Prognosis Of Coronavirus Disease 2019 Research Articles

Integrated Analysis of Noncoding RNAs (PVT-1 and miR-200c) and Their Correlation with STAT4/IL-6 Axis as Reliable Biomarkers for COVID-19 Severity.

Inefficient control of elevated inflammatory mediators in coronavirus disease 2019 (COVID-19) has led to health complications, prompting the exploration of efficient biomarkers for monitoring this condition. We herein sought to investigate the implications of plasmacytoma variant translocation 1 (PVT-1), microRNA-200c (miR-200c), signal transducer and activator of transcription 4 (STAT-4), and interleukin-6 (IL-6), as well as how they correlated with creatinine, C-reactive protein (CRP), and lactate dehydrogenase (LDH) activity to identify biomarkers able to the early prognosis and diagnosis of COVID-19. Our study included a total of 105 infected COVID-19 patients and 35 healthy subjects as controls. Individuals with COVID-19 showed a significant increase in CRP, creatinine, and LDH activity. In addition, COVID-19 patients exhibited significantly higher levels of IL-6. These patients also demonstrated notably elevated expressions of miR-200c and PVT-1. The expression level of STAT4 decreased in the COVID-19 patients, and this decrease was negatively correlated with creatinine and LDH activity. The levels of miR-200c and PVT-1 expressions, and their connections with IL-6 and STAT4 levels, increased significantly with the severity of COVID-19 cases. In addition, receiver operating characteristic analysis showed that PVT-1 and miR-200c could be reliable biomarkers for determining the severity of COVID-19.

Novel tools for evaluating COVID-19 at the emergency department: Surfactant protein D level and CHARISMA score

ObjectivesTo investigate the serum surfactant protein D (SP-D) level required to determine the diagnosis and prognosis of coronavirus disease 2019 (COVID-19), and create a new scale for disease prognosis prediction. MethodsThis study was conducted among 64 patients with COVID-19 symptoms and 16 healthy volunteers. The participants were assessed by comparing “Controls/Patients”, “PCR-negative/PCR-positive”, “Simple COVID-19/Acute respiratory distress syndrome (ARDS)-accompanied COVID-19”, “Mild ARDS/Moderate-severe ARDS”, and “Survived/Dead” subgroups. Serum SP-D levels and pulmonary infiltration area (volume and percentage) measurements on CT were compared between the groups. A new scale, the “CHARISMA Score”, was created by logistic regression method for a complete prognosis assessment. This includes confusion, heart rate, age, respiratory rate, percentage of infiltration on CT, serum SP-D level, mean arterial pressure and SaO2. ResultsSerum SP-D levels differed significantly across the groups. There was a strong correlation between SP-D levels and infiltration volumes. CHARISMA scores were higher in the severe than in the mild ARDS group and in patients who died than in survivors. In the receiver operating characteristic curve analysis of the CHARISMA scores, a cutoff value of 4 indicated mortality. ConclusionSerum SP-D levels can be used to determine COVID-19 diagnosis and prognosis, and the CHARISMA score can be used to predict prognosis and mortality risk in patients with COVID-19 pneumonia.

Prognostic significance of oxygen saturation/fraction of inspired oxygen 3 days after initiation of tocilizumab treatment in patients with COVID-19

BackgroundTocilizumab is effective in treating severe coronavirus disease 2019 (COVID-19). However, the specific time point it acts as a valid indicator of treatment efficacy remains unclear. This study aimed to determine the optimal day for assessing the prognostic value of the oxygen saturation/fraction of inspired oxygen (SpO2/FiO2) and ratio of respiratory rate-oxygenation (ROX) index in patients receiving tocilizumab for COVID-19. MethodsAll patients admitted to our hospital from March 2020 to July 2021 who received tocilizumab for COVID-19 were retrospectively identified from hospital charts. Biodata, medical history, and laboratory tests results were obtained from medical records. The prognostic values of the SpO2/FiO2 and ROX index for predicting mortality were assessed. Cox proportional hazard and receiver operating characteristic curve models were utilized. ResultsOf the 84 included patients, 34 died within 7 days after discharge. The patients who recovered had a mean age of 65 years and were younger than those who died. The multivariate analysis indicated that multiple comorbidities, cancer history, CURB-65 score, neutrophil and lymphocyte counts, neutrophil/lymphocyte ratio, and lactate dehydrogenase levels were higher in those who died compared with those who survived. No significant differences were found in dyspnea or total bilirubin levels between the two groups. The SpO2/FiO2 at 3 days post-tocilizumab initiation was strongly associated with survival. ConclusionsThe SpO2/FiO2 on day 3 post-tocilizumab initiation was a predictor of COVID-19 prognosis, which could be employed in determining clinical decisions. Prompt alternative interventions should be considered when this ratio does not improve.

