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1.
Int J Mol Sci ; 24(6)2023 Mar 22.
Article in English | MEDLINE | ID: covidwho-2247885

ABSTRACT

Health care systems worldwide have been battling the ongoing COVID-19 pandemic. Since the beginning of the COVID-19 pandemic, Lymphocytes and CRP have been reported as markers of interest. We chose to investigate the prognostic value of the LCR ratio as a marker of severity and mortality in COVID-19 infection. Between 1 March and 30 April 2020, we conducted a multicenter, retrospective cohort study of patients with moderate and severe coronavirus disease 19 (COVID-19), all of whom were hospitalized after being admitted to the Emergency Department (ED). We conducted our study in six major hospitals of northeast France, one of the outbreak's epicenters in Europe. A total of 1035 patients with COVID-19 were included in our study. Around three-quarters of them (76.2%) presented a moderate form of the disease, while the remaining quarter (23.8%) presented a severe form requiring admission to the ICU. At ED admission, the median LCR was significantly lower in the group presenting severe disease compared to that with moderate disease (versus 6.24 (3.24-12) versus 12.63 ((6.05-31.67)), p < 0.001). However, LCR was neither associated with disease severity (OR: 0.99, CI 95% (0.99-1)), p = 0.476) nor mortality (OR: 0.99, CI 95% (0.99-1)). In the ED, LCR, although modest, with a threshold of 12.63, was a predictive marker for severe forms of COVID-19.


Subject(s)
COVID-19 , Humans , C-Reactive Protein/metabolism , SARS-CoV-2/metabolism , Pandemics , Retrospective Studies , Lymphocytes/metabolism , Emergency Service, Hospital
2.
Toxics ; 11(2)2023 Feb 09.
Article in English | MEDLINE | ID: covidwho-2235688

ABSTRACT

During the COVID-19 pandemic, governments in many countries worldwide, including India, imposed several restriction measures, including lockdowns, to prevent the spread of the infection. COVID-19 lockdowns led to a reduction in gaseous and particulate pollutants in ambient air. In the present study, we investigated the substantial changes in selected volatile organic compounds (VOCs) after the outbreak of the coronavirus pandemic and associations with health risk assessments in industrial areas. VOC data from 1 January 2019 to 31 December 2021 were collected from the Central Pollution Control Board (CPCB) website, to identify percentage changes in VOC levels before, during, and after COVID-19. The mean TVOC levels at all monitoring stations were 47.22 ± 30.15, 37.19 ± 37.19, and 32.81 ± 32.81 µg/m3 for 2019, 2020, and 2021, respectively. As a result, the TVOC levels gradually declined in consecutive years due to the pandemic in India. The mean TVOC levels at all monitoring stations declined from 9 to 61% during the pandemic period as compared with the pre-pandemic period. In the current study, the T/B ratio values ranged from 2.16 (PG) to 26.38 (NL), which indicated that the major pollutant contributors were traffic and non-traffic sources during the pre-pandemic period. The present findings indicated that TVOC levels had positive but low correlations with SR, BP, RF, and WD, with correlation coefficients (r) of 0.034, 0.118, 0.012, and 0.007, respectively, whereas negative correlations were observed with AT and WS, with correlation coefficients (r) of -0.168 and -0.150, respectively. The lifetime cancer risk (LCR) value for benzene was reported to be higher in children, followed by females and males, for the pre-pandemic, pandemic, and post-pandemic periods. A nationwide scale-up of this study's findings might be useful in formulating future air pollution reduction policies associated with a reduction in health risk factors. Furthermore, the present study provides baseline data for future studies on the impacts of anthropogenic activities on the air quality of a region.

3.
International Journal of Medical Biochemistry ; 5(1):34-43, 2022.
Article in English | Scopus | ID: covidwho-2145521

ABSTRACT

Objectives: We retrospectively analyzed COVID-19 patients for clinical and hematologic features and tried to define the most appropriate markers to diagnose and predict the severity. Methods: This is a retrospective cross-sectional study. All 4443 patients included were diagnosed with reverse trancription-polymerase chain reaction between January 1 and December 30, 2020. We classified patients according to their mode of treatment: outpatient, inpatient in the ward, or inpatients in the intensive care unit (ICU). Results: The mean age of 2283 (51.4%) women and 2160 (48.6%) men included in the study was determined to be 39.77±17.30. Of the 4443 patients, 3985 (89.7%) were outpatients, 330 (7.4%) were inpatients, and 128 (2.9%) patients were treated in the ICU. The mean hospital stay was 8.36±4.55 days for the survivors in the ward group and 2.67±1.53 days for those who died (p=0.031). The mean hospitalization time of the survivors in the ICU group was 19.97±12.09 days, and the mean hospitalization time of the deceased was 13.10±9.99 days (p=0.001). Age, ferritin, D-dimer, glucose, ALT, AST, urea, creatinine, CRP, HgA1c, IMG, IMG%, and RDW-SD showed a gradual and significant increase in outpa-tient, ward, and ICU groups (p<0.001). Na, K, Neu, Neu%, MCV, RDW-CV, MPV, NLR, PLR, and NMR increased gradually from the outpatient group to the service and ICU groups, whereas Ca, RBC, Hgb, and Hct values decreased significantly (p<0.001). WBC, lymph%, and RDW were highest in the ICU group. Conclusion: Advanced age and being male are important risk factors for hospitalization. Indexes such as NLR, PLR, LCR, NMR, and LMR can be used to predict the severity of the disease. © 2022, Kare Publishing. All rights reserved.

