adverse events including pump thrombosis (requiring pump exchange), stroke, renal failure, acute limb ischemia, re-exploratory for bleeding, gastrointestinal bleeding, right ventricular failure, and driveline infection.

RESULTS: A total of 189 patients were implanted with HM3 device during the study period. 174 patients met the inclusion criteria: 82 patients in the trial group and 92 patients in the postapproval group. The postapproval group had younger patients, higher preoperative mean international normalized ratio, and greater numbers of patients with bridge to transplant (BTT) indications, IINTERMACS profile 1, and use of mechanical assist devices (other than IABP) than the trial group. Other characteristics between the two groups were comparable. Overall survival at 6 months in the postapproval group was 93.3% versus 93.8% (p = .88). The postapproval group demonstrated a statistically significant lower incidence of re-explorative surgery for bleeding (10.9% vs. 46.3, p = .01) than the trial group.

CONCLUSION: In this single-center study, the real-world 6-month survival in the postapproval group was comparable to the trial results. Further studies are needed to monitor long-term outcomes.

PMID:35385586 | DOI:10.1111/jocs.16452

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Nevin Manimala Statistics

Understanding the relationship between distress intolerance and problematic Internet use: The mediating role of coping motives and the moderating role of need frustration

J Adolesc. 2022 Apr 6. doi: 10.1002/jad.12032. Online ahead of print.

ABSTRACT

INTRODUCTION: There is emerging research interest in exploring the relationship between distress intolerance and problematic Internet use, yet most of the existing studies are limited by cross-sectional design, convenience sampling method, and poor understanding of the potential mediating and moderating factors involved. Based on the distress intolerance theory of addictive behavior and the theory of compensatory internet use, this study investigated a moderated mediation model to explain the impact of distress intolerance on problematic Internet use in adolescents.

METHODS: A three-wave longitudinal survey was conducted with 709 adolescents in Shanghai, China. The gender distribution was even, 50.2% were boys and 49.8% were girls. The mean age at T1 was 14.79 years (SD = 2.87).

RESULTS: Distress intolerance at Time 1 was found to positively predict problematic Internet use at Time 3. This prospective relation was mediated by adolescents’ coping motives for Internet use at Time 2. Further, the mediation effect of coping motives for Internet use was moderated by need frustration at Time 2. The moderated mediation model was statistically equivalent for both genders.

CONCLUSIONS: Findings of this study contribute to new knowledge and have practical implications for prevention and intervention of adolescent problematic Internet use.

PMID:35385589 | DOI:10.1002/jad.12032

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Nevin Manimala Statistics

Evaluation of Kinesiophobia in Survivors of Major Burn Injury

J Burn Care Res. 2022 Apr 6:irac043. doi: 10.1093/jbcr/irac043. Online ahead of print.

ABSTRACT

Kinesiophobia, the fear of movement and re-injury, has not been described in burn injury survivors. Physical activity is a key component of burn rehabilitation programs. Yet, not all burn survivors exercise at the recommended level. This is an exploratory study examining the association of the demographics and injury characteristics of burn survivors with a fear of movement. The subjective fear of movement was measured using the Tampa Scale for Kinesiophobia (TSK). The TSK score was compared between several demographics and injury characteristics by performing the independent sample t-test. Sixty-six percent of subjects in our study (n=35), reported high levels of kinesiophobia (score 37 or above). The mean scores of the TSK were greater in males (40.7), non-White (43.0), Hispanic/Latino (41.1), age greater than 50 years (42.3), and total body surface area (TBSA) burn of >15% compared to females (36.9), White (38.5), non-Hispanic/Latino (39.3), age 50 years or less (38.1), and TBSA 15% or less (39.4) respectively. However, with the exception of time post injury, none of the mean differences were statistically significant. Subjects who had sustained a burn injury more than 12 months ago showed higher levels of kinesiophobia than the subjects who were injured within 12 months with a mean difference of 7.35 (p=.01). Thus, this study highlights the importance of (i) continued, long-term follow up for burn survivors, and (ii) appropriate educational and treatment interventions to address any underlying existing, new, or emerging medical issues that may contribute to the fear or avoidance of movement.