Long-term intermittent oral administration of selective COX-2 inhibitor improved the clinical outcomes of COVID-19 in patients with cirrhosis.

Patients with cirrhosis are more susceptible to coronavirus disease 2019 (COVID-19) due to immune dysfunction. In this retrospective study we aimed to investigate whether suppression of mild systemic inflammation with selective cyclooxygenase-2 inhibitor (COX-2-I) during chronic care of cirrhotic patients would reduce the occurrence of acute decompensated events and improve patient prognosis of COVID-19. Medical records of cirrhotic patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were sequentially reviewed. The patients were divided into the COX-2-I and control groups depending on whether they took oral selective COX-2-I for over 3 months or not. The primary outcomes included the occurrence of severe/critical COVID-19, acute decompensated events, and acute-on-chronic liver failure (ACLF). After propensity score matching analysis, there were 314 cases in the control group and 118 cases in the COX-2-I group. Compared with the control group, the risk of severe/critical COVID-19 in the COX-2-I group was significantly decreased by 83.1% (p = 0.004). Acute decompensated events and ACLF occurred in 23 (7.32%) and nine (2.87%) cases in the control group, but none in the COX-2-I group (p = 0.003 and 0.122). The rate of hospitalization in the COX-2-I group was significantly lower than that of the control group (3.39% vs 13.06%, p = 0.003). No patient in the COX-2-I group required intensive care unit admission. Long-term intermittent oral administration of selective COX-2-I in cirrhotic patients significantly reduces the occurrence of severe/critical COVID-19, acute decompensated events, and ACLF. It may also be used for systemic inflammation caused by other pathogens.

Association between thyroid function and prognosis of severe COVID-19 among patients with SARS-CoV-2 infection: a retrospective cohort study in China.

This study aims to examine the thyroid hormone profile and its association with severe coronavirus disease 2019 (COVID-19) in patients infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This retrospective cohort study enrolled patients admitted to a tertiary hospital due to SARS-CoV-2 infection between February 18 and May 18, 2022. Clinical data were collected retrospectively from the electronic medical record system. Based on the thyroid function, patients were divided into five groups: normal, non-thyroid illness syndrome (NTIS), hypothyroidism, thyrotoxicosis, and unclassified. The association between thyroid function and severe COVID-19 was detected using multivariable logistic regression and restricted cubic splines analysis. This study included 3,161 patients, with 7.7% of them developing severe COVID-19. 44.9% of the patients had normal thyroid function, 36.5% had NTIS, 6.7% had hypothyroidism, and 1.0% had thyrotoxicosis on admission. After adjusting for age, sex, and relevant clinical characteristics, NTIS and hypothyroidism were associated with increased risks of severe COVID-19 (odds ratio [OR] 2.38, 95% confidence interval [CI] 1.59-3.56 and OR 2.29, 95% CI 1.23-4.26, respectively), compared to normal thyroid function group. Among patients with NTIS or hypothyroidism, higher levels of total triiodothyronine (TT3) are associated with lower risks of severe COVID-19 (OR 0.73, 95% CI 0.64-0.82, for every 0.1nmol/L increase in TT3 level). Thyroid hormone profiles of NTIS or hypothyroidism are associated with increased risks of severe COVID-19. The decreased level of TT3 correlated with the increased risk of severe COVID-19 in patients with NTIS or hypothyroidism.

