Tag: nevin manimala

Cancer Epidemiol. 2021 Apr 2;72:101929. doi: 10.1016/j.canep.2021.101929. Online ahead of print.

ABSTRACT

BACKGROUND: Numbers of patients who develop subsequent primary tumours have markedly increased recently. This study aimed to carry out a comprehensive analysis documenting the risk of incidence of subsequent haematological malignancies.

METHODS: The Czech National Cancer Registry was the main data source, containing records of 126,822 haematological malignancies diagnosed in the period 1977-2016. Subsequent haematological malignancies were identified according to IACR rules. Joinpoint regression was employed to assess the time trends. The risk of development of subsequent haematological malignancy was evaluated by the standardised incidence ratio. The Kaplan-Meier curves were used to assess the differences in survival.

RESULTS: Age-standardised incidence of subsequent haematological malignancies increased from 0.5 in 1977 to 9.1 in 2016. In 1992, there was a significant change in the trend: a sharp increase by 7.7 % annually was revealed thereafter. The risk of development of a haematological malignancy was approximately 1.5 times higher in persons with history of any cancer than in the general Czech population. Patients with haematological malignancies – mainly myelodysplastic syndromes, polycythaemia vera and non-Hodgkin lymphoma – were shown to be at the highest risk of developing a subsequent haematological malignancy. While the median survival following a first haematological malignancy was 2.3 years, it was only 1.1 years for subsequent haematological malignancies (p < 0.001).

CONCLUSIONS: Our study identified the highest-risk diagnoses in terms of development of subsequent haematological malignancy. The results might be useful to set up correctly follow-up procedures from which cancer patients could benefit.

PMID:33819838 | DOI:10.1016/j.canep.2021.101929

Comp Immunol Microbiol Infect Dis. 2021 Mar 27;76:101643. doi: 10.1016/j.cimid.2021.101643. Online ahead of print.

ABSTRACT

The World Health Organization has categorized toxocarosis as a neglected tropical disease despite its significant impact on high-risk groups such as children. This study aimed to investigate the seroprevalence, risk factors, and clinical symptoms of Toxocara spp. infection among children 3-15 years old in northern Iran. A total of 386 children were enrolled in the study. All serum samples were tested for the presence of IgG antibodies against Toxocara spp. infection using an enzyme-linked immunosorbent assay. Moreover, relevant risk factors and clinical symptom data were obtained using questionnaires. Data analysis was performed using the SPSS software version 24. The overall seroprevalence of Toxocara spp. infection was found 2.85 % (11/386). However, Toxocara spp. infection was high for some risk factors, including eating soil (14.3 %), contacting cats (6.7 %), and consuming raw vegetables (3.7 %). However, there were no statistically significant differences regarding the risk factors and socio-demographic characteristics. Considering the clinical symptoms, Toxocara spp. infection was different in children with eosinophilia (20 %), ocular disorders (8.3 %), skin disorders (7.7 %), liver disorders (4.5 %), and stomach ache (4.2 %), although not statistically significant. The results revealed that the seroprevalence of Toxocara spp. infection was relatively low in children in northern Iran. It is suggested to conduct more studies in different parts of Iran to gain a deeper understanding of the toxocarosis seroprevalence and its status in high-risk groups such as children with asthma, hypereosinophilic syndrome, allergic skin disorders, and epilepsy.

PMID:33819773 | DOI:10.1016/j.cimid.2021.101643

Int J Hyg Environ Health. 2021 Apr 2;234:113746. doi: 10.1016/j.ijheh.2021.113746. Online ahead of print.

ABSTRACT

Natural window ventilation is frequently employed in schools in Europe and often leads to inadequate levels of human bioeffluents. However, intervention studies that verify whether recommended ventilation targets can be achieved in practice with reasonable ventilation regimes and that are also suitable for countries with cold winters are practically non-existent. To explore the initial situation in Switzerland we carried out carbon dioxide (CO₂) measurements during the winter in 100 classrooms, most of which (94%) had natural window ventilation. In more than two thirds of those, the hygienic limit value of 2000 ppm specified for CO₂ in the Swiss Standard SN 520180 (2014) was exceeded. To improve ventilation behavior, an intervention was implemented in 23 classrooms during the heating season. Ventilation was performed exclusively during breaks (to avoid discomfort from cold and drafts), efficiently, and only for as long as was necessary to achieve the ventilation objective of compliance with the hygienic limit value (strategic ventilation). The intervention included verbal and written instructions, awareness-raising via a school lesson and an interactive tool for students, which was also used to estimate the required duration of ventilation. CO₂ exposure was significantly reduced in pilot classes (Wilcoxon signed-rank test, p = 3.815e^-06). Median CO₂ levels decreased from 1600 ppm (control group) to 1097 ppm (intervention group), and the average proportion of teaching time at 400-1400 ppm CO₂ increased from 40% to 70%. The duration of ventilation was similar to spontaneous natural window ventilation (+5.8%). Stricter ventilation targets are possible. The concept of the intervention is suitable for immediate adoption in schools with natural window ventilation for a limited period, pending the installation of a mechanical ventilation system. The easy integration of this intervention into everyday school life promotes compliance, which is particularly important during the COVID-19 pandemic.

