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Nevin Manimala Statistics

Nitrogen dioxide decline and rebound observed by GOME-2 and TROPOMI during COVID-19 pandemic

Air Qual Atmos Health. 2021 Aug 28:1-19. doi: 10.1007/s11869-021-01046-2. Online ahead of print.

ABSTRACT

Since its first confirmed case in December 2019, coronavirus disease 2019 (COVID-19) has become a worldwide pandemic with more than 90 million confirmed cases by January 2021. Countries around the world have enforced lockdown measures to prevent the spread of the virus, introducing a temporal change of air pollutants such as nitrogen dioxide (NO2) that are strongly related to transportation, industry, and energy. In this study, NO2 variations over regions with strong responses to COVID-19 are analysed using datasets from the Global Ozone Monitoring Experiment-2 (GOME-2) sensor aboard the EUMETSAT Metop satellites and TROPOspheric Monitoring Instrument (TROPOMI) aboard the EU/ESA Sentinel-5 Precursor satellite. The global GOME-2 and TROPOMI NO2 datasets are generated at the German Aerospace Center (DLR) using harmonized retrieval algorithms; potential influences of the long-term trend and seasonal cycle, as well as the short-term meteorological variation, are taken into account statistically. We present the application of the GOME-2 data to analyze the lockdown-related NO2 variations for morning conditions. Consistent NO2 variations are observed for the GOME-2 measurements and the early afternoon TROPOMI data: regions with strong social responses to COVID-19 in Asia, Europe, North America, and South America show strong NO2 reductions of 30-50% on average due to restriction of social and economic activities, followed by a gradual rebound with lifted restriction measures.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11869-021-01046-2.

PMID:34484466 | PMC:PMC8397874 | DOI:10.1007/s11869-021-01046-2

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Point-of-care diagnostic lung ultrasound is highly applicable to the practice of medicine in Saudi Arabia but the current skills gap limits its use

Ann Thorac Med. 2021 Jul-Sep;16(3):266-273. doi: 10.4103/atm.ATM_358_20. Epub 2021 Jul 20.

ABSTRACT

CONTEXT: Coronavirus disease 2019 (COVID-19) has put a spotlight on point-of-care diagnostic lung ultrasound (POCDLUS). However, the spectra of respiratory disease and resources available for investigation vary internationally. The applicability of POCDLUS to internal medicine (IM) practice in Saudi Arabia and the current use by Saudi physicians are unknown.

AIMS: The aim of the present study was to determine the applicability of POCDLUS to IM practice in Saudi Arabia and quantify the residents’ current skills, accreditation, and use of POCDLUS.

METHODS: A questionnaire was distributed to the IM residents at our institution to assess their knowledge, use of POCDLUS, and their perceptions of its applicability in IM.

STATISTICAL ANALYSIS: Standard descriptive statistical techniques were used. Categorical data, presented as frequency, were compared using the Chi-squared test. The Likert scale responses, presented as mean ± standard deviation, were compared with a Student’s t-test.

RESULTS: In total, 100 residents participated (response rate 92.6%) and reported that POCDLUS was applicable to their practice. Identifying pleural effusions was most applicable. A small proportion (n = 7) had received training, nine used POCDLUS regularly, none were accredited and the overall self-reported level of knowledge was poor.

CONCLUSIONS: Whilst POCDLUS is applicable to IM practice in Saudi Arabia, the significant skills gap preclude the provision of a POCDLUS service. As COVID-19 can cause an interstitial syndrome, our pandemic preparation response should include POCDLUS training. The current study is supported by a similar Canadian study and the international standardisation of POCDLUS training may be feasible. The findings of the current study may facilitate the development of POCDLUS training programs for internists throughout Saudi Arabia.

PMID:34484442 | PMC:PMC8388563 | DOI:10.4103/atm.ATM_358_20

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Pulmonary neuroendocrine carcinoid tumors: Is there a predictive role to the Ki 67 index?

Ann Thorac Med. 2021 Jul-Sep;16(3):274-279. doi: 10.4103/atm.atm_599_20. Epub 2021 Jul 20.

