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Nevin Manimala Statistics

Exponential synchronization of coupled neural networks under stochastic deception attacks

Neural Netw. 2021 Oct 23;145:189-198. doi: 10.1016/j.neunet.2021.10.015. Online ahead of print.

ABSTRACT

In this paper, the issue of synchronization is investigated for coupled neural networks subject to stochastic deception attacks. Firstly, a general differential inequality with delayed impulses is given. Then, the established differential inequality is further extended to the case of delayed stochastic impulses, in which both the impulsive instants and impulsive intensity are stochastic. Secondly, by modeling the stochastic discrete-time deception attacks as stochastic impulses, synchronization criteria of the coupled neural networks under the corresponding attacks are given. Finally, two numerical examples are provided to demonstrate the correctness of the theoretical results.

PMID:34763245 | DOI:10.1016/j.neunet.2021.10.015

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Nevin Manimala Statistics

Evaluating malnutrition in cancer patients in the emergency department

Am J Emerg Med. 2021 Nov 2;51:197-201. doi: 10.1016/j.ajem.2021.10.041. Online ahead of print.

ABSTRACT

BACKGROUND: Malnutrition is an important contributing factor to mortality in cancer patients. Several scoring systems can be used to evaluate malnutrition in cancer patients. We hypothesized that one or more of these scoring systems should be used to assess malnutrition in emergency departments (EDs).

METHODS: This prospective observational study was conducted in the ED of a tertiary care center. From October 1, 2019, to March 31, 2020, we prospectively collected data on cancer patients aged 18 and over who were evaluated in the ED but did not present with any nutrition-related complaint, and not had any prior nutritional support. Malnutrition levels were determined using the Patient-Generated Subjective Global Assessment (PG-SGA1) instrument. The patients were grouped according to the presence and degree of malnutrition (PG-SGA categories A and B vs PG-SGA category C) and their need for nutritional intervention according to the Nutritional Triage Recommendation Scores (NTRS2 < 9 vs NTRS ≥9).

RESULTS: Twelve female (31.5%) and 26 male (68.5%) cancer patients, with a mean age of 70.29 ± 11.49 years, were enrolled in the study. According to the PG-SGA, 84.2% of the patients were at risk for malnutrition, and 97.4% required nutritional intervention. Thirty patients (78.9%) had experienced problems with eating in the preceding two weeks. There were statistically significant differences in these patients’ body mass indexes (BMIs) (25.46 ± 4.3 kg/m2 vs 20.95 ± 3.66 kg/m2, p < 0.05) and ages (64.6 ± 10.5 years vs 74.9 ± 10.3 years, p < 0.05) according to the PG-SGA. There were also statistically significant differences between the patients’ BMIs (25.73 ± 3.51 kg/m2 vs 22.11 ± 4.50 kg/m2, p < 0.05), according to the NTRS. There was no relationship between whether the patients had undergone surgery to remove tumors (p > 0.05), chemotherapy (p > 0.05), or radiotherapy (p > 0.05) according to the PG-SGA and NTRS.

CONCLUSION: Malnutrition is common in cancer patients. These patients may be malnourished even if their BMI is within normal limits. Malnutrition can be detected and evaluated in the ED using instruments such as the PG-SGA. We suggest that evaluation for malnutrition should be a standard component of patient care in the ED.

PMID:34763239 | DOI:10.1016/j.ajem.2021.10.041

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Nevin Manimala Statistics

Assessing local California trends in emergency physician opioid prescriptions from 2012 to 2020: Experiences in a large academic health system

Am J Emerg Med. 2021 Oct 24;51:192-196. doi: 10.1016/j.ajem.2021.10.029. Online ahead of print.

ABSTRACT

OBJECTIVES: There has been increased focus nationally on limiting opioid prescriptions. National data demonstrates a decrease in annual opioid prescriptions among emergency medicine physicians. We analyzed data from 2012 to 2020 from a large academic health system in California to understand trends in opioid prescribing patterns for emergency department (ED) discharged patients and assessed the potential impact of two initiatives at limiting local opioid prescriptions.

METHODS: In 2012-2020, monthly ED visit data was used to evaluate the total number of outpatient opioid prescriptions and percent of ED visits with opioid prescriptions (as primary outcomes). Descriptive statistics, graphic representation, and segmented regression with interrupted times series were used based on two prespecified time points associated with intensive local initiatives directed at limiting opioid prescribing1) comprehensive emergency medicine resident education and 2) electronic health record (EHR)-based intervention.