4.
Metabolites ; 12(6)2022 Jun 15.
Article in English | MEDLINE | ID: covidwho-1903387

ABSTRACT

Angiotensin-converting enzyme 2 (ACE2) has been identified as the cellular entry receptor for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). High ACE2 tissue expression and low glycine levels were suggested to increase susceptibility for SARS-CoV-2 infection and increasing circulating ACE2 has been proposed as one possible strategy to combat COVID-19. In humans, aerobic physical exercise induces an increase in plasma ACE2 in some individuals. However, it is not clear whether glycine and ACE2 levels depend on intrinsic exercise capacity or on exercise training. We used rats selectively bred for high intrinsic exercise capacity (HCR) or low exercise capacity (LCR) and tested the influence of this genetic predetermination and/or aerobic exercise on metabolites, ACE2 tissue expression and circulating ACE 2. ACE2 expression was measured in different tissues in the sedentary animals and again after 4 weeks of high-intensity aerobic exercise in both LCRs and HCRs. Sedentary HCRs exhibited significantly higher circulating ACE2 concentrations compared to LCRs, but a lower expression of ACE2 in all investigated tissues except for adipose tissue. Body weight was negatively correlated with serum ACE2 and positively correlated with ACE2 expression in the heart. Aerobic exercise caused a significant decrease in ACE2 expression in the lung, heart, muscle, and kidney both in LCRs and HCRs. Our results suggest that ACE2 expression, circulating ACE2 and glycine serum concentration are related to aerobic intrinsic exercise capacity and can be influenced with exercise. These results may support the hypothesis that physically fit individuals have a lower susceptibility for COVID-19 infection.

5.
J Med Virol ; 93(9): 5555-5559, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1363698

ABSTRACT

We aimed to find the most useful biomarker by examining the prognostic effect of neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), and lymphocyte-C reactive protein ratio (LCR) in patients with coronavirus disease 2019 (COVID-19). Three hundred and four patients diagnosed with COVID-19 infection in our hospital within 5 months (April-August 2020) were examined. Laboratory values and demographic findings of the patients were analyzed retrospectively. Thirty-six patients were diagnosed with severe cases. The ratio of NLR, LMR, PLR, and LCR of patients with severe and those with nonsevere clinical symptoms were statistically analyzed. The NLR and PLR ratios of those with severe clinical symptoms were significantly higher (p < 0.001), the LCR rate was significantly lower (p < 0.001), and there was no significant difference in the LMR rate (p = 0.199). When we examined other peripheral blood parameters, we found that CRP was high, lymphocyte and monocyte were low (p < 0.001), but neutrophil (p = 0.416) and platelet (p = 0.998) were not statistically different between the groups. According to the results, routine blood values are abnormal in patients with COVID-19. NLR, PLR, and LCR ratios can be used as more significant biomarkers than other values in predicting the prognosis of patients.


Subject(s)
Blood Platelets , COVID-19/blood , Lymphocytes , Monocytes , Neutrophils , SARS-CoV-2 , Adult , Aged , Biomarkers/blood , C-Reactive Protein/analysis , Female , Humans , Male , Middle Aged , Monocytes/metabolism , Prognosis , Retrospective Studies
6.
J Clin Med Res ; 12(7): 415-422, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-643282

ABSTRACT

BACKGROUND: Systemic inflammation elicited by a cytokine storm is considered a hallmark of coronavirus disease 2019 (COVID-19). This study aims to assess the validity and clinical utility of the lymphocyte-to-C-reactive protein (CRP) ratio (LCR), typically used for gastric carcinoma prognostication, versus the neutrophil-to-lymphocyte ratio (NLR) for predicting in-hospital outcomes in COVID-19. METHODS: A retrospective cohort study was performed to determine the association of LCR and NLR with the need for invasive mechanical ventilation (IMV), dialysis, upgrade to an intensive care unit (ICU) and mortality. Independent t-test and multivariate logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aORs) with its 95% confidence interval (CI), respectively. RESULTS: The mean age for NLR patients was 63.6 versus 61.6, and for LCR groups, it was 62.6 versus 63.7 years, respectively. The baseline comorbidities across all groups were comparable except that the higher LCR group had female predominance. The mean NLR was significantly higher for patients who died during hospitalization (19 vs. 7, P ≤ 0.001) and those requiring IMV (12 vs. 7, P = 0.01). Compared to alive patients, a significantly lower mean LCR was observed in patients who did not survive hospitalization (1,011 vs. 632, P = 0.04). For patients with a higher NLR (> 10), the unadjusted odds of mortality (odds ratios (ORs) 11.0, 3.6 - 33.0, P < 0.0001) and need for IMV (OR 3.3, 95% CI 1.4 - 7.7, P = 0.008) were significantly higher compared to patients with lower NLR. By contrast, for patients with lower LCR (< 100), the odds of in-hospital all-cause mortality were significantly higher compared to patients with a higher LCR (OR 0.2, 0.06 - 0.47, P = 0.001). The aORs controlled for baseline comorbidities and medications mirrored the overall results, indicating a genuinely significant correlation between these biomarkers and outcomes. CONCLUSIONS: A high NLR and decreased LCR value predict higher odds of in-hospital mortality. A high LCR at presentation might indicate impending clinical deterioration and the need for IMV.

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