Role of Serum Ferritin, D-Dimer, and C-Reactive Protein Parameters in COVID 19 Severity.

Following the epidemics caused by the transmission of the common virus between humans and animals (COVID-19), coronavirus 2 (SARS-CoV-2) is the third and most deadly strain of RNA virus that can cause respiratory, digestive, and nervous system problems, and there are many unknown complications. This study included 170 clinical samples of nasopharyngeal swaps (100 patients and 70 controls for both males and females). RT-PCR was performed, and blood samples were taken for biochemical analyses. They were obtained from Iraqi patients aged 25 to 92 years old. Between November 2021 and March 2022, COVID-19 patients were admitted to Dar al-salam Hospital, Alyarmok Teaching Hospital, and Alshefaa Hospital. AFIAS D-Dimer, AFIAS ferritin, and NycoCard CRP tests were performed on the patients and were classified depending on the severity of their infection (mild or moderate, severe and critical). The results showed a significant increase in ferritin in critically ill patients (545.58 ± 57.71). A significant increase of D-dimer was found with different severity with highly significant in the critical group (3.93 ± 0.79). With varying degrees of severity, a substantial rise in CRP was discovered with highly significant in the critical group (96.27 ± 14.55) between the severity group (p-value <0.001). Also, COVID-19 individuals in the age range (50 - 60) tended to be more severe than younger people, whereas the effect of gender is not significant in any patient group. The biochemical factors, including D-Dimer, ferritin, and CRP, are effective in the disease's occurrence of symptoms and severity.

Biochemical Markers and Adverse Maternal Outcomes in COVID-19 Pregnant Women: A Prospective Study

Background-COVID-19 is a newly emerged virus that leads to severe consequences;hence a collaborative approach to COVID-19-positive pregnant women is required. Identifying clinical features of SARS-CoV-2 infection in pregnant women is important as early as possible to decrease it and lower mortality and morbidity associated with it. We have evaluated maternal parameters associated with COVID-19 pregnancy and their clinical outcomes. Obstetric outcomes were compared with the severity of the disease. Material and methods- The study was a single-centred analysis of 71 pregnant women prospectively from April 2021-July 2021. All pregnant patients admitted to our hospital as COVID suspects were recruited. Data collected includes age, parity, gestational age, mode of delivery, comorbidity, haematological parameters, and complications during antenatal periods. Results- Out of 71 cases, the majority, 59(83.1%) cases were symptomatic and 12(16.9%) cases were asymptomatic. According to SPO2 level out of 71 cases, 19(26.8%) cases had severe disease, 36(50.7%) had moderate, 10(14.1%) had mild disease and 6(8.5%) had normal. Maternal mortality was observed 29(40.8%). The mortality rate was higher among 14(48.3%) severe cases and 11(37.9) moderate cases. Serum ferritin was significantly associated with the maternal outcome severity. Conclusion- Mortality was higher in patients with lower levels of spo2, accounting for 48.3%. In these pregnant women, we found a more elevated serum ferritin level, denoting a positive correlation of these biochemical markers with the severity of COVID-19, resulting in adverse maternal outcomes. As limited studies were found on the correlation between biochemical markers and the negative effects in COVID-19 pregnant females, this study can help advance the research further. [ FROM AUTHOR] Copyright of Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research) is the property of Journal of Cardiovascular Disease Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Is Serum Ferritin an Early Marker for COVID-19-Associated Mucormycosis?