RESULTS: Between March 2012 and July 2020, a total of 41,491 ED discharged patients received an opioid prescription. The three most commonly prescribed drugs were hydrocodone (84.1%), oxycodone (10.8%), and codeine (2.8%). After implementing comprehensive emergency medicine resident education, the total number of opioid prescriptions, the percentage of opioid prescriptions over total ED visit numbers and the total tablet number showed decreasing trends (p’s ≤ 0.01), in addition to the natural (pre-intervention) decreasing trends. In contrast, later interventions in the EHR tended to show attenuated decreasing trends.

CONCLUSIONS: From 2012 to 2020, we found that total opioid prescriptions decreased significantly for discharged ED patients. This trend is seen nationally. However, our specific interventions further heightened this downward trend. Evidence-based legislation, policy changes, and educational initiatives that impact prescribing practices should guide future efforts.

PMID:34763238 | DOI:10.1016/j.ajem.2021.10.029

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Nevin Manimala Statistics

Findings from a tandem clinician leadership intervention for emergency department cardiac arrest care during the COVID-19 pandemic

Am J Emerg Med. 2021 Oct 24;51:184-191. doi: 10.1016/j.ajem.2021.10.031. Online ahead of print.

ABSTRACT

INTRODUCTION: Cardiopulmonary arrest (CPA) care in the Emergency Department (ED) has had to be modified during the coronavirus disease (COVID-19) pandemic. Scarce literature exists on comfort of clinicians (defined as physicians, nurses & advanced practice providers-APP’s) in these new roles and their perceived understanding of new algorithms.

METHODS: Routine CPA care in our ED was modified during the COVID-19 pandemic. This involved clinicians in shared leadership roles alongside COVID-19 specific changes to CPA algorithms. The new protocol was operationalized through a two-step educational intervention involving didactic education and in-situ simulations. Univariate analyses using student’s t-test assessed effectiveness of this educational intervention with clinician comfort as team leaders and perceived knowledge as primary outcomes on a scale of 1 (strongly disagree) to 5 (strongly agree). Subgroup analysis across physicians (attending & resident), nurses & APP’s were also undertaken with an alpha of 0.05, and p values <0.05 were considered statistically significant. Secondary outcomes of task saturation, procedural safety and error prevention were also analyzed.

RESULTS: Across 83 of 95 total participants, our primary outcome of clinician comfort in the team leader role improved from a mean value of 3.41 (SD: 1.23) pre-intervention to 4.11 (SD: 0.88) with a p-value <0.001 post intervention. Similar and statistically significant findings in clinician comfort were noted across all subgroups except attending physicians and APP’s. Perceived knowledge increased from a mean value of 3.54 (SD: 1.06) pre-intervention to a mean value of 4.24 (SD: 0.67) with a p-value <0.001 post intervention. Similar and statistically significant findings in perceived knowledge were noted across all subgroups except APP’s. Responses were registered in either the strongly agree or agree category with regards to task saturation (89%), procedural safety (93%) and error prevention (71%) across all clinicians post intervention.

CONCLUSION: Our pilot investigation of the effectiveness of an educational intervention of a novel CPA protocol in the ED during the COVID-19 pandemic reached statistical significance with regards to clinician comfort in shared leadership roles and perceived knowledge. These findings suggest that the protocol is rapidly teachable, usable and can be efficiently disseminated across ED clinicians of varying experience, especially in pandemic settings. Further work regarding effectiveness of this new protocol in real life cardiac arrest scenarios is warranted.

PMID:34763237 | DOI:10.1016/j.ajem.2021.10.031

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Nevin Manimala Statistics

Associations between perceived stress and quality of life in gynaecologic cancer patient-family caregiver dyads

Eur J Oncol Nurs. 2021 Oct 21;55:102060. doi: 10.1016/j.ejon.2021.102060. Online ahead of print.

ABSTRACT

PURPOSE: This study aims to explore the level of stress perceived and quality of life (QOL) by gynaecologic cancer (GC) patients and family caregivers’ dyads.

METHODS: In this cross-sectional study, 86 dyads were recruited from the gynaecological oncology department of a general hospital in Taichung City, Taiwan. The patients and family caregivers completed a sociodemographic information sheet, the Perceived Stress Scale, and the Taiwanese version of World Health Organization Quality of Life-BREF questionnaire. Data were analysed using descriptive statistics and Pearson’s correlations. This study used the actor-partner interdependence model (APIM) with distinguishable dyads to examine the effect of patients’ and caregivers’ perceived stress on QOL in patient-caregiver dyads.

RESULTS: GC patients’ and caregivers’ level of QOL was influenced by their own stress level (actor effect). Caregivers’ stress was statistically negatively associated with the patients’ QOL (partner effect); however, there were no partner effect from GC patients to caregivers. Both patients and family caregivers with higher perceived stress had poorer QOL. Therefore, we identified that stress has some level of actor and partner effects on QOL in GC patient-family caregiver dyads.

