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Nevin Manimala Statistics

Duration of Deep Hypothermic Circulatory Arrest (DHCA) for aortic arch surgery: is it a myth, fiction, or scientific leap?

J Cardiovasc Surg (Torino). 2022 Mar 3. doi: 10.23736/S0021-9509.22.12275-5. Online ahead of print.

ABSTRACT

BACKGROUND: The use of deep hypothermic circulatory arrest (DHCA) to provide aortic surgeons with a bloodless operative field while simultaneously protecting the brain and peripheries from ischaemic damage revolutionised cardiac and aortic surgery, and is currently used in specialist centres across the globe. However, it is associated with manifold adverse outcomes, including neurocognitive dysfunction and mortality. This review seeks to analyse the relationship between DHCA duration and clinical outcome, and evaluate the controversies and limitations surrounding its use.

METHODS: We performed a review of available literature with statistical analysis to evaluate the relationship between DHCA duration (< 40 min and > 40 min) and key clinical outcomes, including mortality, permanent and temporary neurological deficit, renal damage, admission length, and reintervention rate. The controversies surrounding DHCA use and future directions for care are also explored.

RESULTS: Statistical analysis revealed no significant association (P > 0.05) between DHCA duration and clinical outcomes (early and late mortality rates, neurological deficit, admission length, and reintervention rate), both with and without adjunctive perfusion techniques.

CONCLUSIONS: Available literature suggests that the relationships between DHCA duration (with and without adjunctive perfusion) and clinical outcomes are unclear, and at present not statistically significant. Alternative surgical and endovascular techniques have been identified as promising novel approaches not requiring DHCA, as have the use of biomarkers to enable early diagnosis and intervention for aortic pathologies.

PMID:35238523 | DOI:10.23736/S0021-9509.22.12275-5

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Effects of diet on the gut microbiome in patients with depression

Zh Nevrol Psikhiatr Im S S Korsakova. 2022;122(1. Vyp. 2):59-64. doi: 10.17116/jnevro202212201259.

ABSTRACT

OBJECTIVE: To investigate the effects of diet on the gut microbiota and to assess the relationship of these factors with depression.

MATERIAL AND METHODS: Microorganisms that predominate in depressed patients were identified and associations of the identified organisms with the patients’ diet were performed. Fourteen depressed patients and 14 healthy volunteers with the same socio-demographic parameters were included in the study. The Hamilton Depression Scale, Generalized Anxiety Disorder Questionnaire, and the Center for Epidemiologic Studies Questionnaire were used.

RESULTS: Erysipelatoclostridium and Clostridium innocuum species were 11.3 and 14.4 times higher in depressed patients compared with healthy controls. Fusicatenibacter saccharivorans, Faecalibacterium prausnitzii and Roseburia faecis species, as well as members of the genus Roseburia were statistically significantly more abundant in the healthy volunteers group (6.5, 2.14, 8.75 and 5.2 times more frequently compared to patients). The presence of these microorganisms was correlated with dietary components.

CONCLUSION: Our study revealed groups of microorganisms that differ in healthy volunteers and depressed patients. The association of these microorganisms with the diet was shown, which partially confirmed the influence of a «healthy diet» on the development of depressive disorders.

PMID:35238513 | DOI:10.17116/jnevro202212201259

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Nevin Manimala Statistics

Benchmarking the proteomic profile of animal models of mesial temporal epilepsy

Ann Clin Transl Neurol. 2022 Mar 3. doi: 10.1002/acn3.51533. Online ahead of print.

ABSTRACT

OBJECTIVES: We compared the proteomic signatures of the hippocampal lesion induced in three different animal models of mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE+HS): the systemic pilocarpine model (PILO), the intracerebroventricular kainic acid model (KA), and the perforant pathway stimulation model (PPS).

METHODS: We used shotgun proteomics to analyze the proteomes and find enriched biological pathways of the dorsal and ventral dentate gyrus (DG) isolated from the hippocampi of the three animal models. We also compared the proteomes obtained in the animal models to that from the DG of patients with pharmacoresistant MTLE+HS.

RESULTS: We found that each animal model presents specific profiles of proteomic changes. The PILO model showed responses predominantly related to neuronal excitatory imbalance. The KA model revealed alterations mainly in synaptic activity. The PPS model displayed abnormalities in metabolism and oxidative stress. We also identified common biological pathways enriched in all three models, such as inflammation and immune response, which were also observed in tissue from patients. However, none of the models could recapitulate the profile of molecular changes observed in tissue from patients.