PMID:33819800 | DOI:10.1016/j.ijheh.2021.113746

Res Vet Sci. 2021 Mar 29;136:464-471. doi: 10.1016/j.rvsc.2021.03.018. Online ahead of print.

ABSTRACT

Diarrhea is the most common cause of mortality and morbidity in dairy calves during the first weeks of life. It is responsible for the majority of costs related to animal death and treatments, as well as lower productivity due to reduced weight gain. Therefore, studies that focus on strategies to reduce diarrhea incidence and to improve animal welfare are very important for the dairy industry. For that reason, the beneficial effects of red propolis on the health status of preweaned dairy calves was studied. Animal disease data usually present incomplete observations of interest time, so-called censored observations and one of the statistical techniques for this modeling type is the survival analysis, hence it is a set of methods for analyzing data where the response variable is the time until the occurrence of an event of interest. We propose among some methods of survival data analysis, the long-term models. The motivation to study these models is the fact that part of the population is not susceptible to the event of interest during the period of the study, considered as immune or cured. In this paper, we studied the Weibull distribution in a structure of long-term model, including the covariates in the proportion of cured through the logistic link function. Besides, we used the residual analysis to check the assumptions of the model. The reason for the choice of the Weibull distribution was that this model is very flexibility to model a variety of data sets, among them animal science and long-term survival data. We illustrate its application with a case study from an animal experiment, which examined the time till the occurrence of diarrhea in Holstein calves, where a proportion of the animals were not susceptible to this health condition. This experiment aimed to verify the efficiency of red propolis in disease prevention and the influence of that on the proportion of animals that are not susceptible to diarrhea.

PMID:33819754 | DOI:10.1016/j.rvsc.2021.03.018

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Mar 22;256:119731. doi: 10.1016/j.saa.2021.119731. Online ahead of print.

ABSTRACT

Diabetes has become a major public health problem worldwide, and the incidence of diabetes has been increasing progressively. Diabetes is prone to cause various complications, among which diabetic keratopathy (DK) emphasizes the significant impact on the cornea. The current diagnosis of DK lacks biochemical markers that can be used for early and non-invasive screening and detection. In contrast, in this study, Raman spectroscopy, which demonstrates non-destructive, label-free features, especially the unique advantage of providing molecular fingerprint information for target substances, were utilized to interrogate the intrinsic information of the corneal tissues from normal and diabetic mouse models, respectively. Visually, the Raman spectral response derived from the biochemical components and biochemical differences between the two groups were compared. Moreover, multivariate analysis methods such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were carried out for advanced statistical analysis. PCA yields a diagnostic results of 57.4% sensitivity, 89.2% specificity, 74.8% accuracy between the diabetic group and control group; Moreover, PLS-DA was employed to enhance the diagnostic ability, showing 76.1% sensitivity, 86.1% specificity, and 87.6% accuracy between the diabetic group and control group. Our proof-of-concept results show the potential of Raman spectroscopy-based techniques to help explore the underlying pathogenesis of DK disease and thus be further expanded for potential applications in the early screening of diabetic diseases.

PMID:33819764 | DOI:10.1016/j.saa.2021.119731

Phytomedicine. 2021 Mar 2;85:153535. doi: 10.1016/j.phymed.2021.153535. Online ahead of print.

ABSTRACT

BACKGROUND: Quality control exerted great importance on the clinical application of drugs for ensuring effectiveness and safety. Due to chemical complexity, diversity among different producing areas and harvest seasons, as well as unintentionally mixed with non-medicinal parts, the current quality standards of traditional Chinese medicine (TCM) still faced challenges in evaluating the overall chemical consistency.

PURPOSE: We aimed to develop a new strategy to discover potential quality marker (Q-marker) of TCM by integrating plant metabolomics and network pharmacology, using Periplocae Cortex (GP, the dried root bark of Periploca sepium Bge.) as an example.