CONCLUSIONS: Family caregivers’ stress displayed both actor and partner effects within the first year of the cancer diagnosis; therefore, patient-and caregiver-based interventions, such as stress reduction strategies, should be developed to enhance patients’ and caregivers’ QOL and stress management ability.

PMID:34763206 | DOI:10.1016/j.ejon.2021.102060

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Nevin Manimala Statistics

Depression, anxiety, and vital exhaustion are associated with pro-coagulant markers in depressed patients with coronary artery disease – A cross sectional and prospective secondary analysis of the SPIRR-CAD trial

J Psychosom Res. 2021 Oct 28;151:110659. doi: 10.1016/j.jpsychores.2021.110659. Online ahead of print.

ABSTRACT

INTRODUCTION: A hyper-coagulant state is a biological mechanism that triggers cardiac events in patients with coronary artery disease (CAD). Depressive symptoms and anxiety predict an unfavourable course of CAD. The SPIRR-CAD-RCT examined the effects of a psychological intervention and provided the opportunity to explore cross-sectional associations between indices of psychological strain and coagulation parameters, as well as prospective changes in depression scores and coagulation parameters.

METHODS: In this secondary analysis, we investigated 253 CAD patients (194 male; age m 58.9, SD 8.3 yrs.) with mild to moderate depression (≥8 on the HADS-D) at baseline and at follow-up 18 months later: TF, fibrinogen, D-dimer, VWF, FVII and PAI-1 and the course of depression (HAM-D), vital exhaustion (VE) and anxiety scores (HADS-A) were examined by ANOVA in the total and younger age groups (≤ 60).

RESULTS: HAM-D at baseline was correlated with TF (corr. R2 = 0.27; F = 9.31, p = 0.001). HADS anxiety was associated with fibrinogen (corr. R2.20; F = 7.27, p = 0.001). There was no detectable therapeutic effect on coagulation. Fibrinogen and VWF decreased within 18 months (time effect; p = 0.02; p = 0.04), as did HADS-D in both treatment groups (p < 0.001). Fibrinogen decreased more in patients ≤60 years with high VE compared to low VE (interaction time x group, p = 0.01).

CONCLUSIONS: This is the first study to show an association between TF and depression. Coagulation parameters as potential mediators of CAD progression correlated cross-sectionally with depression and anxiety and prospectively with VE. Further studies should replicate these correlations in depressed and non-depressed CAD patients.

ISRCTN: 76240576; clinicaltrials.gov.

PMID:34763203 | DOI:10.1016/j.jpsychores.2021.110659

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Nevin Manimala Statistics

Antibiotic resistance and phylogenetic comparison of human, pet animals and raw milk Staphylococcus aureus isolates

Comp Immunol Microbiol Infect Dis. 2021 Oct 28;79:101717. doi: 10.1016/j.cimid.2021.101717. Online ahead of print.

ABSTRACT

The present study was conducted to compare the S. aureus isolates from different sources in the basis of resistance phenotypic and genotypic features and phylogenetic differences. Total of 70 S. aureus isolates (including 25 human, 25 raw milk and 20 pet animal isolates) were subjected to the antimicrobial susceptibility testing, polymerase chain reaction (PCR) detection of the resistance genes and DNA fingerprinting using random amplification of polymorphic DNA-PCR (RAPD-PCR) to survey the variability of the isolates. Among 70 S. aureus, 55 (78.5%) isolates were MRSA. The isolates showed the highest antibiotic resistance to methicillin, ampicillin and penicillin (78.5%) and showed the lowest resistance to ciprofloxacin (12.8%). ErmB and tetM resistance genes were present in all isolates and the vanA gene was not detected in any of the isolates. Thirteen distinct clusters were identified in RAPD-PCR fingerprinting. Statistical analysis showed that the isolates without resistance to antibiotics were significantly in associated with raw milk origin (P < 0.05). According to the results of the study, S. aureus strains with pets and raw milk origin are significant sources of antibiotic-resistant isolates such as MRSA. They are also carriers of resistance genes that can be transmit to human isolates and cause drug resistance in human infections. Identifying the source of these infections is possible with a reliable genotyping method such as RAPD-PCR.

PMID:34763201 | DOI:10.1016/j.cimid.2021.101717

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Nevin Manimala Statistics

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays

Comput Med Imaging Graph. 2021 Oct 23;94:102008. doi: 10.1016/j.compmedimag.2021.102008. Online ahead of print.