Background Coronavirus disease 2019 (COVID-19) is a hyperinflammatory disease caused by severe acute respiratory syndrome coronavirus 2, which makes critically ill patients susceptible to invasive fungal infections. Invasive fungal infections such as mucormycosis are associated with high morbidity and mortality. This study aimed to determine the serum ferritin levels in COVID-19-associated mucormycosis (CAM) patients and isolate and identify the fungi causing secondary fungal infections in patients with suspected CAM. Methodology This cross-sectional study was conducted from June to September 2021 among CAM patients admitted to Bowring and Lady Curzon Hospital. After obtaining approval from the institutional ethics committee and valid consent, data regarding demographic details, past medical history, and serum ferritin levels, along with other blood investigations, were carefully collected from patients presenting with clinical features of mucormycosis and a history of COVID-19. Samples were examined under a bright field microscope using wet mounts of samples in KOH, cultured on Sabouraud's dextrose agar, and examined under a microscope after staining with lactophenol cotton blue for the isolation and correct identification of fungi. Statistical analysis was done using Microsoft Excel (Microsoft Corp., Seattle, WA, USA) and SPSS version 26.0 (IBM Corp., Armonk, NY, USA). A p-value less than <0.05 was considered statistically significant. Results A total of 95 patients with CAM were included in this study, comprising 70 males and 25 females. The mean age of presentation was 49.83 ± 12.41 years, with 73% males and 26% females. Type 2 diabetes mellitus was noted in 69% of patients, hypertension in 29%, and steroid use in 42%. The mean serum ferritin level was 537.38 ± 468.88 ng/mL. We found a significant association between increased serum ferritin and a history of diabetes. Serum ferritin levels had a statistically significant correlation with samples of patients who were positive for Mucorales under KOH microscopy. The fungal culture showed the growth of Aspergillus, Mucor, Rhizopus, and Candida. The mean value of serum ferritin in patients who showed mucor growth was 842.09 ng/mL. Conclusions We found a significant increase in serum ferritin levels in CAM patients. Ferritin can be used as an early marker for screening mucormycosis in COVID-19 patients. Monitoring patients with elevated serum ferritin levels in severe COVID-19, glycemic control, judicious use of corticosteroids, early diagnosis, and appropriate treatment can aid in better management of the disease.

Role of COVID 19 Inflammatory Markers in Rhino-Orbito-Cerebral Mucormycosis: A Case Study in Predisposed Patients at a Designated Nodal Centre.

Mucormycosis is a very morbid and potentially life threatening fungal infection. Sudden emergence and rapidly increasing numbers, of an otherwise rare infection in active Corona virus disease 2019 (COVID-19) or recently recovered patients has made us question the cause for this epidemic in India. This retrospective cohort study was done at Government Ear, Nose and Throat (ENT) hospital, Hyderabad, a designated nodal centre for mucormycosis for the state of Telangana, between April 2021 and June 2021. This study included patients with mucormycosis who had a recent history of COVID-19 infection. Potential predisposing factors (diabetes mellitus, history of oxygen and corticosteroids usage) and inflammatory marker values, predominantly deranged in COVID-19 infection (D-dimer and Serum Ferritin) were evaluated. A correlation between the marker values and susceptibility factors was also studied. Majority of these subjects showed elevated serum markers and had one or more of the predisposing factors for COVID-19 associated mucormycosis (CAM). A significant association was found between elevated marker values and susceptibility factors (diabetes, use of oxygen). Contrary to the popular belief, that the inadvertent use of steroids, use of industrial oxygen or elevated blood sugars caused this epidemic, our study concludes that their role is limited to affecting the extent of morbidity/mortality. B.1.1.7 and B.6.117 variants of severe acute respiratory syndrome coronavirus 2 (SARSCoV2), predominant during the second wave in India, facilitated the fungal invasion and spread by altering the gene expression and inducing inflammatory and immunomodulatory changes.

COVID 19 Associated Mucormycosis: Preventable Risk Factors Leading to a Better Prognosis: A Case Series.

