Category: Nevin Manimala

Atherosclerosis. 2021 Aug 11;334:93-100. doi: 10.1016/j.atherosclerosis.2021.08.005. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Colchicine reduces the risk of cardiovascular events in patients with coronary disease. Colchicine has broad anti-inflammatory effects and part of the atheroprotective effects have been suggested to be the result of NLRP3 inflammasome inhibition. We studied the effect of colchicine on extracellular vesicle (EV) NLRP3 protein levels and inflammatory markers, high sensitivity-CRP (hs-CRP) and interleukin (IL)-6, in patients with chronic coronary disease.

METHODS: In vitro, the NLRP3 inflammasome was stimulated in PMA-differentiated- and undifferentiated THP-1 cells. In vivo, measurements were performed in serum obtained from 278 participants of the LoDoCo2 trial, one year after randomization to colchicine 0.5 mg once daily or placebo. EVs were isolated using precipitation. NLRP3 protein presence in EVs was confirmed using iodixanol density gradient centrifugation. Levels of NLRP3 protein, hs-CRP and IL-6 were measured using ELISA.

RESULTS: In vitro, NLRP3 inflammasome stimulation showed an increase of EV NLRP3 protein levels. EV NLRP3 protein levels were lower in patients treated with colchicine (median 1.38 ng/mL), compared to placebo (median 1.58 ng/mL) (p = 0.025). No difference was observed in serum NLRP3 protein levels. Serum hs-CRP levels were lower in patients treated with colchicine (median 0.80 mg/L) compared to placebo (median 1.34 mg/L) (p < 0.005). IL-6 levels were lower in patients treated with colchicine (median 2.07 ng/L) compared to placebo (median 2.59 ng/L), although this was not statistically significant (p = 0.076).

CONCLUSIONS: Colchicine leads to a reduction of EV NLRP3 protein levels. This indicates that inhibitory effects on the NLRP3 inflammasome might contribute to the atheroprotective effects of colchicine in coronary disease.

PMID:34492522 | DOI:10.1016/j.atherosclerosis.2021.08.005

Comput Biol Med. 2021 Aug 25;137:104777. doi: 10.1016/j.compbiomed.2021.104777. Online ahead of print.

ABSTRACT

Planning for bone tumor resection surgery is a technically demanding and time-consuming task, reliant on manual positioning of cutting planes (CPs). This work describes an automated approach for generating bone tumor resection plans, where the volume of healthy bone collaterally resected with the tumor is minimized through optimized placement of CPs. Particle swarm optimization calculates the optimal position and orientation of the CPs by introducing a single new CP to an existing resection, then optimizing all CPs to find the global minima. The bone bounded by all CPs is collaterally resected with the tumor. The approach was compared to manual resection plans from an experienced surgeon for 20 tumor cases. It was found that a greater number of CPs reduce the collaterally resected healthy bone, with diminishing returns on this improvement after five CPs. The algorithm-generated resection plan with equivalent number of CPs resulted in a statistically significant improvement over manual plans (paired t-test, p < 0.001). The described approach has potential to improve patient outcomes by reducing loss of healthy bone in tumor surgery while offering a surgeon multiple resection plan options.

PMID:34492517 | DOI:10.1016/j.compbiomed.2021.104777

J Clin Lab Anal. 2021 Sep 7:e23996. doi: 10.1002/jcla.23996. Online ahead of print.

ABSTRACT

BACKGROUND: Stroke is the second leading cause of death worldwide with heterogeneous characteristics. The subtypes of stroke are due to different pathophysiological regulations and causes. This study aimed to investigate the correlation of serum levels of apolipoprotein B 48, interleukin-1β and Homocysteine with BMI in patients with ischemic stroke (IS).

METHODS: Over one hundred controls (120) and an equal number of IS patients, including 31 women and 89 men, were recruited to participate in the case-control study conducted at Imam Reza Hospital (Tabriz, Iran) from February 2019 to March 2020. We measured serum levels of apolipoprotein B 48, interleukin-1β, and Homocysteine. Receiver operating characteristic analysis (ROC) was performed to evaluate the diagnostic value of these indices in patients and control groups.