ABSTRACT

INTRODUCTION: There are several factors predicting evolution in carcinoid tumors (CT) to date including the Ki67 role.

AIMS: The aim of this study is to identify a KI67 cut-off point for a population of CT and determine its prognostic implication in global and disease-free survival.

METHODS: Hematoxylin-eosin slides of 102 CT were revised. The percentage of cells expressing Ki 67 was determined manually.

STATISTICAL ANALYSIS: The variables were compared with the t-test or the Wilcoxon test according to their distribution, the categorical ones with Chi-square or Fisher’s test. The best cut-off point was established by constructing receiver operating characteristic curves, then using that value as a dichotomous variable.

RESULTS: 72 typical carcinoids (TC) and 30 atypical carcinoids (AC) were analyzed; 66% were female. Median age (TC 38 vs. AC 51, P = 0.001), Ki67 expression (TC 0.63 vs. AC 2, P = 0.003), tumor size (TC 2.5 vs. AC 2.6, P = 0.001), the percentage relapse (TC 3.4% vs. AC 23%, P = 0.006), and the number of deaths (TC 1 vs. AC 4, P = 0.042) were significantly higher in the AC subgroup. The best cut-off point for Ki 67 was 0.755 (area under the curve AUC 0.564, 95% confidence interval 0.270-0.857), with no significant differences found in the disease-free and overall survival curves when considering values < or ≥ at the established cut-off point. The best cut-off point of the Ki-67 when exclusively analyzing AC was 1.18. When using this value as a predictive variable, a marginal statistical association was observed between Ki-67 expression, mortality (P = 0.077), and the frequency of relapses (P = 0.054).

CONCLUSIONS: Histological type is the best predictor of prognosis in the carcinoid tumor group. In the AC subgroup, the marginal association between mortality, frequency of relapses and Ki values 67 ≥ 1.18 has clinical relevance future analyses are required to determine the real predictive value of this variable.

PMID:34484443 | PMC:PMC8388565 | DOI:10.4103/atm.atm_599_20

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Small-airway disease and its reversibility in human immunodeficiency virus-infected children on highly active antiretroviral therapy: A cross-sectional study in an African setting

Ann Thorac Med. 2021 Jul-Sep;16(3):253-259. doi: 10.4103/atm.ATM_494_20. Epub 2021 Jul 20.

ABSTRACT

BACKGROUND: Lung function abnormalities may occur in children with human immunodeficiency virus (HIV) infection. Small-airway disease (SAD) precedes abnormalities in forced expiratory volume in 1 s (FEV 1).

OBJECTIVE: This study aims to assess the presence and reversibility of SAD in HIV-infected children using the Global Lung Function Initiative standards.

METHODS: A cross-sectional study was conducted over 6 months at the Paediatric HIV Clinic of the University of Nigeria Teaching Hospital in Enugu, Southeast Nigeria. Eligible consenting children with HIV infection were recruited. Lung function was measured, and the reversibility of FEV1 and forced vital capacity (FVC) was assessed at 12% while that of forced expiratory flow between 25% and 75% (FEF25-75) was assessed at 12%, 15%, and 20%. Predictors of abnormal Z-score values were determined by multivariate linear and logistic regressions. Statistically significant values were set at P < 0.05.

RESULTS: The mean Z-score for FEV1, FVC, and FEF25-75 was – 2.19, -1.86, and – 1.60, respectively. Most patients (73%) had abnormal FEV1, while 52% had abnormal FEF25-75. Significant changes in FEV1 (P = 0.001) and FEF25-75 (P < 0.001) occurred after the bronchodilator response (BDR) test. Of the children whose FEV1 showed positive BDR, 70.9% had low zFEV1; 50% had low zFEF25-75, while all had low FEV1. Nutritional status (Z-score for body mass index) was significantly associated with low FEV1.

CONCLUSIONS: Abnormal FEF25-75 as a marker of SAD and FEV1 with a positive BDR are common in HIV-infected children. These lung function abnormalities justify long-term follow-up for these patients.

PMID:34484440 | PMC:PMC8388566 | DOI:10.4103/atm.ATM_494_20

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Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics» test

Zh Nevrol Psikhiatr Im S S Korsakova. 2021;121(8):45-53. doi: 10.17116/jnevro202112108145.