PMID:35385580 | DOI:10.1093/jbcr/irac043

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Nevin Manimala Statistics

Evaluation of herpesvirus members on hospital admission in patients with systemic lupus erythematous shows higher frequency of Epstein-Barr virus and its associated renal dysfunction

J Bras Nefrol. 2022 Apr 4:S0101-28002022005021403. doi: 10.1590/2175-8239-JBN-2021-0184. Online ahead of print.

ABSTRACT

INTRODUCTION: Members of the Herpesviridae family have been described in patients with systemic lupus erythematous (SLE), but the clinical impact on renal function is not well known.

METHODS: HSV1, HSV2, VZV, EBV, CMV, HHV-6, HHV-7, and HHV-8 were evaluated by molecular biology on admission in blood samples from 40 consecutive SLE patients hospitalized for lupus activity.

RESULTS: Patients were 90.0% female, 77.5% non-white, with average age of 32.7 ± 13.6 years. We found positivity for EBV (65.0%), CMV (30.0%), HSV-1 (30.0%), HHV-6 (12.5%), and HHV-7 (7.5%). For all viruses, age, SLEDAI, hematological tests, ferritin, LDH, C-reactive protein, and erythrocyte sedimentation rate (ESR) were not significant. However, EBV positivity was a significant factor for higher serum creatinine (3.0 ± 2.8 vs. 0.9 ± 0.8; P = 0.001) and urea (86 ± 51 vs. 50 ± 46; P = 0.03). Moreover, positive cases for EBV only or with combined co-infections (66.7%-CMV; 58.3%-HSV-1) or negative for EBV only were evaluated by Kruskal-Wallis test again showed statistical significance for serum creatinine and urea (both P ≤ 0.01), with posttest also showing statistical differences for renal dysfunction and EBV presence (alone or in combined co-infections). The presence of EBV viral load was also significant for nephrotic-range proteinuria, renal flare, and the need for hemodialysis.

CONCLUSION: Members of the Herpeviridae family (mainly EBV, HSV-1 and CMV) are common on hospital admission of SLE patients, reaching 65% for EBV, which seems to be associated with renal dysfunction and could reflect a previous association or overlapping disease, which is not well understood.

PMID:35385570 | DOI:10.1590/2175-8239-JBN-2021-0184

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Nevin Manimala Statistics

The Graying of Divorce: A Half Century of Change

J Gerontol B Psychol Sci Soc Sci. 2022 Apr 6:gbac057. doi: 10.1093/geronb/gbac057. Online ahead of print.

ABSTRACT

OBJECTIVES: We traced the historical arc of the rise in gray divorce (i.e., divorce that occurs among adults aged 50 and older) in the U.S. since 1970, elucidating unique patterns for middle-aged (aged 50-64) versus older (aged 65+) adults.

METHODS: Data from the 1970, 1980, and 1990 U.S. Vital Statistics Reports and the 2010 and 2019 American Community Survey (ACS) were used to chart the trends in gray divorce over the past half century. Drawing on the 2019 ACS, we estimated gray divorce rates across sociodemographic subgroups for today’s middle-aged and older adults. We pooled the 2010 (N = 757,835) and 2019 (N = 892,714) ACS data to assess whether divorce risks are shifting for middle-aged versus older adults.

RESULTS: The gray divorce rate was low and grew only modestly between 1970 and 1990 before doubling by 2010. Since 2010, the rate has decreased slightly (but the decrease is not statistically significant). The gray divorce rate has stagnated among middle-aged adults but continues to climb among older adults.

DISCUSSION: Our study illustrates the graying of divorce over the past half century. Nowadays, 36% of U.S. adults getting divorced are aged 50 or older. The only age group with an increasing divorce rate is adults aged 65+, raising new questions about how they will navigate old age.

PMID:35385579 | DOI:10.1093/geronb/gbac057

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Nevin Manimala Statistics

A comparative study on the effect of blood collection tubes on stress oxidative markers

PLoS One. 2022 Apr 6;17(4):e0266567. doi: 10.1371/journal.pone.0266567. eCollection 2022.