SIGNIFICANCE: Our results indicate that each model has its own set of biological responses leading to epilepsy. Thus, it seems that only using a combination of the three models may one replicate more closely the mechanisms underlying MTLE+HS as seen in patients.

PMID:35238489 | DOI:10.1002/acn3.51533

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Nevin Manimala Statistics

Factors affecting transtemporal window quality in transcranial sonography

Brain Behav. 2022 Mar 3:e2543. doi: 10.1002/brb3.2543. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the influencing factors of transtemporal window quality and identify patients suitable for transcranial sonography (TCS) examination in two-dimensional imaging.

METHODS: In this cross-sectional study, TCS was performed in 161 consecutive patients through the temporal bone window (TBW) in the neurology or neurosurgery department. Each patient’s sex, age, height, weight, and temporal bone thickness (TBT) were collected. After examination, the patients were divided into two groups: TBW success and TBW failure. The data were statistically compared between the two groups.

RESULTS: Among the studied population, the total TBW success rate was 80.1% (95% confidence interval [CI]: 74-86). The TBW success rate was 91.4% (95% CI: 85-98) in males and 70.9% (95% CI: 61-81) in females (p = .001). Sex (p = .001), age (p = .002), height (p = .047), and TBT (p < .001) showed significant differences between the TBW success and failure groups. In males, only TBT (p = .001) showed a significant difference; in females, age (p < .001) and TBT (p = .003) showed a significant difference. The area under the receiver operating characteristic curve (AUC) of sex, age, and TBT and their combination was 0.686, 0.659, 0.842, and 0.922 (p < .001), respectively. The AUC of the combination of parameters was significantly greater than that of age and sex alone (p = .007; p = .0002) but not greater than that of TBT (p = .090).

CONCLUSIONS: The TBW success rate varied with sex, age, height, and TBT. Males, younger patients, taller patients, and patients with a thinner temporal bone tended to be more suitable for the examination by TCS.

PMID:35238499 | DOI:10.1002/brb3.2543

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Get insight into the cause of death distribution and epidemiology of penile squamous cell carcinoma: A population-based study

Cancer Med. 2022 Mar 3. doi: 10.1002/cam4.4614. Online ahead of print.

ABSTRACT

BACKGROUND: Penile squamous cell carcinoma (PSCC) survival had no significant improvement since 1990 in the United States. This study aims to get insight into the changing trend and distribution of death causes of PSCC. The epidemiology of PSCC is also investigated.

METHODS: The Surveillance, Epidemiology, and End Results (SEER) (1992-2018) database is utilized to get patients diagnosed with penile squamous cell carcinoma. The trend of incidence, distribution of age, changing trend and distribution of death cause, and survival outcome are analyzed for all PSCC patients and each race.

RESULTS: Three thousand four hundred and twenty-three male patients with PSCC are enrolled in our study. The age-adjusted incidence rate of the white has a slight increase (Annual percent change [APC] = 0.647%). American Indian/Alaska Native men have the highest average annual incidence, while Asian /Pacific Islander men have the lowest. PSCC patients aged 70-80 are the most common, and patients over 80 years have the highest 3-year (50%) and 5-year (63.93%) mortality rate. Non-cancer disease, especially circulatory system disease, is the most common cause of death, whereas the proportion of patients who died of PSCC significantly increased from 21.17% (1992-2001) to 41.3% (2012-2017) in PSCC patients (p < 0.001). These results have not changed significantly when we only focus on primary PSCC without previous malignant tumors. Hispanics are shown better overall survival than non-Hispanic White and non- Hispanic Black men. (p < 0.001) No statistical differences in cancer-specific survival are observed (p = 0.15).

CONCLUSION: The current study provides essential initial data regarding the presentation and clinical outcomes of PSCC patients. Notably, non-cancer disease, especially circulatory system disease, is the more common cause of death than PSCC. However, the proportion of patients who died of penile squamous cell carcinoma has a relatively significant increase in recent years. The increasing trends in the advanced stage of PSCC patients might account for this change.