ABSTRACT

OBJECTIVE: To identify relationships between thrombodynamic values and the severity of the condition in patients with schizophrenia spectrum disorders (SSD) before and after treatment.

MATERIAL AND METHODS: The study included 92 patients in an acute state of schizophrenia or schizotypal disorder, aged 16 to 57 years (median age [Q1; Q3] – 25 years). All patients received complex psychopharmacotherapy adequate to their psychopathological state. The PANSS was used to assess the severity of symptoms in patients. The coagulation parameters were determined by the thrombodynamics test, in which the growth of fibrin clots in platelet free plasma are observed from special activator. The patient population was divided into two groups with weak and strong response to treatment. Data analysis included machine learning (ML) techniques: logistic regression, random forests, decision trees, support vector machines with radial basis functions, statistically weighted syndromes, permutation method.

RESULTS: An analysis using permutation method revealed statistically significant different thrombodynamics values between groups of patients with weak and strong responses. There are significant differences between thrombodynamics values: T1D, T2D, T2Tlag and DTlag, and values characterizing the severity of positive symptoms before and after treatment (T1PposTot, T2PposTot), severity of psychopathological symptoms before treatment (T1Ppsy1, T1Ppsy6, T1Ppsy13). All ML techniques showed the relationship between thrombodynamics values and response to treatment. The best statistical significance was for statistically weighted syndromes method.

CONCLUSION: The combination of the results of different ML techniques at a high level of statistical significance identifies the thrombodynamic predictors of weak effect of treatment of SSD.

PMID:34481435 | DOI:10.17116/jnevro202112108145

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A Water-free 0.1% Cyclosporine A Solution for Treatment of Dry Eye Disease: Results of the Randomized Phase 2B/3 ESSENCE Study

Cornea. 2021 Oct 1;40(10):1290-1297. doi: 10.1097/ICO.0000000000002633.

ABSTRACT

PURPOSE: To assess the efficacy, safety, and tolerability of a topical water-free cyclosporine A formulation (CyclASol 0.1% ophthalmic solution) in comparison with vehicle for the treatment of dry eye disease (DED).

METHODS: Three hundred twenty-eight patients were enrolled in this prospective, 12-week, multicenter, randomized, double-masked, confirmatory, vehicle-controlled clinical study. After a 2-week run-in period, eligible DED patients were randomized 1:1 to either CyclASol 0.1% or vehicle twice daily. The primary efficacy endpoint was change from baseline in total corneal fluorescein staining (National Eye Institute scale), and the second hierarchical primary efficacy endpoint was change from baseline in the Ocular Surface Disease Index score, both at 4 weeks. Secondary efficacy and safety assessments included conjunctival lissamine green staining (Oxford scale), visual analog scales for dry eye symptoms, and adverse event.

RESULTS: Treatment with CyclASol 0.1% was superior to vehicle in the primary endpoint: total corneal fluorescein staining at week 4 (Δ -0.8; 95% confidence interval, -1.3 to -0.4; P = 0.0002, analysis of covariance). This difference had already reached statistical significance after 2 weeks and was maintained throughout the study. The study did not statistically meet its second hierarchically tested primary endpoint: Ocular Surface Disease Index score (P = 0.2634). However, CyclASol 0.1% treatment showed statistically significant improvement compared with that of vehicle in the eye dryness score at week 4 (Δ -4.783; 95% confidence interval, -9.129 to -0.438; P = 0.0311).

CONCLUSIONS: CyclASol 0.1% was effective in treating signs and symptoms of DED. It significantly reduced corneal and conjunctival staining and improved ocular dryness compared with vehicle. CyclASol 0.1% was safe and showed excellent tolerability.

PMID:34481407 | DOI:10.1097/ICO.0000000000002633

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The ABCD Keratoconus Grading System-A Useful Tool to Estimate Keratoconus Progression in the Pediatric Population

Cornea. 2021 Oct 1;40(10):1322-1329. doi: 10.1097/ICO.0000000000002632.

