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Nevin Manimala Statistics

SARS-CoV-2 infection, vaccination, and antibody response trajectories in adults: a cohort study in Catalonia

BMC Med. 2022 Sep 16;20(1):347. doi: 10.1186/s12916-022-02547-2.

ABSTRACT

BACKGROUND: Heterogeneity of the population in relation to infection, COVID-19 vaccination, and host characteristics is likely reflected in the underlying SARS-CoV-2 antibody responses.

METHODS: We measured IgM, IgA, and IgG levels against SARS-CoV-2 spike and nucleocapsid antigens in 1076 adults of a cohort study in Catalonia between June and November 2020 and a second time between May and July 2021. Questionnaire data and electronic health records on vaccination and COVID-19 testing were available in both periods. Data on several lifestyle, health-related, and sociodemographic characteristics were also available.

RESULTS: Antibody seroreversion occurred in 35.8% of the 64 participants non-vaccinated and infected almost a year ago and was related to asymptomatic infection, age above 60 years, and smoking. Moreover, the analysis on kinetics revealed that among all responses, IgG RBD, IgA RBD, and IgG S2 decreased less within 1 year after infection. Among vaccinated, 2.1% did not present antibodies at the time of testing and approximately 1% had breakthrough infections post-vaccination. In the post-vaccination era, IgM responses and those against nucleoprotein were much less prevalent. In previously infected individuals, vaccination boosted the immune response and there was a slight but statistically significant increase in responses after a 2nd compared to the 1st dose. Infected vaccinated participants had superior antibody levels across time compared to naïve-vaccinated people. mRNA vaccines and, particularly the Spikevax, induced higher antibodies after 1st and 2nd doses compared to Vaxzevria or Janssen COVID-19 vaccines. In multivariable regression analyses, antibody responses after vaccination were predicted by the type of vaccine, infection age, sex, smoking, and mental and cardiovascular diseases.

CONCLUSIONS: Our data support that infected people would benefit from vaccination. Results also indicate that hybrid immunity results in superior antibody responses and infection-naïve people would need a booster dose earlier than previously infected people. Mental diseases are associated with less efficient responses to vaccination.

PMID:36109713 | DOI:10.1186/s12916-022-02547-2

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Nevin Manimala Statistics

Reduction of care-relevant risks to older patients during and after acute hospital care (ReduRisk) – study protocol of a cluster randomized efficacy trial in a stepped wedge design

BMC Geriatr. 2022 Sep 15;22(1):754. doi: 10.1186/s12877-022-03442-4.

ABSTRACT

BACKGROUND: Older patients are at an increased risk of hospitalization, negatively affecting their health and quality of life. Such patients also experience a lack of physical activity during their inpatient stay, as well as being at increased risk of delirium and inappropriate prescribing. These risk factors can accumulate, promoting a degree of morbidity and the development of cognitive impairment.

METHODS: Through the ReduRisk-program, patients at risk of functional impairment, immobility, falls, delirium or re-hospitalization shortly after hospital discharge, will be identified via risk-screening. These patients will receive an individually tailored, multicomponent and risk-adjusted prevention program. The trial will compare the effectiveness of the ReduRisk-program against usual care in a stepped-wedge-design, with quarterly cluster randomization of six university hospital departments into intervention and control groups. 612 older adults aged 70 years or more are being recruited. Patients in the intervention cluster (n = 357) will receive the ReduRisk-program, comprising risk-adjusted delirium management, structured mobility training and digitally supported planning of post-inpatient care, including polypharmacy management. This study will evaluate the impact of the ReduRisk-program on the primary outcomes of activities of daily living and mobility, and the secondary outcomes of delirium, cognition, falls, grip strength, health-related quality of life, potentially inappropriate prescribing, health care costs and re-hospitalizations. Assessments will be conducted at inpatient admission (t0), at discharge (t1) and at six months post-discharge (t2). In the six-month period following discharge, a health-economic evaluation will be carried out based on routine health insurance data (t3).