India was severely affected by the second wave of coronavirus disease (COVID­19), leading to sudden expansive spread of Mucormycosis, presenting with sinusitis, blackish mucus secretions, discolouration of palate, facial pain, swelling and blurring of vision. Hyperglycemia, hypercoagulable state and elevated levels of serum ferritin were the major contributing factors in progression of the deadly disease. To highlight the correlation between Diabetes Mellitus, hyperferritenimia and elevated levels of D-Dimer with increased rate of incidence and poor prognosis of the disease. This study was undertaken in KLES Dr Prabhakar Kore Hospital & MRC, Belagavi, including 30 patients, between April to July 2021. Serum ferritin, HbA1C and D-Dimer were evaluated for patients on admission, along with the other routine blood investigations. The mean age was 50 years (49.99 ± 1.8), with a male predominance of 83.33% (25 Male patients). 93.33% patients had uncontrolled Diabetes Mellitus with a mean value of 10.12% (± 0.37) indicating Diabetes Mellitus to be the prime risk factor. The raised levels of serum ferritin with a mean of 662.01 ng/ml (± 129.18) and high levels of D-Dimer (Mean- 761.33 ± 151.8 ng/ml) also demonstrated their role as interlinked factors. Mucor epidemic was caused by convergence of interlinked risk factors. Awareness of red flag clinical features, prompt diagnosis, early initiation of treatment with amphotericin-B with aggressive surgical debridement are essential for successful outcome, to avoid high rate of mortality and morbidity rates in the mucormycosis patients.

Antiphospholipid antibody (aPL) presence in COVID-19 patients

Objective: In our study, we aimed to show whether there is a relationship between antiphospholipid antibody (aPL) positivity and complications of COVID-19. Material and Methods: Eighty-three patients who were diagnosed with COVID-19 infection and hospitalized in the intensive care unit (ICU) of Bakirkoy Dr. Sadi Konuk Research and Training Hospital were included in our study as the case group and 79 healthy volunteers as the control group. Only patients with a positive Polymerase Chain Reaction (PCR) test were included in the case group. Serum antiphospholipid antibodies (aPL IgM/G), C-Reactive Protein (CRP), ferritin, procalcitonin (PCT), plasma D-Dimer levels, prothrombin time (PT), international normalized ratio (INR), and activated partial thromboplastin time (aPTT) were analyzed by routine laboratory methods. Results: Both groups were found statistically similar in terms of gender (X2 test, p=0.236). The mean age of the case group and control group was 60.54..16.86 and 51.47..14.64 years, respectively. When aPL positivity was evaluated between the case and control groups, a statistically remarkable difference was found between the groups (p=0.046). The case group showed an aPL positivity of 7.5% and the control group 1%. The correlation between D-Dimer, PT, INR, aPTT levels, and aPL IgM/G positivity in the case group was significant. Conclusion: Our results revealed that aPL positivity in patients with COVID-19 infection relate to the severity of the disease, independent from age and gender. To confirm the result of this study further studies with participation of larger patient groups from national and international hospitals are required.

Ferritin and High Sensitivity C-Reactive Protein (hsCRP) may predict the COVID-19 patient's fate

Objective: Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has rapidly spread worldwide. Clinical outcomes and disease severity are still unknown and can be difficult to predict. In this study, we perform a cross-sectional observational study to investigate the clinical characteristics of ferritin and high sensitivity C-reactive protein status of patients infected with COVID-19 that may predict the COVID-19 patient's fate. Methods: A total of 106 patients (56 males and 50 females, their ages ranging from 19 to 70 years) who were confirmed to have COVID-19 by real-time RT-PCR were recruited in this study. Blood samples were withdrawn, and biochemical tests (serum ferritin and C-reactive protein) were performed. The gained data were analyzed using GraphPad Prism software. Results: Overall, the findings showed that ferritin and C-reactive protein were increased from day 1 to day 7 and then decreased on day 14 after diagnosis in patients who are released after full recovery. While they still dramatically increased from day 1 to day 7 to day 14 in those who moved to the intensive care unit or died by day 14 in those who moved to the intensive care unit or died by day 14. No gender-based differences were noted. Conclusions: These findings suggest that the patient's fate and disease severity can be predicted at day 7 based on these two biomarkers. © 2019 ANGIOTHERAPY, a publication of Eman Research Ltd, Australia.

Systemic Markers in Ophthalmic Manifestations of Post Corona Virus Disease-19 (COVID-19).

