Outcomes Of Coronavirus Disease 2019 Patients Research Articles

Is elevated blood glucose at admission associated with poor outcomes in hospitalized COVID-19 patients?

Hyperglycemia has been suggested as a risk factor for poor outcomes in coronavirus disease 2019 (COVID-19). The aim of our work was to evaluate the association between blood glucose levels at admission (BGA) and disease outcomes in hospitalized COVID-19 patients. Retrospective study including all adult COVID-19 patients admitted to a Portuguese hospital from March to August 2020 with BGA measurement. Subjects were categorized into two groups: BGA < 140 mg/dL and ≥ 140 mg/dL. Statistical analysis was performed using SPSSv26® (significance defined as p < 0.05). We included 202 patients: median age 74 (60-86) years; 43.1% female; 31.2% with diabetes. The median BGA was 130.5 (108-158) mg/dL. When compared to normoglycemic, patients with BGA ≥ 140 mg/dL were older (p = 0.013), more vaccinated for influenza (p = 0.025) and had more comorbidities (hypertension, heart failure and peripheral arterial disease, p < 0.05). The last group presented higher leucocyte and neutrophile count, higher procalcitonin and prothrombin time, and lower lymphocyte count. Concerning prognosis, BGA ≥ 140 mg/dL was associated with higher rates of mechanical ventilation requirement and intensive care unit admission (p < 0.001), shock (p = 0.011), in-hospital mortality (p = 0.022) and 30-day mortality (p = 0.037). Considering only non-diabetic patients (n = 139), those with hyperglycemia presented higher rates of severity indicators (polypnea, SatO2 ≤ 93% and PaO2/FiO2 ≤ 300) and an association with poor outcomes was also found, namely mechanical ventilation requirement and in-hospital/30-day mortality (p < 0.05). Hyperglycemia at admission was associated with poor outcomes in COVID-19 patients, even in those without known pre-existing diabetes. Glycemic testing should be recommended for all COVID-19 patients.

Clinical Implication and Prognostic Value of Artificial-Intelligence-Based Results of Chest Radiographs for Assessing Clinical Outcomes of COVID-19 Patients.

This study aimed to investigate the clinical implications and prognostic value of artificial intelligence (AI)-based results for chest radiographs (CXR) in coronavirus disease 2019 (COVID-19) patients. Patients who were admitted due to COVID-19 from September 2021 to March 2022 were retrospectively included. A commercial AI-based software was used to assess CXR data for consolidation and pleural effusion scores. Clinical data, including laboratory results, were analyzed for possible prognostic factors. Total O2 supply period, the last SpO2 result, and deterioration were evaluated as prognostic indicators of treatment outcome. Generalized linear mixed model and regression tests were used to examine the prognostic value of CXR results. Among a total of 228 patients (mean 59.9 ± 18.8 years old), consolidation scores had a significant association with erythrocyte sedimentation rate and C-reactive protein changes, and initial consolidation scores were associated with the last SpO2 result (estimate -0.018, p = 0.024). All consolidation scores during admission showed significant association with the total O2 supply period and the last SpO2 result. Early changing degree of consolidation score showed an association with deterioration (odds ratio 1.017, 95% confidence interval 1.005-1.03). In conclusion, AI-based CXR results for consolidation have potential prognostic value for predicting treatment outcomes in COVID-19 patients.