Innate immune signatures in the nasopharynx after SARS-CoV-2 infection and links with the clinical outcome of COVID-19 in Omicron-dominant period

While severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is characterized by impaired induction of interferons (IFNs) and IFN-stimulated genes (ISGs), the IFNs and ISGs in upper airway is essential to restrict the spread of respiratory virus. Here, we identified the prominent IFN and ISG upregulation in the nasopharynx (NP) of mild and even severe coronavirus disease 2019 (COVID-19) patients (CoV2+) in Omicron era and to compare their clinical outcome depending on the level of IFNs and ISGs. Whereas the induction of IFNB was minimal, transcription of IFNA, IFNG, and IFNLs was significantly increased in the NP of CoV2 + patients. IFNs and ISGs may be more upregulated in the NP of CoV2 + patients at early phases of infection according to viral RNA levels and this is observed even in severe cases. IFN-related innate immune response might be characteristic in macrophages and monocytes at the NP and the CoV2 + patients with higher transcription of IFNs and ISGs in the NP showed a correlation with good prognosis of COVID-19. This study presents that IFNs and ISGs may be upregulated in the NP, even in severe CoV2 + patients depending on viral replication during Omicron-dominant period and the unique IFN-responsiveness in the NP links with COVID-19 clinical outcomes.

Comparison of liver fibrosis scores and fatty liver on computed tomography as risk factors for severity of COVID-19.

Increased liver fibrosis scores (LFS), such as fibrosis-4 index (FIB-4) or non-alcoholic fatty liver disease fibrosis score (NFS), and fatty liver are known risk factors for severe coronavirus disease 2019 (COVID-19). The purpose of this study was to identify the best scores, which predict the prognosis of COVID-19. Participants comprised consecutive Japanese COVID-19 patients admitted to our hospital between February 14, 2020, and April 14, 2021. Multivariate logistic regression analysis was performed to evaluate the relationships between LFS (FIB-4, NFS, aspartate aminotransferase-to-platelet ratio index [APRI], BARD score, and hepatic steatosis index [HSI]) or fatty liver on computed tomography (CT), and severity of COVID-19. Of the 415 patients (mean age, 59 years), 177 patients (42.7%) needed oxygen therapy, 90 patients (21.7%) worsened to severe COVID-19, and 45 patients (10.8%) died during admission. Multivariate logistic regression analysis showed that increased FIB-4 and NFS were risk factors for death, severe COVID-19, and oxygen demand; that increased BARD was a risk factor for severe COVID-19 and oxygen demand; and that increased APRI and HSI were not risk factors for any status of COVID-19. Furthermore, increased NFS or BARD and fatty liver were independent risk factors for severe COVID-19 and oxygen demand. This study showed that FIB-4 and NFS were the best liver fibrosis scores that predicted worse prognosis for COVID-19, and that increased NFS or BARD and fatty liver evident on CT represented independent risk factors for severe COVID-19 and oxygen demand.

Association between ACE (rs4343 and rs1799752), AGTR1 (rs5186), and PAI-1 (rs2227631) polymorphisms in the host and the severity of Covid-19 infection

Objective It is necessary to identify appropriate clinical, biochemical, epidemiological and genetic biomarkers to elucidate the underlying mechanisms of the coronavirus disease-2019 (COVID-19) disease. The study focused on not only the link between disease severity (non-intense unit care (non-ICU) versus intensive unit care (ICU) and genetic susceptibility in COVID-19 patients but also the connection between comorbidity and genetic susceptibility affecting the severity of COVID-19. Subject and methods One hundred and sixty-two COVID-19 patients treated in the non-ICU and ICU in Kayseri City Hospital were included. All volunteers underwent a physical examination and biochemical evaluation. Angiotensin-converting enzyme (ACE p.T776T G > A(rs4343) and g.16471_16472delinsALU (also referred to as I/D polymorphism; rs1799752), angiotensin II receptor type-1 (AGTR1) c.*86A > C (also referred to as A1166C; rs5186), and plasminogen activator inhibitor-1 (PAI-1-844 G > A (rs2227631) polymorphisms were analysed as well. Results To have ACE “ID” genotype did not change the severity of the disease (OR: 0.92, 95% CI: 0.41–2.1, p = 0.84), but decreased the mortality risk 2.9-fold (OR: 2.9, 95% CI: 1.1–7.0, p = 0.03). In PAI-1-844 G > A, having the “AA” genotype in the “A” recessive model increased the risk of the diabetes mellitus (DM) 2.3-fold (OR: 2.3 95%, CI: 1.16–4.66, p = 0.018). In the “G” recessive model, to have the GG genotype increased the risk of chronic kidney disease (CKD) 4.8-fold (OR:4.8, 95% CI: 1.5–15.5, p = 0.008). “GG” genotype in the DM group had a higher fibrinogen level compared to those with the “AG” genotype (AG:4847.2 mg/L (1704.3) versus GG:6444.67 mg/L (1861.62) p = 0.019) and “AA” genotype in the CKD group had lower platelet levels and those with “GG” had higher platelet levels (AA:149 µL (18–159) versus GG: 228 µL (146–357) p = 0.022). Conclusion This study was shown that genetic predispositions that causes comorbidities were also likely to affect the prognosis of COVID-19.