METHODS: First, plant metabolomics analysis was performed by UPLC/Q-TOF MS in 89 batches of samples to discover chemical markers to distinguish medicinal parts (GP) and non-medicinal parts (the dried stem bark of Periploca sepium Bge. (JP)), harvest seasons and producing region of Periplocae Cortex. Second, network pharmacology was applied to explore the initial linkages among chemical constituents, targets and diseases. Last, potential Q-marker were selected by integrating analysis of plant metabolomics and network pharmacology, and the quantification method of Q-marker was developed by using UPLC-TQ-MS.

RESULTS: The chemical profiling of GP and JP was investigated. Fifteen distinguishing features were designated as core chemical markers to distinguish GP and JP. Besides, the content of 4-methoxybenzaldehyde-2-O-β-d-xylopyranosyl-(1→6)-β-d-glucopyranoside could be used to identify Periplocae Cortex harvested in spring-autumn or summer. Meanwhile, a total of 15 components targeted rheumatoid arthritis were screened out based on network pharmacology. Taking absorbed constituents into consideration, 23 constituents were selected as potential Q-marker. A simultaneous quantification method (together with 11 semi-quantitative analysis) was developed and applied to the analysis of 20 batches of commercial Periplocae Cortex on the market. The PLS-DA model was successfully developed to distinguish GP and JP samples. In addition, the artificially mixed GP sample, which contained no less than 10% of the adulterant (JP), could also be correctly identified.

CONCLUSION: Our results indicated that 9 ingredients could be considered as Q-marker of Periplocae Cortex. This study has also demonstrated that the plant metabolomics and network pharmacology could be used as an effective approach for discovering Q-marker of TCM to fulfill the evaluation of overall chemical consistency among samples from different producing areas, harvest seasons, and even those commercial crude drugs, which might be mixed with a small amount of non-medicinal parts.

PMID:33819766 | DOI:10.1016/j.phymed.2021.153535

Appl Radiat Isot. 2021 Mar 31;173:109705. doi: 10.1016/j.apradiso.2021.109705. Online ahead of print.

ABSTRACT

Stream sediment is a useful raw material used for building construction, mostly used in the desert parts of the world. Such sediment is a Naturally Occurring Radioactive Material (NORM), and, hence, it requires a radiological characterization to be used. This work aims to study the natural radioactivity in fifty points distributed in surface of stream sediments in the area of Gabal El Seila region, south-eastern desert of Egypt, since there is a lack of information about the radioactivity levels of the sediment samples from such recent growing interest area. The activity concentration of ²³⁸U, ²³²Th and ⁴ K natural radionuclides using a portable RS-230 γ-ray spectrometer were determined. Mean values are 38.51 ± 10.83, 33.35 ± 8.82, 659.18 ± 110.87 Bq/kg for ²³⁸U, ²³²Th, ⁴ K respectively. Radiological hazard indexes were computed and compared with the UNSCEAR and other worldwide ranges. All the results are statistically presented and discussed. They show that no significant radiation hazard coming from the studied area, with the most values lower than international recommended limits. The achievements of the present study fall within the measurements of natural environmental radiation in an unexplored area of great interest being a desert. The obtained results can be used as database for future research, and as tool for radiological awareness in the use of sediments as raw material.

PMID:33819729 | DOI:10.1016/j.apradiso.2021.109705

J Affect Disord. 2021 Mar 19;287:354-358. doi: 10.1016/j.jad.2021.03.039. Online ahead of print.

ABSTRACT

BACKGROUND: Metrics of journal’s impact factor may suggest the journal’s influence in a particular field, but they have been used inadvertently as a measure of the journal and individual publications’ scientific quality.

METHODS: We assessed how scientific journals in the field of psychiatry and mental health are ranked (top 20) according to the scores of distinct metrics (Eigenfactor score, Google Scholar Metrics, Journal Citation Reports, Scimago Journal & Country Rank, and Source Normalized Impact per Paper), described their main characteristics and perfomed a spearman’s correlation analyses to investigate to which extent these metrics are associated. We also discussed the limitations of dealing with these metrics and the rankings they provide as a proxy of the journal’s quality.

RESULTS: Only 5 (12.5%) journals appear in all metrics (JAMA Psychiatry, American Journal of Psychiatry, Molecular Psychiatry, Schizophrenia Bulletin, and the Journal of Child Psychology and Psychiatry), more than one-third of the journals show up in only one and less than half (42.5%) appear in three or more. Only JAMA Psychiatry is in one of the first five positions of all metrics. No journal ranked in the same position across the metrics. On the other hand, we found the correlations between all the metrics were statistically significant.

