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Nevin Manimala Statistics

Comparative Analysis of the Hearing Effects of Partial Ossicular Replacement Prosthesis Versus Conchal Cartilage in Canal Wall Down Mastoidectomy with Type II Tympanoplasty: A Retrospective Case Review Study

Ear Nose Throat J. 2023 May 18:1455613231170952. doi: 10.1177/01455613231170952. Online ahead of print.

ABSTRACT

OBJECTIVES: To investigate the effects of titanium partial ossicular replacement prosthesis (PORP) and conchal cartilage for ossiculoplasty on hearing results in single-stage canal wall down (CWD) mastoidectomy surgery with type II tympanoplasty in patients with cholesteatoma.

METHODS: The patients were performed surgeries for the first time by a senior otosurgeon from 2009 to 2022 and were performed CWD mastoidectomy with type II tympanoplasty in one stage were enrolled. Patients who could not be followed up were excluded. Titanium PORP or conchal cartilage was used for ossiculoplasty. When the stapes head was intact, a cartilage 1.2-1.5 mm thick was attached directly to the stapes; when the head of the stapes was eroded, a 1 mm high PORP and cartilage of .2-.5 mm thick were placed on the stapes simultaneously.

RESULTS: 148 patients were included in the study in total. The titanium PORP and conchal cartilage groups showed no statistically significant differences at 500, 1000, 2000, and 4000 Hz considering the number of decibels of closure of the air-bone gap (ABG) (P > .05) and pure-tone average ABG (PTA-ABG) (P > .05). Meanwhile, the closure of PTA-ABG between the 2 groups showed no statistically significant differences in the overall distribution (P > .05).

CONCLUSIONS: For patients with cholesteatoma and mobile stapes who underwent CWD mastoidectomy with type II tympanoplasty in one stage, either PORP or conchal cartilage is a satisfactory material for ossiculoplasty.

PMID:37200002 | DOI:10.1177/01455613231170952

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Nevin Manimala Statistics

Clinical epidemiology and case fatality due to antimicrobial resistance in Germany: a systematic review and meta-analysis, 1 January 2010 to 31 December 2021

Euro Surveill. 2023 May;28(20). doi: 10.2807/1560-7917.ES.2023.28.20.2200672.

ABSTRACT

BackgroundAntimicrobial resistance (AMR) is of public health concern worldwide.AimWe aimed to summarise the German AMR situation for clinicians and microbiologists.MethodsWe conducted a systematic review and meta-analysis of 60 published studies and data from the German Antibiotic-Resistance-Surveillance (ARS). Primary outcomes were AMR proportions in bacterial isolates from infected patients in Germany (2016-2021) and the case fatality rates (2010-2021). Random and fixed (common) effect models were used to calculate pooled proportions and pooled case fatality odds ratios, respectively.ResultsThe pooled proportion of meticillin resistance in Staphylococcus aureus infections (MRSA) was 7.9% with a declining trend between 2014 and 2020 (odds ratio (OR) = 0.89; 95% CI: 0.886-0.891; p < 0.0001), while vancomycin resistance in Enterococcus faecium (VRE) bloodstream infections increased (OR = 1.18; (95% CI: 1.16-1.21); p < 0.0001) with a pooled proportion of 34.9%. Case fatality rates for MRSA and VRE were higher than for their susceptible strains (OR = 2.29; 95% CI: 1.91-2.75 and 1.69; 95% CI: 1.22-2.33, respectively). Carbapenem resistance in Gram-negative pathogens (Klebsiella pneumoniae, Acinetobacter baumannii, Enterobacter spp. and Escherichia coli) was low to moderate (< 9%), but resistance against third-generation cephalosporins and fluoroquinolones was moderate to high (5-25%). Pseudomonas aeruginosa exhibited high resistance against carbapenems (17.0%; 95% CI: 11.9-22.8), third-generation cephalosporins (10.1%; 95% CI: 6.6-14.2) and fluoroquinolones (24.9%; 95% CI: 19.3-30.9). Statistical heterogeneity was high (I2 > 70%) across studies reporting resistance proportions.ConclusionContinuous efforts in AMR surveillance and infection prevention and control as well as antibiotic stewardship are needed to limit the spread of AMR in Germany.