Chest Computed Tomography Severity Score to Predict Outcome of Patients with COVID 19

Abstract Background The coronavirus disease 2019 (COVID-19) is an acute infectious pneumonia caused by a severe acute respiratory syndrome-coronavirus-2. Some studies have suggested that C-reactive protein, lymphocyte count, and features from CT scoring as predictors of severity and prognosis of COVID-19. Non-contrast chest computed tomography (CT) scan was found to be a useful diagnostic instrument for screening COVID-19 pneumonia. This score uses lung opacification as a surrogate for extension of the disease in the lungs. Aim To assess the prognostic value of chest CT severity score (CSS) to predict the severity of symptoms and outcomes among patients with typical CT findings. Subject and Methods This Prospective Observational study was conducted at Radiology department, faculty of medicine, Ain Shams University on 94 patients. Results There is a significant difference between the groups regarding symptoms severity. there is no significant difference between the groups regarding CT findings. left lung severity scores and total severity score were significantly higher among poor prognosis patients compared to good prognosis patients. mortality rate was significantly higher among poor prognosis patients compared to good prognosis patients. severity score was significantly higher among severe symptoms patients compared to mild symptoms patients in good prognosis patients. Conclusion The current study showed that CT images and CT-severity scores can predict ICU admission and mortality in patients with COVID-19 pneumonia. Clinicians and radiologists can use the CT-severity score as a measure of disease severity and an indicator of poor prognosis, including the need for mechanical ventilation. Also, our findings showed the superiority of CT findings over other clinical information and co-morbidities in predicting the short-term outcome.

Association between D-Dimer and the Severity of COVID-19

Abstract Background Coronavirus disease-2019 (COVID-19) is a global health crisis. The clinical characteristics, disease progression and outcome in children appear significantly milder compared to older individuals. Symptoms, although variable, depend on the stage of the disease, the prior health status, and the presence of comorbidities and other individual features. The risk factors for morbidity and mortality include comorbidities such as diabetes, chronic pulmonary disease, and cardiac pathology. Thus, prompt diagnosis is vital, given the evolution of the disease, with ARDS potentially occurring at 1 week after symptom onset. Objective To investigate the prognostic value of D-dimer levels measured on admission in COVID-19 patients. Patients and Methods We performed a retrospective observational study to investigate the prognostic value of D-dimer levels measured on admission in patients infected with novel Coronavirus Disease 2019 (COVID-19). The study enrolled 80 consecutive critically ill patients with test confirmed COVID-19 status attending Ain Shams University Hospital, intensive care units (Dimerdash Hospital). We retrospectively collected demographic, clinical data, laboratory parameters and prognosis. Results The best cutoff of D dimer in prediction of severe disease is ≥ 308 with area under curve of 0.897, sensitivity of 87%, specificity of 80.7%, positive predictive value (PPV) of 64.5%, negative predictive value of 93.9% and overall accuracy of 82.5% (p < 0.001). Statistically, there is statistically significant association between D dimer (≥308) and disease severity where D dimer significantly increased risk of having severe disease by 27.9 folds. The best cutoff of D dimer in prediction of mortality is ≥ 376 with area under curve of 0.839, sensitivity of 82.6%, specificity of 82.5%, positive predictive value (PPV) of 65.5%, negative predictive value of 92.2% and overall accuracy of 82.5% (p < 0.001). Statistically, there is significant association between D dimer (≥376) and mortality where D dimer significantly increased risk of mortality by 22.4 folds. In our study, there is statistically significant association between D dimer (≥376) and overall survival which was significantly higher in those with D dimer <376. Conclusion The prognosis of COVID-19 is poor in some group of patients. Unfortunately, an effective, globally accepted treatment algorithm for the treatment of COVID-19 has not yet been established. Additionally, the importance of anticoagulant therapy is increasing, as thrombotic events play a major role in mortality.