RESULTS: The mean serum levels of apolipoprotein B 48, interleukin-1β, and Homocysteine, were significantly increased in the experimental group compared to the control group with a p-value of 0.001. The ROC curve analysis showed that the area under the curve for apo B48, IL -1β, hs-CRP, and Homocysteine serum levels were 0.94, 0.98, 0.99, and 1, respectively.

CONCLUSIONS: The results of our current study show that the determination of serum levels of apolipoprotein B 48, interleukin-1β, and Homocysteine can potentially be used to monitor and diagnose IS patients. However, there was no statistically significant correlation between serum levels of apolipoprotein B 48, interleukin 1β and Homocysteine and BMI in the patient group. However, there was a statistically significant inverse correlation between serum levels of high-sensitivity C-reactive protein (hs-CRP) and BMI in the patient group.

PMID:34492129 | DOI:10.1002/jcla.23996

Public Health Nurs. 2021 Sep 7. doi: 10.1111/phn.12964. Online ahead of print.

ABSTRACT

OBJECTIVES: This study sought to (1) determine the number of persons evicted from the Durham Housing Authority (DHA) over a 5-year period, (2) explore changes in the number of persons with various medical diagnoses and health care utilization patterns before and after eviction, and (3) examine how many persons evicted from DHA became literally homeless.

DESIGN: This was a pre/post cross-sectional quantitative study.

SAMPLE: Heads of households evicted from DHA properties from January 1, 2013 through December 31, 2017 were included in the study.

MEASUREMENTS: We matched people evicted by the DHA in a university health system electronic health record system to determine changes in diagnoses and health care utilization before and after eviction. We also matched the cohort in the homeless management information system to determine how many persons evicted became literally homeless.

RESULTS: Findings indicate statistically significant increases in persons with medical diagnoses in five of ten categories, total hospital admissions, and emergency department visits after eviction. Of the 152 people included in the study, 34 (22%) became literally homeless.

CONCLUSIONS: Health and health care utilization patterns were different before and after eviction. Implications for clinicians are explored.

PMID:34492122 | DOI:10.1111/phn.12964

Jpn J Clin Oncol. 2021 Sep 8:hyab142. doi: 10.1093/jjco/hyab142. Online ahead of print.

ABSTRACT

OBJECTIVES: To investigate the prognostic impact of tumor burden in patients receiving nivolumab plus ipilimumab as first-line therapy for previously untreated metastatic renal cell carcinoma (mRCC).

METHODS: We retrospectively evaluated 62 patients with IMDC intermediate- or poor-risk mRCC, treated with nivolumab plus ipilimumab as first-line therapy at five affiliated institutions. Tumor burden was defined as the sum of diameters of baseline targeted lesions according to the RECIST version.1.1. We categorized the patients into two groups based on the median value of tumor burden (i.e., high vs. low). The association of tumor burden with progression-free survival (PFS), overall survival (OS) and objective response rate (ORR) with nivolumab plus ipilimumab treatment was analyzed.

RESULTS: The median tumor burden was 63.0 cm (interquartile range: 34.2-125.8). PFS was significantly shorter in patients with high tumor burden (n = 31) than in those with low tumor burden (n = 31) (median: 6.08 [95% CI: 2.73-9.70] vs. 12.5 [4.77-24.0] months, P = 0.0134). In addition, OS tended to be shorter in patients with high tumor burden; however, there was no statistically significant difference (1-year rate: 77.3 vs. 96.7%, P = 0.166). ORR was not significantly different between patients with high and low tumor burden (35 vs. 55%, P = 0.202). Multivariate analysis of PFS further showed that tumor burden was an independent factor (HR: 2.22 [95% CI: 1.11-4.45], P = 0.0242).

CONCLUSIONS: Tumor burden might be a useful factor for outcome prediction, at least for PFS prediction, in patients receiving nivolumab plus ipilimumab for mRCC. Further prospective studies are warranted to confirm our findings.

PMID:34492101 | DOI:10.1093/jjco/hyab142

Biometrics. 2021 Sep 7. doi: 10.1111/biom.13542. Online ahead of print.