INTRODUCTION: Corona virus disease (COVID-19) has been associated with ophthalmic manifestations which can occur during or following the infection. PURPOSE: To explore the systemic status in ophthalmic patients who had a recent history of COVID-19 or those with positive COVID-19 antibody status. METHODS: Retrospective case series. RESULTS: 30 patients with history of COVID-19 infection and positive COVID-19 antibodies were included in the study. The median age was 49 years (mean 48.7 ± 13.7 years), 20 were males (66.7%) and 10 (33.3%) were females. Patients with VA>/= 6/60 were included in group 1 and those with VA<6/60 were included in group 2. D-dimer/serum Ferritin levels were raised in group 2 compared to group 1with (p=0.013)/(p=0.018) respectively. CONCLUSION: Serum D-dimer and ferritin levels were statistically significant and were higher in patients with sight threatening ocular manifestations. ESR and CRP were raised even after recovery from COVID-19 although they were not statistically significant.

Rhizopus homothallicus rhino-orbital-cerebral mucormycosis: Six cases from a tertiary care Centre, North India.

OBJECTIVE: To report six cases of Rhizopus homothallicus rhino-orbital-cerebral mucormycosis in North India between April 2021 and July 2021. CASE DETAILS: All six patients had diabetes, concomitant SARS-CoV-2 infection, a history of oxygen requirement and steroid intake. Among these six cases 4 were female. All patients presented with sinus pain and peri-orbital swelling. COVID-19-associated mucormycosis (CAM) was diagnosed based on microbiological examination of the biopsied tissue, and its staging was determined radiologically by CT and MRI. Three patients were in stage III-C, the others were in stage II-C, II-D and IV-A. A multidisciplinary team treated the patients with extensive surgical debridement of the affected tissue, correction of predisposing comorbidities and administration of an antifungal agents. Patients were followed up for 6 months with routine direct nasal endoscopy to check the sinonasal cavity for any recurrence. All the six patients survived at 6 months of follow-up. CONCLUSION: A timely initiated multidisciplinary team-based approach can reduce the mortality in rhino-orbital-cerebral mucormycosis cases caused by R. homothallicus.

The role of serum ferritin level and disease severity in COVID-19 with type 2 diabetes mellitus patients

Introduction: The disease progression of coronavirus disease 2019 (COVID-19) in individuals with comorbidities, such as type 2 diabetes mellitus (T2DM) in particular, has been associated with the occurrence of the cytokine storm. Ferritin, an acute-phase protein indicating inflammation, has been linked to T2DM and the severity of COVID-19. Our study aimed to investigate the association between the level of ferritin and the severity of COVID-19 in T2DM patients.Methods: A cross-sectional study was conducted among COVID-19 patients admitted at Dr. Soetomo General Hospital, Surabaya, from April to September 2020. The patients who met the inclusion criteria were enrolled in the study. The data used in this study was secondary data obtained from the medical records at Dr. Soetomo General Hospital, which consisted of serum ferritin levels, the severity of COVID-19, the results of blood analysis, and other demographic and clinical characteristics (age, gender, hypertension, the number of complaints, and vital signs). Data analysis was performed using SPSS software and presented in percentage (%), mean +/- standard deviation (SD), or median (min-max). A chi-square test was carried out to identify the association between serum ferritin level and the severity of COVID-19 in T2DM patients at alpha=0.05.Results: Of the total 159 patients were included and 80.8% of them had moderate severity of COVID-19, whereas the rest (19.5%) had severe COVID-19. Out of total patients, 78.6% had ferritin levels of >= 400 mg/dL, suggesting hyperferritinemia syndrome (mean +/- SD: 1177.21 +/- 1275.90 mg/dL). The Chi-squared analysis revealed a significant association between serum ferritin levels with the severity of COVID-19 in T2DM patients (p=0.024).Conclusion: There was a significant relationship between serum ferritin levels and the severity of COVID-19 in T2DM patients and further study with a bigger sample size is needed to confirm this finding.