A moderately higher time-in-range threshold improves the prognosis of type 2 diabetes patients complicated with COVID-19.

After fully lifting coronavirus disease 2019 (COVID-19) pandemic control measures in mainland China in 12/2022, the incidence of COVID-19 has increased markedly, making it difficult to meet the general time-in-range (TIR) requirement. We investigated a more clinically practical TIR threshold and examined its association with the prognosis of COVID-19 patients with type 2 diabetes(T2D). 63 T2D patients complicated with COVID-19 were evaluated. Patients were divided into favorable outcome group and adverse outcome group according to whether achieving composite endpoint (a >20-day length of stay, intensive care unit admission, mechanical ventilation use, or death). TIR, the time-below-range (TBR) and the time-above-range (TAR) were calculated from intermittently scanned continuous glucose monitoring. Logistic regression analysis and other statistical methods were used to analyze the correlation between glucose variability and prognosis to establish the appropriate reference range of TIR. TIR with thresholds of 80 to 190 mg/dL was significantly associated with favorable outcomes. An increase of 1% in TIR is connected with a reduction of 3.70% in the risk of adverse outcomes. The Youden index was highest when the TIR was 54.73%, and the sensitivity and specificity were 58.30% and 77.80%, respectively. After accounting for confounding variables, our analysis revealed that threshold target ranges (TARs) ranging from 200 mg/dL to 230 mg/dL significantly augmented the likelihood of adverse outcomes. The TIR threshold of 80 to 190 mg/dL has a comparatively high predictive value of the prognosis of COVID-19. TIR >54.73% was associated with a decreased risk of adverse outcomes. These findings provide clinically critical insights into possible avenues to improve outcomes for COVID-19 patients with T2D.

SARS-CoV-2 Induced Interleukin -18 Response among Presumptive Covid-19 Patients in Kano State, Nigeria

Study’s Novelty/Excerpt This study evaluates Interleukin-18 (IL-18) as a potential biomarker for COVID-19 by comparing its serum levels in COVID-19-positive patients and healthy controls. The research uniquely identifies significantly elevated IL-18 levels in COVID-19 patients, demonstrating a strong statistical association with the infection (t value 6.16, p <0.00010). These findings underscore the potential of IL-18 in the prognosis and clinical management of COVID-19, offering new insights into its role in the disease's pathophysiology and its utility as a biomarker. Full Abstract Coronaviruses have a history of causing severe outbreaks with life-threatening consequences, including Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), and the recent coronavirus disease 2019 (COVID-19). COVID-19 first broke out in Wuhan (China) in December 2019). The disease was later declared a pandemic, and so far, more than 222 countries have been affected, with over 771 million confirmed cases and total deaths of over 7.05 million. Some immunological markers were reported elsewhere as directly related to COVID-19 pathophysiology and stand a chance to be considered biomarkers. Interleukin 18 (IL-18) is a proinflammatory cytokine and a member of the interleukin-1 family, produced by macrophages at the early stage of viral infections. However, aberrant IL-18 production can lead to severe pathological injury. Hence, there is a need to assess the feasibility of interleukin -18 as a biomarker for COVID-19. Forty-five individuals diagnosed with COVID-19 and 45 healthy controls screened using a COVID-19 antigen rapid test kit and confirmed by one-step real-time PCR were recruited for this study. Blood samples were collected from the patients and controls, and the samples were analyzed for IL-18 using the ELISA technique. This study revealed a higher level of IL-18 in COVID-19-positive patients (206.42 ± 13.2 pg/mL) compared to the control group (97.96 ± 14.4 pg/mL). Serum level IL-18 was statistically associated with COVID-19 infection (t value 6.16, p <0.00010). The study demonstrates the importance of IL-18 in the COVID-19 cohort, inferentially implying its potential in the prognosis and clinical management of COVID-19.

Clinical Characteristics and Prognosis of Older Patients with Coronavirus Disease 2019 Requiring Mechanical Ventilation.