DISCUSSION: Despite the importance of multicomponent, risk-specific approaches to managing older patients, guidelines on their effectiveness are lacking. This trial will seek to provide evidence for the effectiveness of a multicomponent, risk-adjusted prevention program for older patients at risk of functional impairment, immobility, falls, delirium and re-hospitalization. Positive study results would support efforts to improve multicomponent prevention and the management of older patients.

TRIAL REGISTRATION: German Clinical Trials Register, DRKS00025594, date of registration: 09/08/2021.

PMID:36109707 | DOI:10.1186/s12877-022-03442-4

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Nevin Manimala Statistics

Preventive treatment can reverse cognitive impairment in chronic migraine

J Headache Pain. 2022 Sep 15;23(1):121. doi: 10.1186/s10194-022-01486-w.

ABSTRACT

OBJECTIVE: To study the impact of chronic migraine (CM) on the cognition and quality of life (QoL) of patients in the interictal period, and to analyse the degree of reversibility of any observed alterations following the use of preventive treatment.

BACKGROUND: CM is a highly disabling disease, and migraineurs often have associated comorbidities, such as subjective memory problems, that are involved in the development of cognitive impairment. Our hypotheses are that patients suffering from chronic migraine experience objective cognitive alterations that are not only due to the pain that they suffer or their current emotional state. Furthermore, preventive treatment should be capable of reversing, or at least reducing, the impact of CM on the cognition and QoL of migraineurs.

METHODS: The cognition and QoL of 50 control subjects and 46 patients with CM were assessed using a battery of tests, prior to the use of preventive treatment based on botulinum toxin or oral drugs and after 3 months of this treatment.

RESULTS: Compared with controls, patients with CM had lower scores on the assessment of cognitive performance (Rey-Osterrieth Complex Figure test [ROCF] (p<0.05), Trail Making Test [TMT] B) (p < 0.05) and QoL (p < 0.05). Three months after the use of preventive treatment, improvement was observed in all cognitive parameters (p < 0.05) and QoL (p < 0.05), except the ROCF copy task (p = 0.79). No statistically significant differences were observed when these outcomes were compared based on treatment.

CONCLUSIONS: This study confirms poor cognitive performance that is not explained by migraine pain itself, as it occurs in the interictal period, irrespective of the patient’s emotional status. Our findings show that these effects are reversible in some cases with preventive treatment of CM, reaffirming the important impact of this condition on the QoL of these patients, and the need to establish preventive treatment guidelines.

PMID:36109696 | DOI:10.1186/s10194-022-01486-w

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Nevin Manimala Statistics

Removing unwanted variation from large-scale RNA sequencing data with PRPS

Nat Biotechnol. 2022 Sep 15. doi: 10.1038/s41587-022-01440-w. Online ahead of print.

ABSTRACT

Accurate identification and effective removal of unwanted variation is essential to derive meaningful biological results from RNA sequencing (RNA-seq) data, especially when the data come from large and complex studies. Using RNA-seq data from The Cancer Genome Atlas (TCGA), we examined several sources of unwanted variation and demonstrate here how these can significantly compromise various downstream analyses, including cancer subtype identification, association between gene expression and survival outcomes and gene co-expression analysis. We propose a strategy, called pseudo-replicates of pseudo-samples (PRPS), for deploying our recently developed normalization method, called removing unwanted variation III (RUV-III), to remove the variation caused by library size, tumor purity and batch effects in TCGA RNA-seq data. We illustrate the value of our approach by comparing it to the standard TCGA normalizations on several TCGA RNA-seq datasets. RUV-III with PRPS can be used to integrate and normalize other large transcriptomic datasets coming from multiple laboratories or platforms.

PMID:36109686 | DOI:10.1038/s41587-022-01440-w

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Nevin Manimala Statistics

SVision: a deep learning approach to resolve complex structural variants

Nat Methods. 2022 Sep 16. doi: 10.1038/s41592-022-01609-w. Online ahead of print.