ABSTRACT

Oxidative stress has a major role in disease pathogenesis. However, limited studies have investigated the effect of various sample collection tubes on oxidative biomarkers. The present study aimed to evaluate the effect of different collection tubes on the variation of malondialdehyde (MDA), nitric oxide (NO), total thiol (t-SH), and ferric reducing ability of plasma (FRAP) levels. A total of 35 individuals participated in this study and each collected sample was separated into three different tubes: glass tubes (GTs), plain plastic tubes (PTs), and gel separator tubes (GSTs). The results of PTs and GSTs were compared to those of GTs as the reference tube. The comparison between the means of biomarkers in various tubes indicated that there was no significant difference in MDA results between tubes. In contrast, t-SH and NO content were significantly decreased in GSTs and PTs compared to GTs. However, the Bland-Altman analysis showed an acceptable concordance for the mentioned analytes and the statistically significant differences were not clinically significant for NO, MDA, and t-SH antioxidant parameters. Moreover, the FRAP level was considerably lower in GSTs compared to GTs. Nevertheless, the Bland-Altman analysis showed a high bias percentage for the FRAP assay when using PTs and GSTs. According to the present results, it can be concluded that switching to plastic blood collection tubes or serum separation tubes could influence the FRAP results. However, there was no interference for the interpretation of other antioxidant assays in different types of collection tubes. Hence, it is suggested to use GTs for total antioxidant capacity evaluations, especially the FRAP assay.

PMID:35385561 | DOI:10.1371/journal.pone.0266567

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Nevin Manimala Statistics

Psychological distress and well-being among students of health disciplines in Geneva, Switzerland: The importance of academic satisfaction in the context of academic year-end and COVID-19 stress on their learning experience

PLoS One. 2022 Apr 6;17(4):e0266612. doi: 10.1371/journal.pone.0266612. eCollection 2022.

ABSTRACT

INTRODUCTION: University students’ psychological health is linked to their academic satisfaction. This study aimed to investigate students’ psychological health and academic satisfaction in the context of COVID-19 and academic year-end stress.

MATERIALS AND METHODS: Standardized self-filled scales for anxiety, depression, stress, psychological well-being, academic satisfaction (subjective assessment of students’ quality of life in their educational setting), and an ad-hoc scale for stress on the learning experience due to COVID-19 were used in this cross-sectional study. Participants were first- to third-year students of eight different health-related tracks in Geneva, Switzerland. Descriptive statistics and hierarchical regression analyses were applied.

RESULTS: In June 2020, out of 2835 invited students, 433 (15%) completed the survey. Academic satisfaction was a stronger mental health predictor than COVID-19 stress on the learning experience, which mainly predicted stress and anxiety. Lower academic satisfaction scores were significantly associated with stress (β = -0.53, p < 0.001), depression (β = -0.26, p < 0.001), anxiety (β = -0.20, p < 0.001), while higher scores with psychological well-being (β = 0.48, p < 0.001). Identifying as female was strongly associated with anxiety and stress but not with depression or psychological well-being. Lower age was associated with stress only. The nature of the academic training had a lesser impact on mental health and the academic year had no impact.

CONCLUSIONS: Academic satisfaction plays a more substantial role than COVID-19 stress on the learning experience in predicting students’ overall mental health status. Training institutions should address the underlying factors that can enhance students’ academic satisfaction, especially during the COVID-19 period, in addition to ensuring that they have a continuous and adequate learning experience, as well as access to psychosocial services that help them cope with mental distress and enhance their psychological well-being.

PMID:35385555 | DOI:10.1371/journal.pone.0266612

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Nevin Manimala Statistics

Thermal remote sensing over heterogeneous urban and suburban landscapes using sensor-driven super-resolution

PLoS One. 2022 Apr 6;17(4):e0266541. doi: 10.1371/journal.pone.0266541. eCollection 2022.

ABSTRACT

Thermal remote sensing is an important tool for monitoring regional climate and environment, including urban heat islands. However, it suffers from a relatively lower spatial resolution compared to optical remote sensing. To improve the spatial resolution, various “data-driven” image processing techniques (pan-sharpening, kernel-driven methods, and machine learning) have been developed in the previous decades. Such empirical super-resolution methods create visually appealing thermal images; however, they may sacrifice radiometric consistency because they are not necessarily sensitive to specific sensor features. In this paper, we evaluated a “sensor-driven” super-resolution approach that explicitly considers the sensor blurring process, to ensure radiometric consistency with the original thermal image during high-resolution thermal image retrieval. The sensor-driven algorithm was applied to a cloud-free Moderate Resolution Imaging Spectroradiometer (MODIS) scene of heterogeneous urban and suburban landscape that included built-up areas, low mountains with a forest, a lake, croplands, and river channels. Validation against the reference high-resolution thermal image obtained by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) shows that the sensor-driven algorithm can downscale the MODIS image to 250-m resolution, while maintaining a high statistical consistency with the original MODIS and ASTER images. Part of our algorithm, such as radiometric offset correction based on the Mahalanobis distance, may be integrated with other existing approaches in the future.