#5044 FLUID BALANCE AND GLOMERULAR FILTRATION RATE AS PREDICTORS OF OUTCOME AMONG COVID-19 PATIENTS IN THE ICU

Abstract Background and Aims Acute kidney injury (AKI) is associated with an increased risk of progression to a severe form in every disease and, moreover, is associated with an increased mortality, and so it is also with coronavirus disease 2019 (COVID-19). AKI is a frequent complication in COVID-19 patients admitted to ICU for severe respiratory failure. ICU treatment itself indirectly could cause or exacerbate renal damage, through suboptimal fluid management, drug toxicity, or low human resources. The aims of this study were to assess AKI prevalence, fluid balance and glomerular filtration rate as a predictor of outcome in COVID-19 patients treated in the intensive care unit. Method We retrospectively analysed all adult patients admitted to the ICU at a regional hospital in northern Bavaria, from 1st March to 31st December 2020. Clinical data and laboratory results were retrospectively retrieved from the hospital information system and electronic case files. According to the severity of AKI based on the KDIGO criteria, and laboratory values were followed on the first 7 days on the ICU. In total 320 patients patients were included in the study. Level of significance was set to p&amp;lt;0.05. Results The mean age was 65 ± 19 years, 135 (42%) patients were females, 185 (58%) were males. Median length of ICU stay was 7 (2-13 days) in females, and 8 days (4- to 21 days) in males. At the ICU, 177 patients needed some form of ventilation, from which 109 (needed Invasive mechanical ventilation). During ICU stay, 81 patients have died, with fatality rate of 25%. Patients with AKI (n=48, 15%) at the admission to the ICU, had 2.1 times higher risk of death at the ICU than patients without AKI. There was a statistically significant difference in ICU survival based on a glomerular filtration rate, fluid balance, CRP and leukocyte values, F=1.957, p=0.026; Wilk's Λ=0.724, partial η2 = 0.276 Conclusion Acute kidney injury is common in coronavirus disease 2019, and it is associated with poor clinical outcomes. Even first couple of days at the ICU could point to the outcome, with markers of inflammation, glomerular filtration rate, and fluid balance being most valuable variables.

Critical COVID-19 patients through first, second, and third wave: retrospective observational study comparing outcomes in intensive care unit.

The time-course of the coronavirus disease 2019 (COVID-19) pandemic was characterized by subsequent waves identified by peaks of intensive care unit (ICU) admission rates. During these periods, progressive knowledge of the disease led to the development of specific therapeutic strategies. This retrospective study investigates whether this led to improvement in outcomes of COVID-19 patients admitted to ICU. Outcomes were evaluated in consecutive adult COVID-19 patients admitted to our ICU, divided into three waves based on the admission period: the first wave from February 25th, 2020, to July 6th, 2020; the second wave from September 20th, 2020, to February 13th, 2021; the third wave from February 14th, 2021 to April 30th, 2021. Differences were assessed comparing outcomes and by using different multivariable Cox models adjusted for variables related to outcome. Further sensitivity analysis was performed in patients undergoing invasive mechanical ventilation (IMV). Overall, 428 patients were included in the analysis: 102, 169, and 157 patients in the first, second, and third wave. The ICU and in-hospital crude mortalities were lower by 7% and 10% in the third wave compared to the other two waves (P>0.05). A higher number of ICU- and hospital-free days at day 90 was found in the third wave when compared to the other two waves (P=0.001). Overall, 62.6% underwent invasive ventilation, with decreasing requirement during the waves (P=0.002). The adjusted Cox model showed no difference in the hazard ratio (HR) for mortality among the waves. In the propensity-matched analysis the hospital mortality rate was reduced by 11% in the third wave (P=0.044). With application of best practice as known by the time of the first three waves of the pandemic, our study failed to identify a significant improvement in mortality rate when comparing the different waves of the COVID-19 pandemic, notwithstanding, the sub-analyses showed a trend in mortality reduction in the third wave. Rather, our study identified a possible positive effect of dexamethasone on mortality rate reduction and the increased risk of death related to bacterial infections in the three waves.

Risk Factors associated with COVID-19 Patients in India: A Single Center Retrospective Cohort Study.

The coronavirus disease 2019 (COVID-19) outbreak has caused a worldwide pandemic, resulting in &gt;3.8 million deaths. Our aim is to identify the risk factors associated with in-hospital mortality using survival analysis considering the characteristics and outcomes of COVID-19 patients admitted to a dedicated tertiary-care hospital in Mumbai, India. In a retrospective cohort study, 565 patients admitted from 28th March 2020 to 30th June 2020 were enrolled, and a follow-up was conducted till August 2020. To investigate the impact of COVID-19, survival analysis was performed using the Kaplan-Meier method. Potential risk factors associated with mortality were analyzed using logistic regression models for multivariate analysis and the Cox proportional hazards model for estimating hazard ratios (HRs). From the 565 positive COVID-19 cases, 49 patients died (8.7%) and 516 (91.3%) were discharged. Overall, 119 patients (20%) required intensive care unit (ICU) admission, of which 70 (58%) patients survived. The Kaplan-Meier survival curve showed a significant association of COVID-19 infection with age (≥60; p = 0.008), hypertension (p = 0.03), dialysis (p = 0.0001), lung commodities (p = 0.01), breathlessness (p = 0.0001), severe disease upon high-resolution computed tomography (HRCT) analysis (p = 0.0001), ICU admission (p = 0.0001), and low lymphocyte count at admission (p = 0.0001). Additionally, patients receiving tocilizumab (p = 0.0001) and deprived of hydroxychloroquine (HCQ) + azithromycin (azee) (p = 0.0001) were estimated at a high risk of mortality. Coronavirus disease 2019 (COVID-19) increased the risk of mortality in patients with increased age, comorbidities, and severe symptoms upon treatment with an immunosuppressant (tocilizumab). However, patients treated with HCQ + azee showed favorable results due to their antiviral effects in vitro.