ABSTRACT

Complex structural variants (CSVs) encompass multiple breakpoints and are often missed or misinterpreted. We developed SVision, a deep-learning-based multi-object-recognition framework, to automatically detect and haracterize CSVs from long-read sequencing data. SVision outperforms current callers at identifying the internal structure of complex events and has revealed 80 high-quality CSVs with 25 distinct structures from an individual genome. SVision directly detects CSVs without matching known structures, allowing sensitive detection of both common and previously uncharacterized complex rearrangements.

PMID:36109679 | DOI:10.1038/s41592-022-01609-w

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Nevin Manimala Statistics

An update to SPIRIT and CONSORT reporting guidelines to enhance transparency in randomized trials

Nat Med. 2022 Sep 15. doi: 10.1038/s41591-022-01989-8. Online ahead of print.

NO ABSTRACT

PMID:36109642 | DOI:10.1038/s41591-022-01989-8

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Nevin Manimala Statistics

Skin microbiota analysis in patients with anorexia nervosa and healthy-weight controls reveals microbial indicators of healthy weight and associations with the antimicrobial peptide psoriasin

Sci Rep. 2022 Sep 15;12(1):15515. doi: 10.1038/s41598-022-19676-6.

ABSTRACT

Anorexia nervosa (AN), a psychiatric condition defined by low body weight for age and height, is associated with numerous dermatological conditions. Yet, clinical observations report that patients with AN do not suffer from infectious skin diseases like those associated with primary malnutrition. Cell-mediated immunity appears to be amplified in AN; however, this proinflammatory state does not sufficiently explain the lower incidence of infections. Antimicrobial peptides (AMPs) are important components of the innate immune system protecting from pathogens and shaping the microbiota. In Drosophila melanogaster starvation precedes increased AMP gene expression. Here, we analyzed skin microbiota in patients with AN and age-matched, healthy-weight controls and investigated the influence of weight gain on microbial community structure. We then correlated features of the skin microbial community with psoriasin and RNase 7, two highly abundant AMPs in human skin, to clarify whether an association between AMPs and skin microbiota exists and whether such a relationship might contribute to the resistance to cutaneous infections observed in AN. We find significant statistical correlations between Shannon diversity and the highly abundant skin AMP psoriasin and bacterial load, respectively. Moreover, we reveal psoriasin significantly associates with Abiotrophia, an indicator for the healthy-weight control group. Additionally, we observe a significant correlation between an individual’s body mass index and Lactobacillus, a microbial indicator of health. Future investigation may help clarify physiological mechanisms that link nutritional intake with skin physiology.

PMID:36109548 | DOI:10.1038/s41598-022-19676-6

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Nevin Manimala Statistics

On the extreme hydrologic events determinants by means of Beta-Singh-Maddala reparameterization

Sci Rep. 2022 Sep 15;12(1):15537. doi: 10.1038/s41598-022-19802-4.

ABSTRACT

In previous studies, beta-k distribution and distribution functions strongly related to that, have played important roles in representing extreme events. Among these distributions, the Beta-Singh-Maddala turned out to be adequate for modelling hydrological extreme events. Starting from this distribution, the aim of the paper is to express the model as a function of indexes of hydrological interest and simultaneously investigate on their dependence with a set of explanatory variables in such a way to explore on possible determinants of extreme hydrologic events. Finally, an application to a real hydrologic dataset is considered in order to show the potentiality of the proposed model in describing data and in understanding effects of covariates on frequently adopted hydrological indicators.

PMID:36109545 | DOI:10.1038/s41598-022-19802-4

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Nevin Manimala Statistics

Exploring the capability approach to quality of life in disadvantaged population groups

Sci Rep. 2022 Sep 15;12(1):15248. doi: 10.1038/s41598-022-18877-3.