An older age is associated with severe progression and poor prognosis in coronavirus disease 2019 (COVID-19), and mechanical ventilation is often required. The specific characteristics of older patients undergoing mechanical ventilation and their prognostic factors are largely unknown. We aimed to identify potential prognostic factors in this group to inform treatment decisions. This retrospective cohort study collected data from patients with COVID-19 at 22 medical centers. Univariate and multivariate Cox regression analyses were performed to assess factors that influence mortality. We allocated 434 patients in geriatric (≥80 years) and elderly (65-79 years) groups. The former group scored significantly higher than the elderly group in the clinical frailty scale and sequential organ failure assessment, indicating more severe organ dysfunction. Significantly lower administration rates of tocilizumab and extracorporeal membrane oxygenation and higher intensive care unit (ICU) and in-hospital mortality were noted in the geriatric group. The factors associated with ICU and in-hospital mortality included high creatinine levels, the use of continuous renal replacement therapy, prone positioning, and the administration of life-sustaining treatments. These results highlight significant age-related differences in the management and prognosis of critically ill older patients with COVID-19. Increased mortality rates and organ dysfunction in geriatric patients undergoing mechanical ventilation necessitate age-appropriate treatment strategies to improve their prognoses.

Association between lipid profile and clinical outcomes in COVID-19 patients.

High-density lipoprotein cholesterol (HDL-c) removes cholesterol, an essential component in lipid rafts, and this cholesterol removal can regulate protein attachment to lipid rafts, modulating their functionality in the immune cell response. Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can alter the lipid profile, there is little information on the role of HDL-c and other lipids in prognostic of the coronavirus disease 2019 (COVID-19) in Mexican population. This study aims to evaluate the predictive value of HDL-c and lipid profile on severity and survival of 102 patients infected with SARS-CoV-2 during the COVID-19 first wave. Our findings, derived from univariate and multivariate Cox proportional hazards regression models, highlighted age and hypertension as significant predictors of survival (HR = 1.04, p = 0.012; HR = 2.78, p = 0.027), while gender, diabetes, and obesity showed no significant impact. Triglycerides and HDL-c levels notably influenced mortality, with elevated triglycerides and lower HDL-c associated with higher mortality risk (p = 0.032). This study underscores the importance of lipid profiles alongside traditional risk factors in assessing COVID-19 risk and outcomes. It contributes to the understanding of COVID-19 patient management and emphasizes the need for further investigation into the role of dyslipidemia in influencing COVID-19 prognosis, potentially aiding in refined risk stratification and therapeutic strategies.

Comparative analysis of various laboratory biomarkers based on the severity of COVID-19 in a tertiary care hospital in South India

COVID-19 (Corona Virus Disease 2019) was a life-changing pandemic with impact on social, environmental, health, and economic issues. Various inflammatory and hematological biomarkers studied individually or in combination in the literature have shown significant results with regard to COVID-19 pathology, severity, and prognosis. Yet the question of interest is how covid-19 inflammatory cascade impacts the interlink between the biomarkers during different stages. This study aims to retrospectively analyse ferritin, albumin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, direct bilirubin, blood urea nitrogen (BUN), creatinine, D-dimer, Lactate Dehydrogenase (LDH), C Reactive Protein (CRP) and Interleukin-6 (IL-6) levels between two groups based on COVID-19 severity. A retrospective cross-sectional study was conducted with laboratory data of COVID-19 patients admitted at Sri Ramachandra Medical College Hospital, India. The sample size was 104 [Group1: severe disease, n=52; Group-2: mild disease, n=52]. After normality testing, data were compared between the two groups followed by correlation analysis between the variables. A p<0.05 was considered statistically significant. On comparison, Group 2 (severe COVID-19 disease) showed significant difference in the levels of all the biomarkers (p<0.005) except Creatinine (p<0.128) when compared with Group 1 (mild COVID-19 disease). Significant correlation was obtained between all biomarkers (p<0.005) except creatinine. The correlation analysis primarily explains the inflammatory cascade involved in disease. Ferritin appears to have a standalone effect on disease severity, progression, organ dysfunction. This understanding can be used to provide better and more timely care.

Delayed Antibody Response in the Acute Phase of Infection Is Associated with a Lower Mental Component of Quality of Life in Survivors of Severe and Critical COVID-19.