Association between echocardiographic features and inflammatory biomarkers with clinical outcomes in COVID-19 patients in Saudi Arabia.

Respiratory infections are one of the most common comorbidities identified in hospitalized patients. The coronavirus disease 2019 (COVID-19) pandemic greatly impacted healthcare systems, including acute cardiac services. This study aimed to describe the echocardiographic findings of patients with COVID-19 infections and their correlations with inflammatory biomarkers, disease severity, and clinical outcomes. This observational study was conducted between June 2021 and July 2022. The analysis included all patients diagnosed with COVID-19 who had transthoracic echocardiographic (TTE) scans within 72 h of admission. The enrolled patients had a mean age of 55.6 ± 14.7 years, and 66.1% were male. Of the 490 enrolled patients, 203 (41.4%) were admitted to the intensive care unit (ICU). Pre-ICU TTE findings showed significantly higher incidence right ventricular dysfunction (28 [13.8%] vs. 23 [8.0%]; P = 0.04) and left ventricular (LV) regional wall motion abnormalities (55 [27.1%] vs. 29 [10.1%]; p < 0.001) in ICU patients compared to non-ICU patients. In-hospital mortality was 11 (2.2%), all deaths of ICU patients. The most sensitive predictors of ICU admission (p < 0.05): cardiac troponin I level (area under the curve [AUC] = 0.733), followed by hs-CRP (AUC = 0.620), creatine kinase-MB (AUC = 0.617), D-dimer (AUC = 0.599), and lactate dehydrogenase (AUC = 0.567). Binary logistic regression showed that reduced LV ejection fraction (LVEF), elevated pulmonary artery systolic pressure, and dilated right ventricle were echocardiographic predictors of poor outcomes (p < 0.05). Echocardiography is a valuable tool in assessing admitted patients with COVID-19. Lower LVEF, pulmonary hypertension, higher D-dimer, C-reactive protein, and B-type natriuretic peptide levels were predictors of poor outcomes.

Tocilizumab versus anakinra in COVID-19: results from propensity score matching.

Tocilizumab and anakinra are anti-interleukin drugs to treat severe coronavirus disease 2019 (COVID-19) refractory to corticosteroids. However, no studies compared the efficacy of tocilizumab versus anakinra to guide the choice of the therapy in clinical practice. We aimed to compare the outcomes of COVID-19 patients treated with tocilizumab or anakinra. Our retrospective study was conducted in three French university hospitals between February 2021 and February 2022 and included all the consecutive hospitalized patients with a laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection assessed by RT-PCR who were treated with tocilizumab or anakinra. A propensity score matching was performed to minimize confounding effects due to the non-random allocation. Among 235 patients (mean age, 72 years; 60.9% of male patients), the 28-day mortality (29.4% vs. 31.2%, p = 0.76), the in-hospital mortality (31.7% vs. 33.0%, p = 0.83), the high-flow oxygen requirement (17.5% vs. 18.3%, p = 0.86), the intensive care unit admission rate (30.8% vs. 22.2%, p = 0.30), and the mechanical ventilation rate (15.4% vs. 11.1%, p = 0.50) were similar in patients receiving tocilizumab and those receiving anakinra. After propensity score matching, the 28-day mortality (29.1% vs. 30.4%, p = 1) and the rate of high-flow oxygen requirement (10.1% vs. 21.5%, p = 0.081) did not differ between patients receiving tocilizumab or anakinra. Secondary infection rates were similar between the tocilizumab and anakinra groups (6.3% vs. 9.2%, p = 0.44). Our study showed comparable efficacy and safety profiles of tocilizumab and anakinra to treat severe COVID-19.