PMID:37199987 | DOI:10.2807/1560-7917.ES.2023.28.20.2200672

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Nevin Manimala Statistics

Disclosure of traumatic details and obsessive-compulsive contamination symptoms in sexual assault survivors

Psychol Trauma. 2023 May 18. doi: 10.1037/tra0001485. Online ahead of print.

ABSTRACT

OBJECTIVE: Contamination concerns are common following sexual victimization and are associated with increased attentional bias and difficulty disengaging from contamination cues. While most survivors of sexual trauma disclose their experience to others, it is unclear whether disclosure increases feelings of contamination or whether, consistent with the fever model of disclosure, existing contamination-related distress increases the amount of content shared during disclosure, indicative of attentional bias toward contamination-inducing aspects of the trauma memory.

METHOD: Accordingly, the current study examined the directionality and relationships between contamination symptoms and content shared during sexual assault disclosure in 106 sexual assault survivors (76.4% women). Forced decision regression with subsequent independence test (RESIT) was used to identify directionality of relationships, and multivariate and linear regressions examined these proposed effects in the presence of assault and demographic characteristics.

RESULTS: More severe contamination symptoms predicted greater sharing of details during sexual assault disclosure yet had no impact on sharing of emotions, cognitions, and beliefs during disclosures. Although RESIT suggested that contrary to other content domains, disclosure of social experiences may directionally predict contamination symptoms, this relationship did not retain statistical significance in a linear regression model.

CONCLUSIONS: Findings support the fever model of disclosure and attentional bias theories regarding contamination-related stimuli, and suggest that survivors experiencing postassault contamination symptoms may be more likely fixate on the contamination-invoking details of the trauma memory when disclosing. Such fixation has the potential to interfere with typical treatment-related processes (e.g., habituation) and should be thoughtfully addressed to maximize treatment gains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37199983 | DOI:10.1037/tra0001485

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Nevin Manimala Statistics

Generative visual common sense: Testing analysis-by-synthesis on Mondrian-style image

J Exp Psychol Gen. 2023 May 18. doi: 10.1037/xge0001413. Online ahead of print.

ABSTRACT

The well-known Mondrian-style images, aside from being aesthetically amusing, also reflect the core principles of human vision in their viewing experience. First, when we see a Mondrian-style image consisting only of a grid and primary colors, we may automatically interpret its causal history such that it was generated by recursively partitioning a blank scene. Second, the image we observe is open to many possible ways of partitioning, and their probabilities of dominating the interpretation can be captured by a probabilistic distribution. Moreover, the causal interpretation of a Mondrian-style image can emerge almost spontaneously, not being tailored to any specific task. Using Mondrian-style images as a case study, we demonstrate the generative nature of human vision by showing that a Bayesian model based upon an image-generation task can support a wide range of visual tasks with little retraining. Our model, learned from human-synthesized Mondrian-style images, could predict human performance in the perceptual complexity ranking, capture the transmission stability when images were iteratively passed among participants, and pass a visual Turing test. Our results collectively show that human vision is causal such that we interpret an image from the angle of how it was generated. The success of generalization with little retraining suggests that generative vision constitutes a type of common sense that supports a wide range of tasks of different natures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37199976 | DOI:10.1037/xge0001413

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Nevin Manimala Statistics

The Māori Cultural Embeddedness Scale (MaCES): Initial evidence of structural validity

Cultur Divers Ethnic Minor Psychol. 2023 May 18. doi: 10.1037/cdp0000590. Online ahead of print.

ABSTRACT

OBJECTIVES: The purpose of this article is to introduce a self-report measure of cultural embeddedness for Māori (Māori Cultural Embeddedness Scale [MaCES]), which builds on theoretical and qualitative research on the concept.

METHOD: A total of 548 adults who self-identified as Māori responded to 49 items that were designed to measure aspects of Māori Cultural Values, Beliefs, and Practices. The data were analyzed using confirmatory factor analysis, and invariance was tested through multigroup confirmatory factor analysis.

RESULTS: A total of six items were pruned from the measure for having low loadings on the latent factor, having ambiguous wording, and/or measuring contentious concepts. The remaining 43 items fit the data well when organized by three primary factors (i.e., Values, Beliefs, and Practices), further split into secondary subfactors. We also found that this nuanced subfactor model was invariant to sole/mixed identification as Māori, as well as growing up in urban or rural settings. We found evidence of structural validity for the MaCES, but ongoing validation, including convergent and divergent comparisons to other scales, is required in future work.

