C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis

Diagnostic and Prognostic Biomarkers of Coronavirus Disease 2019 in Children

Predictors of early diagnosis and severe infection in children with coronavirus disease 2019 (COVID-19), which has killed more than 4 million people worldwide, have not been identified. However, some biomarkers, including cytokines and chemokines, are associated with the diagnosis, pathogenesis and severity of COVID-19 in adults. We examined whether such biomarkers can be used to predict the diagnosis and prognosis of COVID-19 in pediatric patients. Eighty-nine children were included in the study, comprising three patient groups of 69 patients (6 severe, 36 moderate and 27 mild) diagnosed with COVID-19 by real-time polymerase chain reaction observed for 2-216 months and clinical findings and 20 healthy children in the same age group. Hemogram, coagulation, inflammatory parameters and serum levels of 16 cytokines and chemokines were measured in blood samples and were analyzed and compared with clinical data. Interleukin 1-beta (IL-1β), interleukin-12 (IL-12) and interferon gamma-induced protein 10 (IP-10) levels were significantly higher in the COVID-19 patients (p = 0.035, p = 0.006 and p < 0.001). Additionally, D-dimer and IP-10 levels were higher in the severe group (p = 0.043 for D-dimer, area under the curve = 0.743, p = 0.027 for IP-10). Lymphocytes, C-reactive protein and procalcitonin levels were not diagnostic or prognostic factors in pediatric patients (p = 0.304, p = 0.144 and p = 0.67). Increased IL-1β, IL-12 and IP-10 levels in children with COVID-19 are indicators for early diagnosis, and D-dimer and IP-10 levels are predictive of disease severity. In children with COVID-19, these biomarkers can provide information on prognosis and enable early treatment.

Dipeptidyl peptidase-4 (DPP-IV) inhibitor was associated with mortality reduction in COVID-19 - A systematic review and meta-analysis

INTRODUCTION

This systematic review and meta-analysis aimed to synthesize the latest evidence on the effect of dipeptidyl peptidase-4 (DPP-IV) inhibitor in patients with COVID-19.

METHODS

We performed a systematic literature search from the PubMed, Scopus, Embase, and Clinicaltrials.gov up until 15 July 2021. Studies that met the following criteria were included: prospective or retrospective observational studies or case series or randomized controlled trials (RCTs) reporting DPP-IV inhibitor use in patients with COVID-19 and mortality. The intervention group was patients receiving DPP-IV inhibitor. The control group was patients that did not receive DPP-IV inhibitor. The outcome was mortality reported as odds ratio (OR).

RESULTS

There were 11 studies consisting of 5950 patients in this meta-analysis. DPP-IV inhibitor use was associated with reduced mortality (OR 0.75 [0.56, 0.99], p = 0.043, I2: 42.9, p = 0.064) compared to those that did not receive DPP-IV inhibitor. Sensitivity analysis using the fixed-effect model (OR 0.75 [0.63, 0.88], p < 0.001, I2: 42.9, p = 0.064) also showed mortality benefit. The association between DPP-IV inhibitor and mortality was not significantly affected by age (p = 0.540), sex (p = 0.054), hypertension (p = 0.320), location (continent; p = 0.532), and retrospective/prospective nature of the study (p = 0.840). However, the association was affected by metformin (OR 1.03 [95% CI 1.01, 1.06], p = 0.010) and ACEI/ARB use (OR 1.06 [95% CI 1.02, 1.10], p = 0.004).

CONCLUSION

This meta-analysis showed that DPP-IV inhibitor was associated with reduced mortality in patients with COVID-19.

Overview of Clinical Outcome and Therapeutic Effectiveness of Favipiravir in Patients with COVID-19 Admitted to Intensive Care Unit, Riyadh, Saudi Arabia

Background

Prior to the availability of the current COVID-19 vaccine, the need to control the pandemic worldwide was focused on management of the disease using previously approved antivirals, including Favipiravir which inhibits viral replication through the RNA dependent RNA polymerase enzyme. Favipiravir’s efficacy against different viral infections has made it a potential treatment for COVID-19. We are aiming in this study to assess the therapeutic efficacy and safety of Favipiravir in treating critically ill patients admitted with COVID-19 to Intensive Care Units (ICUs).

Methods

This is a retrospective cohort study was conducted in five tertiary hospitals in Riyadh, Kingdom of Saudi Arabia (KSA). The studied sample was randomized from a huge pool of data collected primarily for critically ill COVID-19 patients admitted to (ICUs) during the period between April 2020 to March 2021. Two groups of patients matched 1: 1 for age and body mass index (BMI) was enrolled in the study; one group received Favipiravir and another comparison group received other antimicrobial medications, not including Favipiravir.

Results

A total data of 538 COVID-19 patients were analyzed, 269 (50.%) received Favipiravir and 269 (50%) the control group received different treatments. More than two-thirds 201 (74.7%) were Saudi citizens, the majority 177 (65.8%) were males and the mean age and (BMI) were; (57.23 ± 15.16) years and (31.61 ± 7.33) kg/m2 respectively. The most frequent symptoms of presentation were shortness of breath (SOB), fever, and cough, and the most frequent comorbidity was diabetes mellitus, hypertension, and ischemic heart disease.