Traditional Ayurvedic Formulation in the Management of COVID-19

Coronavirus disease 2019 (COVID-19) is a new infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that belongs to the coronavirus family. The first case was reported in December 2019, and the disease has become a pandemic. Impaired immune regulation is one of the factors that play a role in its pathogenesis and results in poor outcomes of COVID-19 patients. There have been many studies with drug candidates used as antivirals or immunomodulators. However, the results of these investigations showed that the drug candidates were not significantly effective against the disease. Meanwhile, people believe that consuming herbal immunomodulators can prevent or even cure COVID-19. Unfortunately, specific preclinical and clinical trials to evaluate the effects of herbal immunoregulators have not been conducted. Certain natural compounds might be effective for the treatment of COVID-19 based on general concepts from previous experiments. This review discusses some herbal agents extracted from various plants, including Curcuma longa, Cinchona, Ashwagandh aand Lianhuaqingwen, which are considered for the treatment of COVID-19. In addition, we discuss the pros and cons of utilising herbal medicine during the COVID-19 pandemic, draw some conclusions, and make recommendations at the end of the session.

Clinical characteristics and outcome of COVID-19 patients with Parkinson's disease: a hospital-based case-control study in Shanghai, China.

Clinical manifestations of Parkinson's disease (PD) after Corona Virus Disease 2019 (COVID-19) infection are poorly investigated. We aimed to explore the clinical features and outcomes of hospitalized PD patients with COVID-19. A total of 48 PD patients and 96 age-and sex-matched non-PD patients were included. Demographics, clinical characteristics and outcomes were compared between two groups. PD patients with COVID-19 were elderly (76.69 ± 9.21 years) with advanced stage (H-Y stage 3-5 as 65.3%). They had less clinical symptoms (nasal obstruction, etc.), more proportions of severe/critical COVID-19 clinical classification (22.9 vs. 1.0%, p < 0.001), receiving oxygen (29.2 vs. 11.5%, p = 0.011), antibiotics (39.6 vs. 21.9%, p = 0.031) therapies, as well as longer hospitalization duration (11.39 vs. 8.32, p = 0.001) and higher mortality (8.3% vs. 1.0%, p = 0.001) relative to those without PD. Laboratory results showed that the PD group had higher white blood cell counts (6.29 vs. 5.16*109, p = 0.001), neutrophil-to-lymphocyte ratio (3.14 vs. 2.11, p < 0.001) and C-reactive protein level (12.34 vs. 3.19, p < 0.001). PD patients with COVID-19 have insidious clinical manifestation, elevated proinflammatory markers and are prone to the development of severe/critical condition, contributing to a relatively poor prognosis. Early identification and active treatment of COVID-19 are pivotal to advanced PD patients during the pandemic.

The shed P2X7 receptor is an index of adverse clinical outcome in COVID-19 patients.

The pathophysiology of the Corona Virus Disease 2019 (COVID-19) is incompletely known. A robust inflammatory response caused by viral replication is a main cause of the acute lung and multiorgan injury observed in critical patients. Inflammasomes are likely players in COVID-19 pathogenesis. The P2X7 receptor (P2X7R), a plasma membrane ATP-gated ion channel, is a main activator of the NLRP3 inflammasome, of the ensuing release of inflammatory cytokines and of cell death by pyroptosis. The P2X7R has been implicated in COVID-19-dependent hyperinflammation and in the associated multiorgan damage. Shed P2X7R (sP2X7R) and shed NLRP3 (sNLRP3) have been detected in plasma and other body fluids, especially during infection and inflammation. Blood samples from 96 patients with confirmed SARS-CoV-2 infection with various degrees of disease severity were tested at the time of diagnosis at hospital admission. Standard haematological parameters and IL-6, IL-10, IL-1β, sP2X7R and sNLRP3 levels were measured, compared to reference values, statistically validated, and correlated to clinical outcome. Most COVID-19 patients included in this study had lymphopenia, eosinopenia, neutrophilia, increased inflammatory and coagulation indexes, and augmented sNLRP3, IL-6 and IL-10 levels. Blood concentration of sP2X7R was also increased, and significantly positively correlated with lymphopenia, procalcitonin (PCT), IL-10, and alanine transaminase (ALT). Patients with increased sP2X7R levels at diagnosis also showed fever and respiratory symptoms, were more often transferred to Pneumology division, required mechanical ventilation, and had a higher likelihood to die during hospitalization. Blood sP2X7R was elevated in the early phases of COVID-19 and predicted an adverse clinical outcome. It is suggested that sP2X7R might be a useful marker of disease progression.