CONCLUSIONS: The MaCES is a theoretically derived and statistically sound measure that offers significant research potential for exploring the various ways that embeddedness in Māori culture informs differential outcomes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37199959 | DOI:10.1037/cdp0000590

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Nevin Manimala Statistics

Household chaos as a moderator of the link between parents’ inhibitory control and parenting quality

J Fam Psychol. 2023 May 18. doi: 10.1037/fam0001097. Online ahead of print.

ABSTRACT

This study considered how mothers’ and fathers’ inhibitory control, an aspect of executive functioning (EF) that reflects how well an individual can suppress a dominant response to perform a subdominant response, is associated with observations of their parenting quality when children were 7.5 years old. Furthermore, aspects of the daily home environment may strengthen or undermine parents’ ability to draw on their inhibitory control and exhibit high-quality parenting. Household chaos, including clutter, confusion, and ambient noise, may impair parents’ ability to successfully activate inhibitory control and engage in high-quality parenting. Thus, additional analyses examined whether parents’ perceptions of household chaos moderated associations between inhibitory control and parenting. Data came from a sample of approximately 102 families headed by different-sex parents (n = 99 mothers; n = 90 fathers) of 7.5-year-old children who participated in a study of family development. Findings from multilevel models indicated that inhibitory control predicted greater positive-sensitive parenting in contexts of low household chaos. Associations between inhibitory control and parenting quality were not statistically significant in contexts of average or high household chaos. These findings highlight the importance of considering household chaos and inhibitory control as factors associated with parenting quality for fathers and mothers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37199942 | DOI:10.1037/fam0001097

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Nevin Manimala Statistics

Higher baseline emotion dysregulation predicts treatment dropout in outpatients with borderline personality disorder

Personal Disord. 2023 May 18. doi: 10.1037/per0000627. Online ahead of print.

ABSTRACT

Treatment dropout is high among outpatients with borderline personality disorder (BPD) and is associated with myriad negative therapeutic and psychosocial outcomes. Identifying predictors of treatment dropout can inform treatment provision for this population. The present study investigated whether symptom profiles of static and dynamic factors could predict treatment dropout. Treatment-seeking outpatients with BPD (N = 102) completed pre-treatment measures of BPD symptom severity, emotion dysregulation, impulsivity, motivation, self-harm, and attachment style to determine their collective impact on dropout prior to 6 months of treatment. Discriminant function analysis was used to classify group membership (treatment dropout vs. nondropout) but did not produce a statistically significant function. Groups were distinguished by baseline levels of emotion dysregulation with higher dysregulation predicting premature treatment dropout. Clinicians working with outpatients with BPD might benefit from optimizing emotion regulation and distress tolerance strategies earlier in treatment to reduce premature dropout. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37199933 | DOI:10.1037/per0000627

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Nevin Manimala Statistics

Effect of tumor exosome-derived Lnc RNA HOTAIR on the growth and metastasis of gastric cancer

Clin Transl Oncol. 2023 May 18. doi: 10.1007/s12094-023-03208-3. Online ahead of print.

ABSTRACT

PURPOSE: HOX transcribed antisense RNA (HOTAIR) is a long noncoding RNA (LncRNA) that promotes tumor progression. Exosomes are critically involved in cancer progression. The presence of HOTAIR in the circulating exosomes and the roles of exosomal HOTAIR in gastric cancer (GC) remains unknown. This study aimed to investigate the role of HOTAIR in exosomes in promoting the growth and metastasis of GC.

METHODS: Serum exosomes from GC patients were captured by CD63 immunoliposome magnetic spheres (CD63-IMS), and the biological characteristics of the exosomes were identified. The expression levels of HOTAIR in GC cells, tissues, serum and serum exosomes were detected by fluorescence quantitative PCR (qRT-PCR), and the clinicopathological correlation was statistically analyzed. The growth and metastasis abilities of GC cells with HOTAIR knockdown in vitro were evaluated by cell experiment. The effects of HOTAIR highly-expressed NCI-N87 cell-derived exosomes were used to treat HOTAIR lowly-expressed MKN45 cells on GC growth and metastasis were also evaluated.