Background: The long-term sequelae of coronavirus disease 2019 (COVID-19) significantly affects quality of life (QoL) in disease survivors. Delayed development of the adaptive immune response is associated with more severe disease and a worse prognosis in COVID-19. The effects of delayed immune response on COVID-19 sequelae and QoL are unknown. Methods: We conducted a prospective study to assess the relationship between the delayed antibody response in the acute phase of infection in naïve unvaccinated patients suffering from severe or critical COVID-19 and their QoL 12 months after hospital discharge. The 12-item Short Form Survey (SF-12) questionnaire was used for assessment of QoL. The SF-12 evaluates both mental and physical components of QoL, incorporating a mental component score (MCS-12) and a physical component score (PCS-12). A delayed antibody response was defined as testing negative for anti-spike SARS-CoV-2 antibodies at the time of hospital admission. Results: The study included 274 patients (154 men and 120 women). Of the enrolled patients, 144 had a delayed immune response. These patients had a significantly lower MCS-12 (p = 0.002), but PCS-12 (p = 0.397) was not significantly different at the 12-month follow-up compared to patients with positive anti-spike SARS-CoV-2 antibodies. The MCS-12 at the time of follow-up was negatively associated with delayed antibody response irrespective of possible confounders (p = 0.006; B = 3.609; ηp2 = 0.035; 95% CI = 1.069-6.150). An MSC-12 below 50 points at the time of follow-up was positively associated with delayed antibody response (p = 0.001; B = 1.092; OR = 2.979; 95% CI = 1.554-5.711). Conclusions: This study confirmed that, in patients with severe and critical COVID-19, a negative result for anti-spike SARS-CoV-2 antibodies at the time of hospital admission is associated with a lower mental component of QoL in unvaccinated patients naïve to COVID-19 one year after hospital discharge.

Retrospective study of the impact of diabetes on the severity and prognosis of COVID‑19.

Patients with diabetes coexisting with viral infection tend to have poor outcomes, but the association between diabetes and coronavirus disease 2019 (COVID-19) prognosis is controversial at present. The present study reviewed and analyzed the data of 1,892 patients with COVID-19 admitted to Shaanxi Provincial People's Hospital (Xi'an, China). Demographic, clinical, laboratory and treatment data as well as clinical outcomes were extracted from the electronic medical records and compared between patients with and without diabetes. Multivariate logistic regression analysis was used to determine the risk factors affecting the prognosis of COVID-19. Compared with patients without diabetes, the levels of glucose, C-reactive protein, procalcitonin, creatinine, total bilirubin and plasma D-dimer were significantly increased in patients with diabetes, while the levels of lymphocytes and albumin were significantly decreased (P<0.05). Multivariate logistic regression analysis revealed that platelet count, albumin, total bilirubin and lymphocytes were significantly correlated with the severity of COVID-19. Diabetes mellitus was an independent prognostic factor that affected the mortality outcome of patients with COVID-19. Additionally, an age of ≥80 years, male sex, cerebral infarction complications and a critical diagnosis of COVID-19 at admission were risk factors for critical illness during hospitalization. The results of the present study suggest that diabetes may be a risk factor for the rapid progression and poor prognosis of COVID-19. Therefore, further attention should be paid to individuals with diabetes in order to prevent rapid deterioration.

Hemostatic and liver function parameters as COVID-19 severity markers.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a disease newly discovered in December 2019 which affects coagulation cascade and liver functions. The aim of this study was to investigate the potential of hemostatic and liver function parameters as severity markers in COVID-19 patients. This study was an observational analytic with cohort retrospective design using total sampling method. Data were retrieved from medical record of COVID-19 patients admitted to provincial hospital in Banda Aceh, Indonesia from March 2020 to March 2022. There were 1208 data eligible for the study after applying certain criteria. Mann-Whitney, logistic regression, and receiving operating characteristic (ROC) analyses were used to analysis the data. Thrombocyte count (p<0.001), prothrombin time (p<0.001), activated partial thromboplastin time (p<0.001), D-dimer (p<0.001), fibrinogen (p<0.001), aspartate aminotransferase (p<0.001), and alanine transaminase (p<0.001) significantly increased in severe compared to mild COVID-19 patients. After being adjusted, age (odds ratio (OR); 1.026 (95% confidence interval (CI): 1.016-1.037) was the most significant factor in predicting COVID-19 severity. Fibrinogen (cut-off 526.5 mg/L) was the best parameter associated with COVID-19 severity with 70% sensitivity and 66.4% specificity. Meanwhile, D-dimer (cut-off 805 ng/mL) had a sensitivity of 72.3% and specificity of 66.4%. Combining the parameters resulted in improved sensitivity to 82.0% with a slight decline of specificity to 65.5%. In conclusion, fibrinogen and D-dimer level on admission could be used as biomarkers in predicting COVID-19 prognosis. Routine monitoring and evaluation of laboratory testing especially D-dimer and fibrinogen could be implemented in order to reduce morbidity and mortality rate of COVID-19.