Outcome of COVID-19 in patients with autoimmune bullous diseases.

Background Data on outcomes of Coronavirus disease 2019 (COVID-19) infection in autoimmune bullous diseases (AIBDs) patients is scarce. Materials and methods This single-centre survey-based-observational study included patients registered in the AIBD clinic of the Postgraduate Institute of Medical Education and Research, Chandigarh, India. All registered patients were contacted over telephone between June and October 2021. A survey was conducted after obtaining informed consent. Results Among 1389 registered patients, 409 completed the survey. Two hundred and twenty-two (55.3%) patients were females and 187 (45.7%) were males. The mean age was 48.52 ± 14.98 years. Active disease was reported by 34% patients. The frequency of COVID-19 infection in responders was 12.2% (50/409), with a case-fatality ratio of 18% (9/50). Rituximab infusion after the onset of pandemic significantly increased the risk of COVID-19 infection. Active AIBD and concomitant comorbidities were significantly associated with COVID-19 related death. Limitation Relative risk of COVID-19 infection and complications among AIBD patients could not be estimated due to lack of control group. The incidence of COVID-19 in AIBD could not be determined due to lack of denominator (source population) data. Other limitations include telephonic nature of the survey and lack of COVID-19 strain identification. Conclusion Use of rituximab is associated with higher probability of COVID-19 infection, while advanced age, active disease and presence of comorbidities may increase the risk of COVID-19 mortality in AIBD patients.

Relationship Between Vocal Fatigue Index and Acoustic Voice Scales in Patients With Coronavirus Infection

The voice quality of patients with Coronavirus Disease 2019 (COVID-19) seems to be affected due to lower and upper respiratory involvement. Patient-based voice assessment scales are important clinical measures to diagnose voice disorders and monitor treatment outcomes in COVID-19 patients. This study compared vocal fatigue between COVID-19 patients and those with normal voices. Furthermore, the relationship between vocal fatigue and acoustic voice parameters of COVID-19 patients was evaluated. This cross-sectional study enrolled 30 laboratory-confirmed patients with COVID-19 (18 males and 12 females) and 30 healthy individuals with normal voices (14 males and 16 females) to compare their respiratory or phonatory parameters. The Persian versions of the Consensus Auditory Perceptual Evaluation of Voice (CAPE-V) and the vocal fatigue index (VFI) were conducted before and after reading the text. The Jitter, shimmer, maximum phonation time, and harmonic-to-noise ratio (HNR) were analyzed by Praat software based on the recorded voices of CAPE-V tasks. The acoustic assessment and VFI questionnaire results were compared between COVID-19 patients and the control group. There were significant differences between COVID-19 patients and their healthy counterparts in all VFI subscales (P<0.001). Moreover, after reading the text, we found significant differences between the two groups regarding Jitter, shimmer, and HNR of /a/ and /i/ vowels (P<0.05). Our findings also indicated a significant correlation between symptom improvement with rest and acoustic parameters in all tasks, except the Jitter of /a/ before reading the text. Patients with COVID-19 showed significantly more vocal fatigue than people with normal voices after reading the text. Moreover, there was a significant relationship between Jitter, shimmer, and HNR and the tiredness of voice and physical discomfort subscales of VFI.

Non-alcoholic fatty liver disease (NAFLD) and COVID-19 outcomes: A systematic review, meta-analysis, and meta-regression.