RESULTS: The exosomes isolated by CD63-IMS had a particle size of 89.78 ± 4.8 nm and were oval membranous particles. The expression of HOTAIR in tumor tissues and serum of GC patients was increased (P < 0.05), and the expression of HOTAIR in serum exosomes was significantly increased (P < 0.01). The in NCI-N87 and MKN45 cell experiment demonstrated that HOTAIR knockdown by RNA interference suppressed cell growth and metastasis in NCI-N87 cells. Coculture of exosomes secreted by NCI-N87 cells with MKN45 cells significantly increased the expression of HOTAIR, and enhanced cell growth and metastasis.

CONCLUSION: LncRNA HOTAIR can be used as a potential biomarker which provides a new way for the diagnosis and treatment of GC.

PMID:37199906 | DOI:10.1007/s12094-023-03208-3

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Nevin Manimala Statistics

Complete prevalence of primary malignant and non-malignant brain tumors in comparison to other cancers in the United States

Cancer. 2023 May 18. doi: 10.1002/cncr.34837. Online ahead of print.

ABSTRACT

BACKGROUND: Primary brain tumors (BTs) are rare, but cause morbidity and mortality disproportionately to their incidence. Prevalence estimates population-level cancer burdens at a specified time. This study estimates the prevalence of malignant and non-malignant BTs in comparison to other cancers.

METHODS: Incidence data were obtained from the Central Brain Tumor Registry of the United States (2000-2019, varying), a combined data set including the Center for Disease Control and Prevention’s National Program of Cancer Registries and National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program. Incidence of non-BT cancers were obtained from the United States Cancer Statistics (2001-2019). Incidence and survival estimates for all cancers were obtained from SEER (1975-2018). Complete prevalence as of December 31, 2019, was estimated using prevEst. Estimates were generated overall for non-BT cancers, by BT histopathology, age groups at prevalence (0-14, 15-39, 40-64, 65+ years), and sex.

RESULTS: We estimated 1,323,121 individuals with a diagnosis of BTs at the date of prevalence. The majority of BT cases had non-malignant tumors (85.3%). Among all cancers, BTs were the most prevalent cancer type among those ages 15 to 39 years, second among those ages 0 to 14 years, and in the top five among those ages 40 to 64 years. The plurality of prevalent cases (43.5%) occurred among those ages 65+ years. Overall, females had a higher prevalence of BTs than males, with an overall female:male prevalence ratio of 1.68.

CONCLUSIONS: BTs contribute significantly to the cancer burden in the United States, particularly among those younger than age 65 years. Understanding complete prevalence is crucial for monitoring cancer burden to inform clinical research and public policy. We include a comparison of prevalence estimates for all primary brain tumors to other common cancers by age group in the United States. We also provide a description of the complete prevalence of primary malignant and non-malignant brain and other central nervous system tumors in the United States for 2019, an update to a previous study.

PMID:37199898 | DOI:10.1002/cncr.34837

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Nevin Manimala Statistics

Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions

Health Care Manag Sci. 2023 May 18. doi: 10.1007/s10729-023-09639-2. Online ahead of print.

ABSTRACT

During the COVID-19 pandemic, there has been considerable research on how regional and country-level forecasting can be used to anticipate required hospital resources. We add to and build on this work by focusing on ward-level forecasting and planning tools for hospital staff during the pandemic. We present an assessment, validation, and deployment of a working prototype forecasting tool used within a modified Traffic Control Bundling (TCB) protocol for resource planning during the pandemic. We compare statistical and machine learning forecasting methods and their accuracy at one of the largest hospitals (Vancouver General Hospital) in Canada against a medium-sized hospital (St. Paul’s Hospital) in Vancouver, Canada through the first three waves of the COVID-19 pandemic in the province of British Columbia. Our results confirm that traditional statistical and machine learning (ML) forecasting methods can provide valuable ward-level forecasting to aid in decision-making for pandemic resource planning. Using point forecasts with upper 95% prediction intervals, such forecasting methods would have provided better accuracy in anticipating required beds on COVID-19 hospital units than ward-level capacity decisions made by hospital staff. We have integrated our methodology into a publicly available online tool that operationalizes ward-level forecasting to aid with capacity planning decisions. Importantly, hospital staff can use this tool to translate forecasts into better patient care, less burnout, and improved planning for all hospital resources during pandemics.

PMID:37199873 | DOI:10.1007/s10729-023-09639-2