Comparative Study of Outcomes of COVID-19 Infection in Vaccinated and Unvaccinated Patients- A Retrospective Analysis

Introduction: Vaccine development was the highest priority during the Coronavirus disease 2019 (COVID-19) pandemic. An ideal vaccine should decrease the risk of infection and reduce the incidence and severity of the disease. Risk of disease or infection following COVID-19 vaccination needs to be evaluated for its efficacy and effectiveness. Aim(s): To compare the severity of the disease, oxygen requirement, and mortality between vaccinated and unvaccinated COVID-19 patients. Material(s) and Method(s): This retrospective study was done on the data of the patients who were admitted to Nizams Institute of Medical Sciences. All the admitted patients with COVID-19 disease, diagnosed by either Reverse Transcriptase Polymerase Chain Reaction (RTPCR) or rapid antigen detection method from April 2021 to October 2021, were included. Parameters recorded were: age, gender, co-morbidities, clinical staging as per institute protocol, vaccination status, oxygen requirement, the requirement of non invasive or invasive ventilation, inflammatory markers like C-Reactive Protein (CRP), ferritin, D dimer, Computed Tomography (CT) severity index, and outcomes. Result(s): The mean age of patients was 49.7+/-14.8 yrs in the unvaccinated group, and 52.75+/-16.2 yrs in the vaccinated group. Out of 175 patients, 102 (58.28 %) were unvaccinated. There were 25 (14.28%) deaths, of which 20 (80%) were unvaccinated and 5 (20%) were vaccinated. Oxygen requirement was more among the unvaccinated 73/96 (76.04%). High flow oxygen / mechanical ventilation requirement was higher in unvaccinated compared to vaccinated, 38 (76%) vs 12 (24%) respectively (p-value <0.005). The mortality rate was higher in unvaccinated patients with co-morbidity, with an odds ratio of 3.32 (1.2-9.3), p-value=0.02. Serum ferritin levels were significantly higher in the unvaccinated group, 858.15+/-935.5 vs 473.4+/-663.2 ng/mL, p-value 0.007. CT severity index in the unvaccinated group was 13.82+/-5.4, and for the vaccinated group, it was 11.58+/-5.49. Conclusion(s): Severe disease, oxygen requirement, and mortality were low in vaccinated patients. Vaccination has also resulted in a statistically significant decrease in mortality in patients with co-morbidities. Serum ferritin levels were also found to be lower in vaccinated patients. Copyright © 2023 Journal of Clinical and Diagnostic Research. All rights reserved.

Investigation of Serum Ferritin for the Prediction of COVID-19 Severity and Mortality: A Cross-Sectional Study.

BACKGROUND: Acute respiratory failure develops quickly in patients with a severe form of coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome Coronavirus 2 (SARS­CoV­2). Despite being commonly acknowledged as a measure of the body's overall iron storage, ferritin's predictive value is associated with COVID-19. OBJECTIVE: This study aimed to evaluate the relationship between COVID-19 and serum ferritin levels as the biochemical markers of SARS-CoV-2 infection in Sulaymaniyah, Iraq. METHOD: A biochemical test was performed at Baxshin Hospital in the period from February 2022 to April 2022. It was performed on a total of 85 patients (63.53% males and 36.47% females), ranging in age from 25 to 79 years old, with an average age of 48.4 years old. The patient's blood samples were taken to screen for ferritin levels. RESULT: The resulting outcome of this work is high serum ferritin levels for the majority of infected patients. Overall, there is a significant difference between male and female serum ferritin observed with a p-value < 0.05. The median interquartile range (IQR) of serum ferritin was 896 ng/mL for males, while it was only 611 ng/mL for females. The current study showed that age level has a great effect on elevated ferritin levels. It has been discovered that gender impacts increasing ferritin levels; 62% were found to be men and 38% were found to be women, with average ferritin levels of 1111 ng/mL and 712.8 ng/mL, respectively. CONCLUSION: SARS-CoV-2 infection causes significant laboratory abnormalities, including a high level of serum ferritin.