ABSTRACT

PURPOSE: To evaluate the ABCD grading system in pediatric keratoconus.

METHODS: A retrospective cohort analysis of all children with keratoconus followed up at the Shamir medical center between 2010 and 2017. A recommendation by the treating physician to undergo corneal crosslinking (CXL) was used as an estimate for clinically significant disease progression. The ABCD grading was not available to the treating physician and was computed post hoc. The ABCD grading was compared between patients who required CXL with those who did not. A single eye of each patient was included.

RESULTS: Fifty eyes of 50 children were analyzed. The mean age at presentation was 15.56 ± 1.36 years. In 23 eyes, progression of keratoconus was recorded and CXL was performed (CXL-group). On presentation, the stable and CXL groups did not differ significantly in their clinical parameters. In the CXL-group, a statistically significant increase was seen in the ABCD staging (P < 0.001). In the stable group, the ABCD staging did not change significantly in parallel visits (P = 0.87). An increase of 1 point in the sum of the ABCD staging showed a 5-fold risk for undergoing CXL (odds ratio = 5.28; 95% CI, 1.82-15.34). There was no significant change in the Amsler-Krumeich classification in the CXL group.

CONCLUSIONS: Among a cohort of pediatric patients with keratoconus, worsening in the ABCD grading was associated with disease progression, whereas no significant change was demonstrated in the Amsler-Krumeich classification The ABCD grading system is a useful tool for initial assessment of disease progression in the pediatric population, in which early recognition is of paramount importance.

PMID:34481408 | DOI:10.1097/ICO.0000000000002632

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On the reconstruction of magnetic resonance current density images of the human brain: Pitfalls and perspectives

Neuroimage. 2021 Sep 1;243:118517. doi: 10.1016/j.neuroimage.2021.118517. Online ahead of print.

ABSTRACT

Magnetic resonance current density imaging (MRCDI) of the human brain aims to reconstruct the current density distribution caused by transcranial electric stimulation from MR-based measurements of the current-induced magnetic fields. So far, the MRCDI data acquisition achieves only a low signal-to-noise ratio, does not provide a full volume coverage and lacks data from the scalp and skull regions. In addition, it is only sensitive to the component of the current-induced magnetic field parallel to the scanner field. The reconstruction problem thus involves coping with noisy and incomplete data, which makes it mathematically challenging. Most existing reconstruction methods have been validated using simulation studies and measurements in phantoms with simplified geometries. Only one reconstruction method, the projected current density algorithm, has been applied to human in-vivo data so far, however resulting in blurred current density estimates even when applied to noise-free simulated data. We analyze the underlying causes for the limited performance of the projected current density algorithm when applied to human brain data. In addition, we compare it with an approach that relies on the optimization of the conductivities of a small number of tissue compartments of anatomically detailed head models reconstructed from structural MR data. Both for simulated ground truth data and human in-vivo MRCDI data, our results indicate that the estimation of current densities benefits more from using a personalized volume conductor model than from applying the projected current density algorithm. In particular, we introduce a hierarchical statistical testing approach as a principled way to test and compare the quality of reconstructed current density images that accounts for the limited signal-to-noise ratio of the human in-vivo MRCDI data and the fact that the ground truth of the current density is unknown for measured data. Our results indicate that the statistical testing approach constitutes a valuable framework for the further development of accurate volume conductor models of the head. Our findings also highlight the importance of tailoring the reconstruction approaches to the quality and specific properties of the available data.

PMID:34481368 | DOI:10.1016/j.neuroimage.2021.118517

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Cortical surface abnormalities are different depending on the stage of schizophrenia: A cross-sectional vertexwise mega-analysis of thickness, area and gyrification

Schizophr Res. 2021 Sep 1;236:104-114. doi: 10.1016/j.schres.2021.08.011. Online ahead of print.

ABSTRACT

BACKGROUND: Brain magnetic resonance imaging studies have not investigated the cortical surface comprehensively in schizophrenia subjects by assessing thickness, surface area and gyrification separately during the first-episode of psychosis (FEP) or chronic schizophrenia (ChSch).