Elevated level of circulating calprotectin correlates with severity and high mortality in patients with COVID-19.

Patients with coronavirus disease-2019 (COVID-19) are characterized by hyperinflammation. Calprotectin (S100A8/S100A9) is a calcium- and zinc-binding protein mainly secreted by neutrophilic granulocytes or macrophages and has been suggested to be correlated with the severity and prognosis of COVID-19. To thoroughly evaluate the diagnostic and prognostic utility of calprotectin in patients with COVID-19 by analyzing relevant studies. PubMed, Web of Science, and Cochrane Library were comprehensively searched from inception to August 1, 2023 to retrieve studies about the application of calprotectin in COVID-19. Useful data such as the level of calprotectin in different groups and the diagnostic efficacy of this biomarker for severe COVID-19 were extracted and aggregated by using Stata 16.0 software. Fifteenstudies were brought into this meta-analysis. First, the pooled standardized mean differences (SMDs) were used to estimate the differences in the levels of circulating calprotectin between patients with severe and non-severe COVID-19. The results showed an overall estimate of 1.84 (95% confidence interval [CI]: 1.09-2.60). Diagnostic information was extracted from 11 studies, and the pooled sensitivity and specificity of calprotectin for diagnosing severe COVID-19 were 0.75 (95%CI: 0.64-0.84) and 0.88 (95%CI: 0.79-0.94), respectively. The AUC was 0.89 and the pooled DOR was 18.44 (95%CI: 9.07-37.51). Furthermore, there was a strong correlation between elevated levels of circulating calprotectin and a higher risk of mortality outcomes in COVID-19 patients (odds ratio: 8.60, 95%CI: 2.17-34.12; p < 0.1). This meta-analysis showed that calprotectin was elevated in patients with severe COVID-19, and this atypical inflammatory cytokine might serve as a useful biomarker to distinguish the severity of COVID-19 and predict the prognosis.

Evolution of the impact of the COVID-19 pandemic on heart transplant recipients: Decreasing risk, improving perspective.

Heart transplant recipients (HTr) have a higher probability of suffer from severe coronavirus disease-2019 (COVID-19) in comparison to general population, but their risk has changed over the course of the pandemic in relation to various factors. We conducted a prospective study including all HTr at risk of COVID-19 in a tertiary center between February 2020 and October 2022. The aim was to analyze how the prognosis (incidence of pneumonia and mortality) of COVID-19 in HTr has evolved over time, contextualizing variants, vaccination, and other treatments. Of 308 HTr included, 124 got the infection (39.2%). COVID and non-COVID HTr had similar baseline characteristics. COVID-19 patients with pneumonia had a poorer prognosis than those with less severe presentations, with a higher rate of hospitalization (93.3vs. 14.1%, p < .001) and death (41.0vs. 1.2%, p < .001). Multivariate analysis identified age ≥60 years (odds ratio [OR] 3.65, 95% confidence interval [CI] 1.16-11.49, p = .027), and chronic kidney disease ≥3a (OR 4.95, 95% CI 1.39-17.54, p = .014) as predictors of pneumonia. Two-dose vaccination (OR 0.20, CI 95% 0.05-0.72, p = .02) and early remdesivir administration (OR 0.17, CI 0.03-0.90, p = .037) were protective factors. Over the course of the pandemic considering three periods in the follow-up (prevaccination February-December 2020, postvaccination January-December 2021, and post early remdesivir indication January-October 2022), we observed a reduction in pneumonia incidence from 62% to 19% (p < .001); and mortality (from 23% to 4%, p < .001). The prognosis of COVID-19 in HTr has improved over time, likely due to vaccination and early administration of remdesivir.