Role of hematological parameters and biochemical markers as a predictor of severity of COVID-19 patients

Background: The etiological agent for pandemic COVID-19 is severe acute respiratory syndrome corona virus 2. Hematological and biochemical parameters are the indicators of inflammation and coagulopathy. Aims and Objectives: The present study aimed to determine how effectively the hematological parameters and biochemical markers can help predict the severity of critically ill COVID-19 patients. Materials and Methods: The current retrospective cohort study was conducted among 200 COVID-19 patients admitted in the Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh, India. In our lab’s computerized system, certain hematological and biochemical parameters of the patients were retrieved and recorded. Receiver operating characteristics (ROC) curve analysis was done to evaluate the diagnostic accuracy of hematological and biochemical parameters. Results: Total leukocyte count (TLC), absolute lymphocyte count (ALC), neutrophil to lymphocyte ratio (NLR), D-dimer, and serum ferritin had a significant relationship with severity among ICU patients (P<0.05). ALC, D-dimer, and serum ferritin can be used to predict the severity of COVID patients with area under the ROC-AUC curve values of 0.717, 0.725, and 0.710, respectively. Platelet to lymphocyte ratio, lymphocyte to monocyte ratio, and C-reactive protein were not useful to predict the severity of COVID illness. Conclusion: Hb concentration, TLC, NLR, D-dimer, and serum ferritin were significantly raised in critically ill COVID patients. ROC curve analysis showed that ALC, serum ferritin, and D-dimer were able to predict the severity of COVID illness effectively. Conclusively, these parameters can be used to track the prognosis of patients. [ FROM AUTHOR] Copyright of Asian Journal of Medical Sciences is the property of Manipal Colleges of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Evaluation of Serum Ferritin, Procalcitonin, and C-Reactive Protein for the Prediction of Severity and Mortality in Hemorrhagic Fever With Renal Syndrome.

This study aimed to analyze the clinical significance of serum ferritin, procalcitonin (PCT), and C-reactive protein (CRP) in patients with hemorrhagic fever with renal syndrome (HFRS). The demographical, clinical, and laboratory data of 373 patients with HFRS in northeastern China were retrospectively analyzed. The levels of serum ferritin and PCT in severe patients (n = 108) were significantly higher than those in mild patients (n = 265, p < 0.001) and associated with HFRS severity. The area under the receiver operating characteristic curve (AUC) values of serum ferritin and PCT for predicting the severity of HFRS were 0.732 (95% CI 0.678-0.786, p < 0.001) and 0.824 (95% CI 0.773-0.875, p < 0.001), respectively, showing sensitivity and specificity of 0.75 and 0.88 for serum ferritin, and 0.76 and 0.60 for PCT. The CRP level in HFRS with bacterial co-infection (n = 115) was higher than that without bacterial co-infection (n = 258, p < 0.001). The AUC value of CRP for predicting bacterial co-infection was 0.588 (95% CI 0.525-0.652, p < 0.001), showing sensitivity and specificity of 0.43 and 0.76, respectively. The serum ferritin level in non-survivors (n = 14) was significantly higher than in survivors (n = 359, p < 0.001). The AUC value of serum ferritin for predicting mortality was 0.853 (95% CI 0.774-0.933, p < 0.001), showing sensitivity and specificity of 0.933 and 0.739. Serum ferritin and PCT have a robust association with HFRS severity and mortality, which may be promising predictors, and CRP is an effective biomarker to assess bacterial co-infection in HFRS.

Association of serum ferritin with COVID-19 in a cross-sectional study of 200 intensive care unit patients in a rural hospital: Is ferritin the forgotten biomarker of mortality in severe COVID-19?