ABSTRACT

The capability approach argues that having effective choices and fair opportunities are essential to maintain and promote one’s own health and quality of life (QoL). This study examines the determinants of QoL in four disadvantaged population groups (young people not in education, employment, or training; long-term unemployed; refugees; older people living alone) within the framework of the capabilities by tracking the direct and indirect effects of individual and structural factors and capabilities on their QoL. Cross-sectional data (N = 866) with validated scales of quality of life (physical, social, psychological, and environmental QoL) and self-reported capabilities were utilized. Individual factors included age and gender and structural factors education and income. Descriptive statistics and structural equation modelling with latent variables were used for statistical analyses. Our results suggest that capabilities have crucial direct and mediating roles in achieving good QoL in the disadvantaged population groups. Individual factors had only small effects whereas especially the structural factors affected QoL through capabilities. Our results suggest that to reduce health inequalities and to promote wellbeing, policies should focus on improving both the structural factors and the individual capabilities of people in disadvantaged positions.

PMID:36109542 | DOI:10.1038/s41598-022-18877-3

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Nevin Manimala Statistics

The experience of pregnancy associated osteoporosis: An international survey with implications for midwifery care

Midwifery. 2022 Aug 24;115:103468. doi: 10.1016/j.midw.2022.103468. Online ahead of print.

ABSTRACT

INTRODUCTION: Pregnancy associated osteoporosis (PAO) is a rare and complex condition. Its etiology is unclear, but possible predisposing factors include osteoporosis in a first degree relative, low body mass index, celiac or other malabsorption disorders, poor nutrition, low vitamin D and calcium intake, long-term use of medications associated with bone loss, physical inactivity, and prolonged amenorrhea. There is no standard for diagnosis or treatment. Diagnosis is typically made following reports of severe pain and imaging establishing the presence of fractures in vertebrae, pelvic structures, or the femoral neck. Research has focused on diagnosis and effective treatments. The absence of descriptive statistics and qualitative data about the presentation, recovery, and psychosocial dimensions of PAO represents a striking gap in the existing literature. The objectives for this preliminary study were to identify key features and the range of experiences of individuals with PAO to aid midwives, who are uniquely situated to identify the condition early in the postpartum course, and to inform future midwifery research on supporting recovery from this complex condition.

METHODS: A 39-47 question survey was developed in Qualtrics; questions were primarily quantitative. Members (N = 306) of a closed, international Osteoporosis and Pregnancy Facebook group were recruited with a post announcing the study and a link to the survey, followed by 2 reminders between June and August 2020. Data were analyzed in Qualtrics. Descriptive statistics were compiled. Qualitative data were analyzed using a grounded theory approach with both open and selective coding.

FINDINGS: Sixty-nine individuals (22% response rate) representing 12 countries responded to the survey, with most respondents from the United States, the United Kingdom, and Australia. Respondents frequently reported delays in diagnosis; only 4.4% of respondents were diagnosed within one month of the onset of fracture pain. Cessation of breastfeeding to reverse physiologic hypoestrogenemia and to stop calcium loss, dietary supplementation, orthopedic braces, and osteoanabolic medications or parathyroid hormone analogues were commonly reported treatment approaches. PAO has a prolonged impact on mobility and infant care. Six months from the onset of fracture pain, only 42% of respondents were physically able to care for their infants alone.

CONCLUSION: PAO is a rare and complex condition in need of further research. Dismissal of pain and lack of knowledge about PAO are frequently encountered by those seeking care, which midwives may be able to mitigate with timely referrals to appropriate specialists. PAO often has a prolonged impact on the ability to care for an infant alone. This should be considered in the development of comprehensive care plans. The core competencies of the International Confederation of Midwives include assessing health status and screening for risks, facilitating individualized decision-making about care, and recognizing conditions outside midwifery scope of practice and referring appropriately (ICM 2019). As members of diverse health care teams, midwives may have opportunities to facilitate diagnosis through timely referral, encourage collaborative decision-making on treatment and future perinatal care, and weigh in on the impact of individual social determinants of health.

PMID:36108340 | DOI:10.1016/j.midw.2022.103468