PMID:35238488 | DOI:10.1002/cam4.4614

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Is sacral neuromodulation effective in patients with Parkinson’s disease? A retrospective review

Neurourol Urodyn. 2022 Mar 3. doi: 10.1002/nau.24900. Online ahead of print.

ABSTRACT

INTRODUCTION AND OBJECTIVE: Parkinson’s disease (PD) is the second-most common degenerative neurologic disease worldwide. Overactive bladder (OAB) is prevalent in this population but can be challenging to treat. Sacral neuromodulation (SNM) is an attractive option but remains understudied. We have utilized SNM in PD patients and herein describe our outcomes.

METHODS: We performed a retrospective chart review of PD patients who underwent peripheral nerve evaluation (PNE) or Stage 1 SNM from 2000 to 2020. The primary outcome was progression to a permanent implant. The impact of PD stage and preprocedural urodynamic (UDS) parameters on test-phase outcome were investigated. Long-term efficacy was assessed using Wilcoxon matched-pairs test looking at a change in urinary symptoms (frequency, nocturia, incontinence episodes, and pad use) documented at follow-up visits and further need for treatment.

RESULTS: Thirty-four patients underwent test phase SNM (7 PNE and 27 Stage 1). Median follow-up was 11 (interquartile range 5.8-29.8) months. Indications included refractory OAB (30/34) and nonobstructive urinary retention (4/34). Overall, 82% (28/34) of patients proceeded to a permanent implant. 71% (5/7) of PNEs were successful. Test-phase success did not differ based on PD disease severity or UDS parameters. In patients with OAB/urgency incontinence who progressed to the permanent implant, there was a statistically significant improvement in their urinary symptoms from baseline. Most (68%) patients were able to discontinue OAB medications post-implant. The overall lead revision rate was 14% (4/28) and 3 devices required removal.

CONCLUSIONS: SNM is an efficacious treatment option for PD patients with a high percentage of patients having improvement in their urinary symptoms.

PMID:35238421 | DOI:10.1002/nau.24900

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Nevin Manimala Statistics

Sequential learning of emotional faces is statistical at 12 months of age

Infancy. 2022 Mar 3. doi: 10.1111/infa.12463. Online ahead of print.

ABSTRACT

Infants are capable of extracting statistical regularities from continuous streams of elements, which helps them structuring their surrounding environment. The current study examines 12-month-olds’ capacity to extract statistical information from a sequence of emotional faces. Using a familiarization procedure, infants were presented with videos of two actresses expressing the same facial emotion, and subsequently turning toward or away from each other. Videos displayed different emotions (i.e., anger, happiness, fear, sadness, surprise, amusement, disgust, and exasperation) and were organized sequentially, so that the transitional probabilities between videos were highly predictable in some cases, and less predictable in others. At test, infants discriminated highly predictable from low predictable transitional probabilities, suggesting that they extracted statistical regularities from the sequence of emotional faces. However, when examining the looking toward and the looking away conditions separately, infants showed evidence of statistical learning in the looking toward condition only. Together, these findings suggest that 12-month-old infants rely on statistical learning to segment a continuous sequence of emotional faces, although this ability can be modulated by the nature of the stimuli. The contribution of statistical learning to structure infants’ social environment is discussed.

PMID:35238464 | DOI:10.1111/infa.12463

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Nevin Manimala Statistics

Vision-related symptoms, accommodative and binocular vision performance in young diabetics vs. normal controls

Ophthalmic Physiol Opt. 2022 Mar 3. doi: 10.1111/opo.12971. Online ahead of print.

ABSTRACT

PURPOSE: To compare accommodative and binocular vision performance between young diabetic subjects and normal controls, and to investigate the correlation of accommodative/binocular indices with the severity of diabetes.

METHODS: Thirty young subjects with diabetes mellitus (DM) and 30 age-matched normal controls were recruited in this hospital-based cross-sectional study. DM was diagnosed by a haemoglobin A1c (HbA1c) higher than 6.5%. The status of vision-related symptoms was examined by the convergence insufficiency symptoms survey (CISS). All participants underwent a complete optometric examination including visual acuity measurement, objective and subjective refraction, accommodative and binocular vision assessments.