Background: The COVID-19 disease caused by the SARS-CoV-2 virus, has toppled the world since first case noted in 2019, and the cases have been increasing there after. This grave effect is caused by the cytokine storm induced inflammation produced by the noxious virus. As it is an inflammatory state, various acute phase reactants are expected to raise; thus serum ferritin is contemplated to increase. Here we aim to anchor serum ferritin as a way marker for diagnosis and management of COVID-19 patients and study its role as a prognostic marker. Another aspect is the association of COVID-19 with the N: L ratio; observation has stated that higher N: L ratio results in more severe outcome. The study aimed to establish a correlation of COVID-19 severity with serum ferritin in the form of HRCT Score, N: L Ratio and Clinical Outcome in the patients admitted in Intensive Care Unit. Result: Out of 200 patients who were admitted in the intensive care unit with COVID-19, the association of serum ferritin with N: L Ratio and HRCT Score was significant, and the association of serum ferritin with clinical outcome in terms of discharged and expired was found to be statistically significant. Conclusion: Serum ferritin was found to be a potent marker for clinical outcome in intensive care unit patients in terms of death versus treated. HRCT Score and N:L ratio were found to be correlated with serum ferritin. Therefore, we conclude that serum ferritin may determine the severity of COVID-19 infection and it can be used as a marker for Clinical Outcome thereby making it an often neglected biomarker for predicting prognosis in COVID-19 with most of the physicians focusing mostly on interleukin 6, C Reactive protein and d dimer as a marker of severe COVID infection.

Aspartate transferase-to-platelet ratio index-plus: A new simplified model for predicting the risk of mortality among patients with COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has a spectrum of clinical syndromes with serious involvement of the lung and frequent effection of the liver and hemostatic system. Blood biomarkers are affordable, rapid, objective, and useful in the evaluation and prognostication of COVID-19 patients. AIM: To investigate the association between aspartate transferase-to-platelet ratio index (APRI) and in-hospital mortality to develop a COVID-19 mortality prediction model. METHODS: A multicenter cohort study with a retrospective design was conducted. Medical records of all consecutive adult patients admitted to Al-Azhar University Hospital (Assiut, Egypt) and Chest Hospital (Assiut, Egypt) with confirmed COVID-19 from July 1, 2020 to October 1, 2020, were retrieved and analyzed. The patient cohort was classified into the following two categories based on the APRI: (1) COVID-19 presenting with APRI ≤ 0.5; and (2) COVID-19 presenting with APRI (> 0.5 and ≤ 1.5). The association between APRI and all-cause in-hospital mortality was analyzed, and the new model was developed through logistic regression analyses. RESULTS: Of the 353 patients who satisfied the inclusion criteria, 10% were admitted to the intensive care unit (n = 36) and 7% died during the hospital stay (n = 25). The median age was 40 years and 50.7% were male. On admission, 49% had aspartate transferase-dominant liver injury. On admission, APRI (> 0.5 and ≤ 1.5) was independently associated with all-cause in-hospital mortality in unadjusted regression analysis and after adjustment for age and sex; after stepwise adjustment for several clinically relevant confounders, APRI was still significantly associated with all-cause in-hospital mortality. On admission, APRI (> 0.5 and ≤ 1.5) increased the odds of mortality by five-times (P < 0.006). From these results, we developed a new predictive model, the APRI-plus, which includes the four predictors of age, aspartate transferase, platelets, and serum ferritin. Performance for mortality was very good, with an area under the receiver operating curve of 0.90. CONCLUSION: APRI-plus is an accurate and simplified prediction model for mortality among patients with COVID-19 and is associated with in-hospital mortality, independent of other relevant predictors.

Role of Inflammatory Markers in Predicting Severity and Outcome in COVID-19 Patients Attending a Tertiary Care Institute of Tamil Nadu