It is important to identify risk factors for poor outcomes of coronavirus disease 2019 (COVID-19) patients. Currently, the correlation between non-alcoholic fatty liver disease (NAFLD) and COVID-19 outcomes has not been established. This study was conducted to determine the association between NAFLD and in-hospital outcomes of COVID-19 patients. The systematic searches were conducted by using PubMed and the Europe PMC databases and particular keywords were used as of December 10, 2020. Further searches were conducted up to 2022. All articles that include data about COVID-19 and fatty liver disease were collected. Statistical analysis was performed by using Review Manager 5.4 and Comprehensive Meta-Analysis version 3 software. A total of 7,210 COVID-19 patients from 18 studies were included in the final analysis. Meta-analysis revealed that NAFLD increased the risk of developing poor in-hospital outcome (pooled both severe disease and death) in COVID-19 patients (RR 1.42; 95%CI: 1.17-1.73, p<0.001, I2=84%, random-effect modeling). Subgroup analysis however found that having NAFLD only increased the chance of getting severe COVID-19 (RR 1.67; 95%CI: 1.32-2.13, p<0.001, I2=86%, random-effect modeling) and not mortality (RR 1.00; 95%CI: 0.68-1.47, p=0.98, I2=80%, random-effect modeling). Meta-regression suggested that age (p=0.001) and diabetes (p=0.029) were significantly influenced the relationship between NAFLD and in-hospital outcomes of COVID-19 (pooled both severe disease and mortality). The weaker association of NAFLD and in-hospital outcomes of COVID-19 was found for studies with median age ≥45 years old (RR 1.29) when compared to studies with median age <45 years old (RR 2.96). In addition, studies with the prevalence of diabetes ≥25% (RR 1.29) had a weaker association with in-hospital outcomes when compared to studies with diabetes prevalence <25% (RR 1.85). In conclusion, NAFLD increased the risk of chance of getting severe COVID-19 and therefore it should be evaluated closely to reduce the chance of getting severe COVID-19.

In-hospital and Post-discharge Status in COVID-19 Patients With Acute Respiratory Failure Supported With Extracorporeal Membrane Oxygenation.

Few data from Latin American centers on clinical outcomes in coronavirus disease 2019 (COVID-19) patients with acute respiratory distress syndrome who required extracorporeal membrane oxygenation (ECMO) are published. Moreover, clinical and functional status after hospital discharge remains poorly explored in these patients. We evaluated in-hospital outcomes of severe COVID-19 patients who received ECMO support in two Brazilian hospitals. In one-third of the survivors, post-acute COVID-19 syndrome (PACS), quality of life, anxiety, depression, and return to work were evaluated. Eighty-five patients were included and in-hospital mortality was 47%. Age >65 years (HR: 4.8; 95% confidence interval [CI]: 1.4-16.4), diabetes (HR: 6.0; 95% CI: 1.8-19.6), ECMO support duration (HR: 1.08; 95% CI: 1.05-1.12) and dialysis initiated after ECMO (HR: 3.4; 95% CI: 1.1-10.8) were independently associated with higher in-hospital mortality and mechanical ventilation (MV) duration before ECMO was not (HR: 1.18; 95% CI: 0.71-2.09). PACS-related symptoms were reported by two-thirds and half of patients at 30- and 90-days post-discharge, respectively. The median EQ-5D score was 0.85 (0.70-1.00) and 0.77 (0.66-1.00) at 30 and 90 days. Of the 15 responders, all previously working patients, except one, have returned to work at 90 days. In conclusion, in-hospital mortality in a large Latin American cohort was comparable to the Global extracorporeal life support organization registry.

Clinical Profile, Laboratory, Radiology and Outcomes of COVID-19 Patients in Children at Mataram University Hospital

BACKGROUND: Coronavirus disease 2019 (COVID-19) is atypical pneumonia that has spread since December 2019 and named as severe acute respiratory syndrome coronavirus 2. AIM: This study aimed to understand the characteristics of pediatric patients with COVID-19 from the aspect of clinical picture, anthropometric status, and laboratory and radiology findings in Mataram University Hospital. MATERIALS AND METHODS: This qualitative study with descriptive approach. A total of 149 subjects were collected based on the purposive sampling. RESULTS: This study was dominated by female gender (59.1%), age under 12 months old (81.9%), normal body height per age 113 subjects (78.7%), normal body weight per age 117 (78.5%), and normal body weight per body height 94 (63.1%). The clinical findings included cough 47 subjects (31.5%), fever 36 subjects (24.2%), cold 28 subjects (18.8%), and shortness of breath 20 subjects (13.4%). Meanwhile, in physical examination, rhonchi was found in 19 subjects (12.8%), lymphocytosis in 59 subjects (59.1%), leukocytosis in 49 subjects (32.9%), and normal chest radiograph was found in 94 subjects (63.1%). The outcome of patients 80.3% recovered, 19.7% referred, and 0% died. CONCLUSION: The clinical picture of children with COVID-19 at UNRAM Hospital was dominated by cough and fever, normal anthropometric status, leukopenia, normal radiological examination, and mostly patient outcomes were recovered.