NO ABSTRACT

PMID:34492117 | DOI:10.1111/biom.13542

J Crohns Colitis. 2021 Sep 7:jjab155. doi: 10.1093/ecco-jcc/jjab155. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: There is increasing interest in machine learning-based prediction models in inflammatory bowel diseases (IBD). We synthesized and critically appraised studies comparing machine learning vs. traditional statistical models, using routinely available clinical data for risk prediction in IBD.

METHODS: Through a systematic review till January 1, 2021, we identified cohort studies that derived and/or validated machine learning models, based on routinely collected clinical data in patients with IBD, to predict the risk of harboring or developing adverse clinical outcomes, and reported its predictive performance against a traditional statistical model for the same outcome. We appraised the risk of bias in these studies using the Prediction model Risk of Bias ASsessment (PROBAST) tool.

RESULTS: We included 13 studies on machine learning-based prediction models in IBD encompassing themes of predicting treatment response to biologics and thiopurines, predicting longitudinal disease activity and complications and outcomes in patients with acute severe ulcerative colitis. The most common machine learnings models used were tree-based algorithms, which are classification approaches achieved through supervised learning. Machine learning models outperformed traditional statistical models in risk prediction. However, most models were at high risk of bias, and only one was externally validated.

CONCLUSIONS: Machine learning-based prediction models based on routinely collected data generally perform better than traditional statistical models in risk prediction in IBD, though frequently have high risk of bias. Future studies examining these approaches are warranted, with special focus on external validation and clinical applicability.

PMID:34492100 | DOI:10.1093/ecco-jcc/jjab155

PLoS One. 2021 Sep 7;16(9):e0257112. doi: 10.1371/journal.pone.0257112. eCollection 2021.

ABSTRACT

Public health and social interventions are critical to mitigate the spread of the coronavirus disease 2019 (COVID-19) pandemic. Ethiopia has implemented a variety of public health and social measures to control the pandemic. This study aimed to assess social distancing and public health preventive practices of government employees in response to COVID-19. A cross-sectional study was conducted among 1,573 government employees selected from 46 public institutions located in Addis Ababa. Data were collected from 8th to 19th June 2020 using a paper-based self-administered questionnaire and analyzed using SPSS version 23.0. Descriptive statistics were used to summarize the data. Binary logistic regression analyses were used to identify factors associated with outcome variables (perceived effectiveness of facemask wearing to prevent coronavirus infection, and COVID-19 testing). Majority of the participants reported facemask wearing (96%), avoiding close contact with people including handshaking (94.8%), consistently followed government recommendations (95.6%), frequent handwashing (94.5%), practiced physical distancing (89.5%), avoided mass gatherings and crowded places (88.1%), restricting movement and travelling (71.8%), and stayed home (35.6%). More than 80% of the participants perceived that consistently wearing a facemask is highly effective in preventing coronavirus infection. Respondents from Oromia perceived less about the effectiveness of wearing facemask in preventing coronavirus infection (adjusted OR = 0.27, 95% CI:0.17-0.45). About 19% of the respondents reported that they had ever tested for COVID-19. Respondents between 40-49 years old (adjusted OR = 0.41, 95% CI:0.22-0.76) and 50-66 years (adjusted OR = 0.43, 95% CI:0.19-0.95) were less likely tested for coronavirus than the younger age groups. Similarly, respondents from Oromia were less likely to test for coronavirus (adjusted OR = 0.26, 95% CI:0.12-0.56) than those from national level. Participants who were sure about the availability of COVID-19 testing were more likely to test for coronavirus. About 57% of the respondents perceived that the policy measures in response to the pandemic were inadequate. The findings showed higher social distancing and preventive practices among the government employees in response to COVID-19. Rules and regulations imposed by the government should be enforced and people should properly apply wearing facemasks, frequent handwashing, social and physical distancing measures as a comprehensive package of COVID-19 prevention and control strategies.

PMID:34492089 | DOI:10.1371/journal.pone.0257112

PLoS One. 2021 Sep 7;16(9):e0257024. doi: 10.1371/journal.pone.0257024. eCollection 2021.