Background: Severe acute respiratory syndrome Coronavirus 2 (SARS-COV 2) infection elicits an inflammatory response which is responsible for severe clinical manifestations, disease progression and, poor outcomes. Objectives: This study aims to assess the pattern of elevation of inflammatory markers in COVID-19 and to determine their association with clinical, radiological severity and outcome of COVID 19. Methodology: This is a retrospective single-center cross-sectional study conducted at Chettinad Hospital and Research Institute, a tertiary care Hospital in Tamil Nadu, India, encompassing a cohort of 1220 patients. The source population was all cases of COVID-19 admitted at the hospital with a confirmed diagnosis of COVID-19 using RT PCR. The data was obtained from the patient’s case sheets and laboratory investigations and from the electronic data management system. The patient’s clinical severity on admission, baseline characteristics, co-morbid illnesses, presenting complaints, vitals, and inflammatory markers like D-dimer, C-reactive protein IL-6, Serum ferritin, and Lactate dehydrogenase were collected. The data for radiological severity and outcome were coded and analysed. Results: Diabetes and hypertension were found to be the most common comorbidities in the study population;females more affected than males. Fever and cough are the most common presenting symptoms. The clinical severity of patients was found to have a significant association with radiological severity. D-dimer is having a strong correlation with disease severity and outcome at any point in time. IL-6, CRP, Serum ferritin also showed a strong correlation with outcome in COVID-19. Conclusion: Our study suggests D-dimer at any point of time in a hospitalized COVID-19 patient as a promising marker for the same. IL-6 is the next best inflammatory marker followed by CRP and Serum ferritin. LDH is the least significant one among these. Copyright (c) 2022: Author(s).

Anakinra treatment efficacy in reduction of inflammatory biomarkers in COVID-19 patients: A meta-analysis.

INTRODUCTION: Anakinra is being empirically considered for the treatment of COVID-19 patients. The aim is to assess the efficacy of anakinra treatment on inflammatory marker reduction, including c-reactive protein (CRP) concentrations, serum ferritin, and serum d-dimer levels. METHODS: Adhering to PRISMA 2020 statement guidelines, a systematic search was conducted across the following databases from December 2019 until January 10, 2022: PubMed/MEDLINE, Cochrane Central, Web of Science, Scopus, and EMBASE. The following keywords were employed: Anakinra, COVID*, SARS-CoV-2, inflammatory, CRP, D-dimer, Ferritin, hematological, laboratory, clinical, trials. The findings were collated and presented in a tabulated manner, and statistically analyzed using Review Manger 5.4 (Cochrane). RESULTS: In total, 2032 patients were included (881 in the anakinra and 1151 in the control/standard care group); 69.1% of them were males. Overall, the mean difference from admission until last follow-up in CRP values was -9.66, where notable reductions were seen in the anakinra group (SMD = -0.46, p < 0.00001, N = 655). Serum ferritin mean values were reduced by 1467.16 in the anakinra group (SMD = -0.31, p = 0.004, N = 537). D-dimer mean values were largely reduced by 4.04 in the anakinra group (SMD = -0.38, p = 0.0004, N = 375). CONCLUSION: This study finds that anakinra is potentially a strong candidate as an anti-inflammatory agent to reduce mortality in COVID-19 patients, specifically in patients with elevated inflammatory biomarkers.

A 2-month post-COVID-19 follow-up study on patients with dyspnea.

BACKGROUND AND AIMS: Dyspnea is one of the most common symptoms associated with the COVID-19 caused by novel coronavirus SARS-CoV-2. This study aimed to assess the prevalence of dyspnea, observe co-variables, and find predictors of dyspnea after 2 months of recovery from COVID-19. METHODS: A total of 377 patients were included in the study based on their responses and clinical findings during initial admission to the hospital with COVID-19. After excluding five deceased patients, a total of 327 patients were interviewed through telephone using a 12-point dyspnea scale and using relevant questions to gauge the patient clinically. Interviews were carried out by trained physicians, and responses were recorded and stored. All analyses were carried out using the statistical programming language R. RESULTS: Of the total 327 participants in the study, 34% had stated that they were suffering from respiratory symptoms even after 2 months of COVID-19. The study demonstrated that patient oxygen saturation level SpO2 (P = .03), D-dimer (P = .001), serum ferritin (P = .006), and the presence and severity of dyspnea are significantly correlated. In addition to that, patient smoking history (P = .012) and comorbidities such as chronic obstructive pulmonary disease (COPD) (P = .021) were found to be statistically significant among groups. CONCLUSION: These findings of this study can be useful for predicting and managing long-term complications of COVID-19.