Admission Serum Magnesium Levels Is Associated with Short and Long-Term Clinical Outcomes in COVID-19 Patients.

In the face of the global pandemic that the coronavirus disease 2019 (COVID-19) has created, readily available prognostic markers may be of great use. To evaluate the association between serum magnesium (sMg) levels on admission and clinical outcomes in hospitalized COVID-19 patients. We retrospectively analyzed all patients admitted to a single tertiary center with a primary de novo diagnosis of COVID-19. Patients were followed for a mean of 10 ± 7 months. Demographic, clinical and laboratory data were collected and compared between five groups of patients according to sMg quintiles on hospital admission. The cohort included 1522 patients (58% male, 69 ± 17 years old). A low sMg level (1st quintile) was associated with higher rates of diabetes and steroid use, whereas a high sMg level (5th quintile) was associated with dyslipidemia, renal dysfunction, higher levels of inflammatory markers and stay in the intensive care unit. All-cause in-hospital and long-term mortality was higher in patients with both low and high sMg levels, compared with mid-range sMg levels (2nd, 3rd and 4th quintiles; 19% and 30% vs. 9.5%, 10.7% and 17.8% and 35% and 45.3% vs. 23%, 26.8% and 27.3% respectively; p < 0.001 for all). After adjusting for significant clinical parameters indicating severe disease and renal dysfunction, only low sMg state was independently associated with increased mortality (HR = 1.57, p < 0.001). Both low and high sMg levels were associated with increased mortality in a large cohort of hospitalized COVID-19 patients. However, after correction for renal dysfunction and disease severity, only low sMg maintained its prognostic ability.

Impact of Cancerous Pulmonary Involvement on Outcomes in COVID-19 Patients

Background: SARS-CoV2 is a highly contagious virus causing COVID-19 (Corona virus disease 2019), which has resulted in more than 6 million deaths worldwide as of June 2022. Mortality in COVID-19 has mainly been attributed to respiratory failure. Previous studies showed that the presence of cancer did not adversely affect the outcome of COVID-19. However, in our clinical practice, it was noted that in cancer patients with pulmonary involvement, COVID-19-related morbidity, and morbidity were high. Therefore, this study was designed to assess the impact of cancerous pulmonary involvement on COVID-19 outcomes and to compare clinical outcomes of COVID-19 in cancer and non-cancer population, with further discretion between cancers with and without pulmonary involvement. Methods: We performed a retrospective study from April 2020 until June 2020 with a sample size of 117 patients with a confirmed diagnosis of SARS-CoV2 on nasal swab PCR. Data was extracted from HIS (Hospital Information System). Hospitalization, supplemental oxygen, ventilatory support, and death were compared between non-cancer and cancer patients with a particular focus on pulmonary involvement. Results: Admissions, supplemental oxygen requirement, and mortality were significantly higher in cancer patients with pulmonary involvement (63.3%, 36.4%, and 45%, respectively) compared to cancer patients without pulmonary involvement (22.1%, 14.7%, and 8.8% respectively) (p-values: 0.00003, 0.003, and 0.00003 respectively). In the non-cancer group, there was no mortality, only 2% required admission, and none needed supplemental oxygen. Conclusion: We conclude that the cancer patient with pulmonary involvement was significantly at higher risk of complications and death from COVID when compared with the non-pulmonary cancer group and the general population.

C-reactive protein and clinical outcome in COVID-19 patients: the importance of harmonized measurements.