METHODS: We investigated cortical surface abnormalities in 137 FEP patients and 240 ChSch subjects compared to 297 Healthy Controls (HC) contributed by five cohorts. Maps showing results of vertexwise between-group comparisons of cortical thickness, area, and gyrification were produced using T1-weighted datasets processed using FreeSurfer 5.3, followed by validated quality control protocols.

RESULTS: FEP subjects showed large clusters of increased area and gyrification relative to HC in prefrontal and insuli cortices (Cohen’s d: 0.049 to 0.28). These between-group differences occurred partially beyond the effect of sample. ChSch subjects displayed reduced cortical thickness relative to HC in smaller fronto-temporal foci (d: -0.73 to -0.35), but not beyond the effect of sample. Differences between FEP and HC subjects were associated with male gender, younger age, and earlier illness onset, while differences between ChSch and HC were associated with treatment-resistance and first-generation antipsychotic (FGA) intake independently of sample effect.

CONCLUSIONS: Separate assessments of FEP and ChSch revealed abnormalities that differed in regional distribution, phenotypes affected and effect size. In FEP, associations of greater cortical area and gyrification abnormalities with earlier age of onset suggest an origin on anomalous neurodevelopment, while thickness reductions in ChSch are at least partially explained by treatment-resistance and FGA intake. Associations of between-group differences with clinical variables retained statistical significance beyond the effect of sample.

PMID:34481405 | DOI:10.1016/j.schres.2021.08.011

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Association of the advanced lung cancer inflammation index (ALI) with immune checkpoint inhibitor efficacy in patients with advanced non-small-cell lung cancer

ESMO Open. 2021 Sep 1;6(5):100254. doi: 10.1016/j.esmoop.2021.100254. Online ahead of print.

ABSTRACT

BACKGROUND: The advanced lung cancer inflammation index [ALI: body mass index × serum albumin/neutrophil-to-lymphocyte ratio (NLR)] reflects systemic host inflammation, and is easily reproducible. We hypothesized that ALI could assist guidance of non-small-cell lung cancer (NSCLC) treatment with immune checkpoint inhibitors (ICIs).

PATIENTS AND METHODS: This retrospective study included 672 stage IV NSCLC patients treated with programmed death-ligand 1 (PD-L1) inhibitors alone or in combination with chemotherapy in 25 centers in Greece and Germany, and a control cohort of 444 stage IV NSCLC patients treated with platinum-based chemotherapy without subsequent targeted or immunotherapy drugs. The association of clinical outcomes with biomarkers was analyzed with Cox regression models, including cross-validation by calculation of the Harrell’s C-index.

RESULTS: High ALI values (>18) were significantly associated with longer overall survival (OS) for patients receiving ICI monotherapy [hazard ratio (HR) = 0.402, P < 0.0001, n = 460], but not chemo-immunotherapy (HR = 0.624, P = 0.111, n = 212). Similar positive correlations for ALI were observed for objective response rate (36% versus 24%, P = 0.008) and time-on-treatment (HR = 0.52, P < 0.001), in case of ICI monotherapy only. In the control cohort of chemotherapy, the association between ALI and OS was weaker (HR = 0.694, P = 0.0002), and showed a significant interaction with the type of treatment (ICI monotherapy versus chemotherapy, P < 0.0001) upon combined analysis of the two cohorts. In multivariate analysis, ALI had a stronger predictive effect than NLR, PD-L1 tumor proportion score, lung immune prognostic index, and EPSILoN scores. Among patients with PD-L1 tumor proportion score ≥50% receiving first-line ICI monotherapy, a high ALI score >18 identified a subset with longer OS and time-on-treatment (median 35 and 16 months, respectively), similar to these under chemo-immunotherapy.

CONCLUSIONS: The ALI score is a powerful prognostic and predictive biomarker for patients with advanced NSCLC treated with PD-L1 inhibitors alone, but not in combination with chemotherapy. Its association with outcomes appears to be stronger than that of other widely used parameters. For PD-L1-high patients, an ALI score >18 could assist the selection of cases that do not need addition of chemotherapy.

PMID:34481329 | DOI:10.1016/j.esmoop.2021.100254