LIMITATIONS: The metrics included are not exhaustive.

CONCLUSIONS: Although each metric provides a particular ranking, they are highly correlated. Rankings also change according to distinct subject categories in which they are assessed. We suggest less emphasis should be given to Journal Metrics to infer journal’s quality.

PMID:33819734 | DOI:10.1016/j.jad.2021.03.039

ESMO Open. 2021 Apr 2;6(2):100099. doi: 10.1016/j.esmoop.2021.100099. Online ahead of print.

ABSTRACT

BACKGROUND: The current standard first-line treatment of human epidermal growth factor receptor 2 (HER2)-positive (+) metastatic breast cancer is the combination of pertuzumab, trastuzumab and a taxane (P + T + taxane), while standard second-line is ado-trastuzumab-emtansine (T-DM1). The registration trial of pertuzumab, however, did not include early-relapsing patients, defined as patients experiencing tumor relapse ≤12 months from the end of (neo)adjuvant anti-HER2 therapy. Conversely, the pivotal trial of T-DM1 included some patients relapsing ≤6 months after the end of (neo)adjuvant trastuzumab. Thus, a proportion of early-relapsing patients are currently eligible to receive T-DM1 as first-line treatment. Nevertheless, no direct comparison exists between the two regimens in this clinical setting.

PATIENTS AND METHODS: We retrospectively compared T-DM1 versus P + T + taxane as first-line treatment in two cohorts of early-relapsing patients in an Italian ‘real-world’ setting, involving 14 public health care institutions. The primary endpoint was progression-free survival. Secondary endpoints included patients’ characterization, overall survival and post-progression survival. Univariate and multivariate analyses were carried out. All tests were two-sided and a P ≤ 0.05 was considered statistically significant.

RESULTS: Among 1252 screened patients, 75 met the inclusion criteria. Forty-four (58.7%) received P + T + taxane and 31 (41.3%) received T-DM1. The two cohorts showed similar characteristics of aggressiveness and no significant differences in treatment history. T-DM1, compared with P + T + taxane was associated with worse progression-free survival (adjusted hazard ratio: 2.26, 95% confidence interval: 1.13-4.52, P = 0.021) and overall survival (adjusted hazard ratio: 3.95, 95% confidence interval: 1.38-11.32, P = 0.010), irrespective of previous (neo)adjuvant treatment, age, hormone receptors status, time-to-relapse (≤6 months or within 6-12 months) and presence of visceral/brain metastases. No differences were observed in post-progression survival (P = 0.095).

CONCLUSIONS: Our study suggests superiority for P + T + taxane over T-DM1 as up-front treatment of early-relapsing HER2+ metastatic breast cancer, which merits further assessment in larger and prospective trials.

PMID:33819752 | DOI:10.1016/j.esmoop.2021.100099

J Biomech. 2021 Mar 20;121:110392. doi: 10.1016/j.jbiomech.2021.110392. Online ahead of print.

ABSTRACT

High body mass index (BMI) and obesity have been implicated as risk factors for lumbar degenerative disc disease and low back pain. Despite this, there is limited in vivo data to quantify how obesity influences the mechanical function of intervertebral discs (IVD) in response to activities of daily living. Recently, our lab has developed methodologies to non-invasively measure in vivo IVD deformation resulting from activities of daily living using magnetic resonance (MR) imaging and solid modeling techniques. This pilot study expands on these methodologies to assess how BMI influences IVD deformation following treadmill walking in eight asymptomatic individuals. Ordinary least squares regression analyses revealed a statistically significant relationship between BMI and compressive deformation (strain (%)) in the L5-S1 IVD (R² = 0.61, p < 0.05). This relationship was weaker in the L3-L4 (R² = 0.28, p > 0.05) and L4-L5 IVDs (R² = 0.28, p > 0.05). Importantly, no relationship between pre-exercise disc height and BMI was identified (p > 0.05). Therefore, the results of this study suggest that BMI may alter the mechanical response of lumbar spine IVDs, particularly at the L5-S1 level. Furthermore, the observed relationship between increased BMI and IVD compressive deformation, in the absence of a detected relationship between pre-exercise disc height and BMI, suggests that changes in IVD mechanical function may be more sensitive to alterations in disc health than static clinical imaging alone. This finding highlights the importance of quantifying disc mechanical function when examining the relationship between BMI and IVD degeneration.

PMID:33819699 | DOI:10.1016/j.jbiomech.2021.110392