ABSTRACT

BACKGROUND: Pediculus humanus capitis or head louse is an obligate ectoparasite and its infestation remains a major public health issue worldwide. Molecular analysis divides head lice into six clades and intra-clade genetic differences have been identified. Several hypotheses have been formulated to elucidate the discrepancies of the variety of head lice among different regions of the world. It is currently concluded that head lice distribution might be associated with human migration history. This study aims to investigate genetic data of human head lice in Thailand. We believe that the analysis could help establish the correlation between local and global head lice populations.

METHOD: We investigated mitochondrial cytochrome b (cytb) gene of the collected 214 head lice to evaluate genetic diversity from 15 provinces among 6 regions of Thailand. The head lice genes were added to the global pool for the phylogenetic tree, Bayesian tree, Skyline plot, and median joining network construction. The biodiversity, neutrality tests, and population genetic differentiation among the 6 Thailand geographic regions were analyzed by DNAsp version 6.

RESULTS: The phylogenetic tree analysis of 214 collected head lice are of clade A and clade C accounting for roughly 65% and 35% respectively. The Bayesian tree revealed a correlation of clade diversification and ancient human dispersal timeline. In Thailand, clade A is widespread in the country. Clade C is confined to only the Central, Southern, and Northeastern regions. We identified 50 novel haplotypes. Statistical analysis showed congruent results between genetic differentiation and population migration especially with South Asia.

CONCLUSIONS: Pediculosis remains problematic among children in the rural areas in Thailand. Cytb gene analysis of human head lice illustrated clade distribution and intra-clade diversity of different areas. Our study reported novel haplotypes of head lice in Thailand. Moreover, the statistic calculation provided a better understanding of their relationship with human, as an obligate human parasite and might help provide a better insight into the history of human population migration. Determination of the correlation between phylogenetic data and pediculicide resistance gene as well as residing bacteria are of interest for future studies.

PMID:34492093 | DOI:10.1371/journal.pone.0257024

PLoS One. 2021 Sep 7;16(9):e0257045. doi: 10.1371/journal.pone.0257045. eCollection 2021.

ABSTRACT

BACKGROUND: In the year 2019, around 5 million children under age five died and most of the deaths happened in developing countries. Though large numbers of deaths are reported in such countries, limited availability of data poses a substantial challenge on generating reliable estimates. Hence, this study aims to assess the prevalence and factors associated with under-five mortality in southeastern Ethiopia.

METHODS: A register based cross sectional study was conducted from 1st September 2014 to July 2019 in Asella teaching and referral hospital. A total of 4901 under-five age children registered on the admission and discharge book of pediatric ward with complete information were included for the analysis. Data entry and analysis were conducted using Epidata Version 7 and SPSS version 21, respectively. Descriptive statistics were used to explore the characteristics of the study participants and their condition at discharge. Adjusted Odds Ratio (AOR) with its 95% Confidence interval and P-value less than 5% was used to decide the statistically significant association.

RESULTS: The prevalence of under-five mortality among admitted children in Asella Teaching and Referral hospital was 8.7% (95% CI 7.91-9.50%). Post-Neonatal and Child mortality were found to be 9.1% and 8.18%, respectively. Moreover, large numbers of death (45.2%) were seen within the first 2 days of admission. Address (AOR:1.4(1.08-1.81)), HIV status (AOR:4.64 (2.19-9.8)), severe acute malnutrition (AOR:2.82 (2.03-3.91)), hypovolemic shock (AOR:4.32 (2.31-8.1)), type I diabetes with DKA (AOR:3.53(1.34-9.29) and length of stay in the hospital for ≤2 days (AOR: 4.28 (3.09-5.95)) as well as 3-4 days (AOR: 1.48 (1.02-2.15)) were among the identified predictors.

CONCLUSIONS: Though childhood mortality is swiftly decreasing, and access and utilization of health care is improving in Ethiopia, our study found large prevalence of under-five mortality, 8.7% and higher number of deaths in early days of admission. Improving the quality of service has a paramount importance in reducing the mortality and managing associated factors contributing to under-five mortality among admitted children.

PMID:34492085 | DOI:10.1371/journal.pone.0257045