PMID:35385560 | DOI:10.1371/journal.pone.0266541

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Nevin Manimala Statistics

Three-dimensional geometric morphometric sex determination of the whole and modeled fragmentary human pubic bone

PLoS One. 2022 Apr 6;17(4):e0265754. doi: 10.1371/journal.pone.0265754. eCollection 2022.

ABSTRACT

Sex determination of the human pelvis has traditionally been done through visual analyses of morphoscopic traits and there are limited metric methods available to forensic anthropologists to add metric credibility to these analyses. The goal of this research was to create an improved metric method using three-dimensional geometric morphometrics to determine sex from both whole and modeled fragmented human pubic bones. The sample consisted of n = 378 pubic bones from the University of New Mexico’s Maxwell Museum Documented Skeletal Collection and eight landmarks were collected from each bone. Statistical analyses and machine learning algorithms were used to predict the accuracy of the method’s ability to classify a bone as male or female on both whole and simulated fragmented remains; this included tests run on each possible landmark combination of three or more landmarks to simulate fragmented bones (218 combinations). The results of the whole bone analysis resulted in 95.35% testing accuracy. The results of the modeled fragmentary analysis consisted of 164 combinations which exhibit a 90% or higher accuracy in sex prediction; and twelve combinations which exhibit 96% or higher accuracy in sex prediction. In particular, two landmarks clustered around the ventral arc of the pubic bone performed the best, indicating this is the most sexually dimorphic portion of the bone. These results indicate that three-dimensional geometric morphometrics is a valid method to be applied to sex determination in forensic anthropology.

PMID:35385554 | DOI:10.1371/journal.pone.0265754

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Nevin Manimala Statistics

The effect of the Ontario stay-at-home order on Covid-19 third wave infections including vaccination considerations: An interrupted time series analysis

PLoS One. 2022 Apr 6;17(4):e0265549. doi: 10.1371/journal.pone.0265549. eCollection 2022.

ABSTRACT

The Covid-19 global pandemic that began in March 2020 was not fully mitigated through governmental Non-Pharmaceutical Interventions (NPIs) and continued to infect people and take lives through 2021. Since many countries were affected by the second, third, and fourth waves of Covid-19, governments extended and strengthened NPIs, but these actions led to citizen protests and fatigue. In this study, we investigate the effect of a lockdown policy on Covid-19 third wave implemented by the province of Ontario, Canada, on April 3rd 2021, followed by a stay-at-home order on April 7th 2021 while free Covid-19 testing and vaccination were in progress. Herein, the effect of both NPIs and vaccination are considered simultaneously. We used the prevalence of Covid-19 cases, tests, and administered vaccines data reported publicly by the Government of Ontario on their website. Because mobility changes can reflect the behaviors and adherence of residents with a stay-at-home order, Covid-19 community mobility data for Ontario provided by Google was also considered. A statistical method called interrupted time series was used to analyze the data. The results indicated that, although vaccinations helped to control the Covid-19 infection rate during this time, the stay-at-home order caused a rate reduction by decreasing the trend of the Covid-19 prevalence by 13 (±0.8962) persons per million daily and the level by 33 (±7.6854) persons per million. Furthermore, the stay-at-home order resulted in approximately a 37% reduction in Covid-19 prevalence one week after the intervention’s effective date. Therefore, Ontario’s strict lockdown policy, including several NPIs, mitigated the Covid-19 surge during the third wave. The results show that even when vaccination is in progress, strict NPIs such as lockdown is required to control Covid-19 waves, and early re-openings should be avoided. These results may also be useful for other countries that have implemented delayed vaccination schedules.

PMID:35385547 | DOI:10.1371/journal.pone.0265549