C-reactive protein (CRP) is a cytokine-mediated acute phase reactant with a recognized role in inflammatory conditions and infectious disease. In coronavirus disease 2019 (COVID-19), elevated CRP concentrations in serum were frequently detected and significantly associated with poor outcome in terms of disease severity, need for intensive care, and in-hospital death. For these reasons, the marker was proposed as a powerful test for prognostic classification of COVID-19 patients. In most of available publications, there was however confounding information about how interpretative criteria for CRP in COVID-19 should be derived, including quality of employed assays and optimal cut-off definition. Assuring result harmonization and controlling measurement uncertainty in terms of performance specifications are fundamental to allow worldwide application of clinical information according to specific CRP thresholds and to avoid risk of patient misclassification.

Association of Insulin Resistance Markers TyG Index, Lipid Ratio &amp; Lipid Accumulation Product (LAP) with the Severity and Hospital Outcome of COVID-19 Patients

Introduction: COVID-19 (Corona virus disease 2019) pandemic has been causing significant morbidity &amp; mortality world-wide. Insulin resistance markers such as TyG index, lipid ratio, and LAP have been studied in relation to the severity and hospital outcome of COVID-19 patients. Early diagnosis with severity assessment and optimum supportive care is the mainstay of treatment. Aim of the Study: The aim of this study was to assess the association of insulin resistance markers TyG index, lipid ratios &amp; lipid accumulation product (LAP) with the severity and hospital outcome of COVID-19 patients. Methods: This prospective observational study was carried out in COVID unit of BSMMU (Bangabandhu Sheikh Mujib Medical University) among hospital admitted COVID patients from March 2021 to February 2022. Total 138 COVID-19 patients were enrolled in this study. Result: Majority of patients (27.5%) was in 41-50 years age group and there was male predominance (65.9%). Majority (31.2%) of the study patients were clinically severe. There is significant correlation between disease severity and IR markers with moderate correlation with LDL/HDL and strong correlation with all other IR markers. There was significant correlation between TC/HDL and development of ARDS and &amp; of HFNC with no other significant correlation with other outcomes. There was no significant correlation between LDL/HDL and hospital outcomes. There was significant correlation between TG/HDL and development of ARDS, also with use of rebreather and HFNC. No other significant correlation found with other outcomes. There was significant correlation between TyG index and use of rebreather &amp; development of ARDS. No other significant correlation found with other outcomes. There was significant correlation between LAP and development of ARDS, use of rebreather &amp; HFNC with no other significant correlation with other outcomes. Conclusion: In conclusion, this study found the insulin resistance markers TyG index. .......

Phenotypic changes in low-density lipoprotein particles as markers of adverse clinical outcomes in COVID-19.

Low-density lipoprotein (LDL) plasma concentration decline is a biomarker for acute inflammatory diseases, including coronavirus disease-2019 (COVID-19). Phenotypic changes in LDL during COVID-19 may be equally related to adverse clinical outcomes. Individuals hospitalized due to COVID-19 (n=40) were enrolled. Blood samples were collected on days 0, 2, 4, 6, and 30 (D0, D2, D4, D6, and D30). Oxidized LDL (ox-LDL), and lipoprotein-associated phospholipase A2 (Lp-PLA2) activity were measured. In a consecutive series of cases (n=13), LDL was isolated by gradient ultracentrifugation from D0 and D6 and was quantified by lipidomic analysis. Association between clinical outcomes and LDL phenotypic changes was investigated. In the first 30days, 42.5% of participants died due to Covid-19. The serum ox-LDL increased from D0 to D6 (p<0.005) and decreased at D30. Moreover, individuals who had an ox-LDL increase from D0 to D6 to over the 90th percentile died. The plasma Lp-PLA2 activity also increased progressively from D0 to D30 (p<0.005), and the change from D0 to D6 in Lp-PLA2 and ox-LDL were positively correlated (r=0.65, p<0.0001). An exploratory untargeted lipidomic analysis uncovered 308 individual lipids in isolated LDL particles. Paired-test analysis from D0 and D6 revealed higher concentrations of 32 lipid species during disease progression, mainly represented by lysophosphatidyl choline and phosphatidylinositol. In addition, 69 lipid species were exclusively modulated in the LDL particles from non-survivors as compared to survivors. Phenotypic changes in LDL particles are associated with disease progression and adverse clinical outcomes in COVID-19 patients and could serve as a potential prognostic biomarker.