ABSTRACT

The global pandemic of coronavirus disease 2019 (COVID-19) is continuing to have a significant effect on the well-being of the global population, thus increasing the demand for rapid testing, diagnosis, and treatment. As COVID-19 can cause severe pneumonia, early diagnosis is essential for correct treatment, as well as to reduce the stress on the healthcare system. Along with COVID-19, other etiologies of pneumonia and Tuberculosis (TB) constitute additional challenges to the medical system. Pneumonia (viral as well as bacterial) kills about 2 million infants every year and is consistently estimated as one of the most important factor of childhood mortality (according to the World Health Organization). Chest X-ray (CXR) and computed tomography (CT) scans are the primary imaging modalities for diagnosing respiratory diseases. Although CT scans are the gold standard, they are more expensive, time consuming, and are associated with a small but significant dose of radiation. Hence, CXR have become more widespread as a first line investigation. In this regard, the objective of this work is to develop a new deep transfer learning pipeline, named DenResCov-19, to diagnose patients with COVID-19, pneumonia, TB or healthy based on CXR images. The pipeline consists of the existing DenseNet-121 and the ResNet-50 networks. Since the DenseNet and ResNet have orthogonal performances in some instances, in the proposed model we have created an extra layer with convolutional neural network (CNN) blocks to join these two models together to establish superior performance as compared to the two individual networks. This strategy can be applied universally in cases where two competing networks are observed. We have tested the performance of our proposed network on two-class (pneumonia and healthy), three-class (COVID-19 positive, healthy, and pneumonia), as well as four-class (COVID-19 positive, healthy, TB, and pneumonia) classification problems. We have validated that our proposed network has been able to successfully classify these lung-diseases on our four datasets and this is one of our novel findings. In particular, the AUC-ROC are 99.60, 96.51, 93.70, 96.40% and the F1 values are 98.21, 87.29, 76.09, 83.17% on our Dataset X-Ray 1, 2, 3, and 4 (DXR1, DXR2, DXR3, DXR4), respectively.

PMID:34763146 | DOI:10.1016/j.compmedimag.2021.102008

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Nevin Manimala Statistics

One- versus Two-sided statistical tests: A never-ending debate

Anaesth Crit Care Pain Med. 2021 Nov 8:100980. doi: 10.1016/j.accpm.2021.100980. Online ahead of print.

NO ABSTRACT

PMID:34763142 | DOI:10.1016/j.accpm.2021.100980

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Nevin Manimala Statistics

HIV-1 drug resistance among individuals who seroconverted in the ASPIRE dapivirine ring trial

J Int AIDS Soc. 2021 Nov;24(11):e25833. doi: 10.1002/jia2.25833.

ABSTRACT

INTRODUCTION: A potential concern with the use of dapivirine (DPV) for HIV prevention is the selection of a drug-resistant virus that could spread and reduce the effectiveness of non-nucleoside reverse transcriptase (NNRTI)-based first-line antiretroviral therapy. We evaluated HIV-1 seroconversions in MTN-020/ASPIRE for selection of drug resistance and evaluated the genetic basis for observed reductions in susceptibility to DPV.

METHODS: MTN-020/ASPIRE was a placebo-controlled, Phase III safety and effectiveness study of DPV ring for HIV-1 prevention conducted at 15 sites in South Africa, Zimbabwe, Malawi and Uganda between 2012 and 2015. Plasma from individuals who seroconverted in ASPIRE was analysed for HIV-1 drug resistance using both population Sanger sequencing and next-generation sequencing (NGS) with unique molecular identifiers to report mutations at ≥1% frequency. DPV susceptibility of plasma-derived recombinant HIV-1 containing bulk-cloned full-length reverse transcriptase sequences from MTN-020/ASPIRE seroconversions was determined in TZM-bl cells. Statistical significance was calculated using the Fisher’s exact test.

RESULTS: Plasma from all 168 HIV seroconversions were successfully tested by Sanger sequencing; 57 of 71 DPV arm and 82 of 97 placebo (PLB) arm participants had NGS results at 1% sensitivity. Overall, 18/168 (11%) had NNRTI mutations including K101E, K103N/S, V106M, V108I, E138A/G, V179D/I/T and H221Y. Five samples from both arms had low-frequency NNRTI mutations that were not detected by Sanger sequencing. The frequency of NNRTI mutations from the DPV arm (11%) was not different from the PLB arm (10%; p = 0.80). The E138A mutation was detected in both the DPV (3 of 71 [4.2%]) and PLB arm (5 of 97 [5.2%]) and conferred modest reductions in DPV susceptibility in some reverse transcriptase backgrounds but not others.

CONCLUSIONS: HIV-1 drug resistance including NNRTI resistance did not differ between the DPV and placebo arms of the MTN-020/ASPIRE study, indicating that drug resistance was not preferentially acquired or selected by the DPV ring and that the preventive benefit of DPV ring outweighs resistance risk.

PMID:34762770 | DOI:10.1002/jia2.25833