RESULTS: All study participants were between 18 and 40 years of age. There were no statistically significant differences in best-corrected visual acuity (BCVA), sphere, cylinder and spherical equivalent refraction (SE) between the diabetes and control groups. The median near point of convergence (NPC) was significantly more remote in diabetics compared with the control group. Mean accommodative amplitude (AA) and vergence facility (VF) and the median monocular accommodative facility (AF) were significantly lower in diabetic subjects compared with normal controls. In addition, the median accommodative lag in the diabetic group was significantly higher than the control group. A significantly higher percentage of the diabetic group were symptomatic (26.6%), compared with the controls (6.6%). The NPC and accommodative lag showed a significant positive correlation with the HbA1c level, while VF, AA and AF exhibited a significant negative correlation with HbA1c.

CONCLUSION: Aspects of accommodative and binocular vision performance are strongly affected by DM. There is also a significant correlation between accommodative and binocular disorders with the severity of DM. A significant percentage of young subjects with DM have severe vision-related symptoms.

PMID:35238412 | DOI:10.1111/opo.12971

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Glycated haemoglobin and the risk of postoperative complications in people without diabetes: a prospective population-based study in UK Biobank

Anaesthesia. 2022 Mar 3. doi: 10.1111/anae.15684. Online ahead of print.

ABSTRACT

The aim of our study was to clarify the association between glycated haemoglobin (HbA1c ) and postoperative outcomes in people without an existing diagnosis of diabetes. Half a million adults were recruited into the UK Biobank prospective cohort study between March 2006 and October 2010. We divided participants into three groups: no diagnosis of diabetes and HbA1c < 42 mmol.mol-1 ; no diagnosis of diabetes and elevated HbA1c (≥ 42 mmol.mol-1 with no upper limit); and prevalent diabetes (regardless of HbA1c concentration) at recruitment. We followed up participants by linkage with routinely collected hospital data to determine any surgical procedures undertaken after recruitment and the associated postoperative outcomes. Our main outcome measure was a composite primary outcome of 30-day major postoperative complications and 90-day all-cause mortality. We used logistic regression to estimate the odds of the primary outcome by group. We limited analyses to those who underwent surgery within one year of recruitment (n = 26,653). In a combined effects logistic regression model, participants not known to have diabetes with HbA1c ≥ 42 mmol.mol-1 had increased odds of the primary outcome (OR [95% CI] 1.43 [1.02-2.02]; p = 0.04), when compared with those without diabetes and HbA1c < 42 mmol.mol-1 . This effect was attenuated and no longer statistically significant in a direct effects model with adjustment for hyperglycaemia-related comorbidity (OR [95% CI] 1.37 [0.97-1.93]; p = 0.07). Elevated pre-operative HbA1c in people without diabetes may be associated with an increased risk of complications, but the association is likely confounded by end-organ comorbidity. In contrast to previous evidence, our findings suggest that to prevent adverse postoperative outcomes, optimisation of pre-existing morbidity should take precedence over reducing HbA1c in people without diabetes.

PMID:35238399 | DOI:10.1111/anae.15684

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Mass Spectrometry Based Metabolomic Analysis as a Tool for Quality Control of Natural Complex Products

Mass Spectrom Rev. 2022 Mar 3. doi: 10.1002/mas.21773. Online ahead of print.

ABSTRACT

Metabolomics is an area of intriguing and growing interest. Since the late 1990s, when the first Omic applications appeared to study metabolite’s pool (“metabolome”), to understand new aspects of the global regulation of cellular metabolism in biology, there have been many evolutions. Currently, there are many applications in different fields such as clinical, medical, agricultural and food. In our opinion, it is clear that developments in metabolomics analysis have also been driven by advances in mass spectrometry (MS) technology. As natural complex products (NCPs) are increasingly used around the world as medicines, food supplements, and substance-based medical devices, their analysis using metabolomic approaches will help to bring more and more rigor to scientific studies and industrial production monitoring. This review is intended to emphasize the importance of metabolomics as a powerful tool for studying NCPs, by which significant advantages can be obtained in terms of elucidation of their composition, biological effects and quality control. The different approaches of metabolomic analysis, the main and basic techniques of multivariate statistical analysis are also briefly illustrated, in order to allow an overview of the workflow associated with the metabolomic studies of NCPs. Therefore, various articles and reviews are illustrated and commented as examples of the application of MS-based metabolomics to NCPs. This article is protected by copyright. All rights reserved.

PMID:35238411 | DOI:10.1002/mas.21773