In the supplemental therapy, corticosteroid, tocilizumab and chloroquine were statistically significant (P = 0.001) when combined in the FVP group more than in the comparison group. Severe acute respiratory distress syndrome (ARDS) was more frequent among Favipiravir group, while the overall mortality rate among the Favipiravir group was not statistically significant (p-value 0.4).

Conclusion

According to the study’s results revealing FVP is not superior to other antivirals, patients who received Favipiravir presented with more severe symptoms, more comorbidities, more complications, and is not effective in controlling the cytokine storm which negatively impact the efficacy of Favipiravir.

FVP therapy had no influence on ICU and hospital length of stay in comparison with the control group as well as in the overall mortality rate among the FVP group was not statistically significant. further research is needed to understand how FVP along with other treatments can improve the length of stay among COVID-19 patients admitted to the ICU.

Clinical analysis of severe COVID-19 patients

BACKGROUND:

Patients with unexplained pneumonia appeared in Wuhan, Hubei Province at the end of 2019.

OBJECTIVE:

To analyze the clinical data of patients with severe COVID-19.

METHODS:

Medical records of 28 severe patients admitted to the intensive care unit of Wuhan Xinzhou District People’s Hospital were collected from January 31 to March 17.

RESULTS:

The mortality rate of severe patients in our study was 39.3%. There were statistically significant differences in age, admission systolic blood pressure, lymphocyte count, albumin, total bilirubin, and lactate dehydrogenase between the death group and the survival group (P< 0.05). There were statistically significant differences in APACHE II, CURB-65, SOFA, respiratory frequency, systolic pressure, platelet, procalcitonin, albumin, creatinine, creatine kinase isoenzyme, lactate dehydrogenase, chloride ion, prothrombin time, international normalized ratio, arterial partial pressure of oxygen, and FiO2 at ICU between the death group and the survival group (P< 0.05).

CONCLUSIONS:

Fever and cough are the main symptoms, which is useful for predicting the prognosis to dynamically measure the APACHE II, CURB-65, SOFA, respiratory frequency, lymphocyte count, platelet, lactate dehydrogenase, and coagulation tests. The drugs that protect the liver and heart may improve the survival rate of patients with severe COVID-19.

Questioning Established Theories and Treatment Methods Related to Iron and Other Metal Metabolic Changes, Affecting All Major Diseases and Billions of Patients

The medical and scientific literature is dominated by highly cited historical theories and findings [...].

Role of Polypeptide Inflammatory Biomarkers in the Diagnosis and Monitoring of COVID-19

The COVID-19 (coronavirus disease 2019) pandemic that took over the world in December 2019 has had everlasting devastating impacts on the lives of people globally. It manifests a huge symptom spectrum ranging from asymptomatic to critically ill patients with an unpredictable outcome. Timely diagnosis and assessment of disease severity is imperative for effective treatment. Possibilities exist that by the time symptoms appear the viral load might increase beyond control. However, it is advisable to get adequately diagnosed as soon as the first symptom appears. There is an immediate requirement of reliable biomarkers of COVID-19 manifesting an early onset for effective clinical management, stratification of high risk patients and ensuring ideal resource allocation. In this review, we attempt to explore and describe important polypeptide inflammatory biomarkers, namely C-reactive protein, Procalcitonin, Ferritin, Lactate Dehydrogenase, Serum amyloid A, Interleukin-6, Tumor necrosis factor-alpha and LIGHT used in the detection and management of COVID-19. Viral pathogenesis and the role of these inflammatory biomarkers is highlighted, based on the evidences available till date. An integrative data monitoring along with their correlation with the natural disease progression is of utmost importance in the management of COVID-19. So further research and in-depth analysis of these biomarkers is warranted in the present scenario.

Early procalcitonin to predict mortality in critically ill COVID-19 patients: a multicentric cohort study

BACKGROUND

High levels of procalcitonin (PCT) have been associated with a higher risk of mortality in COVID-19 patients. We explored the prognostic role of early PCT assessment in critically ill COVID-19 patients and whether PCT predictive performance would be influenced by immunosuppression.

METHODS

Retrospective multicentric analysis of prospective collected data in COVID-19 patients consecutively admitted to 36 intensive care units (ICUs) in Spain and Andorra from March to June 2020. Adult (>18 years) patients with confirmed COVID-19 and available PCT values (<72 hours from ICU admission) were included. Patients were considered as "No Immunosuppression" (NI), "Chronic Immunosuppression" (CI) and "Acute Immunosuppression" (AIT if only tocilizumab; AIS if only steroids, AITS if both). The primary outcome was the ability of PCT to predict ICU mortality.

RESULTS

Of the 1079 eligible patients, 777 patients were included in the analysis. Mortality occurred in 227 (28%) patients. In the NI group 144 (19%) patients were included, 67 (9%) in the CI group, 66 (8%) in the AIT group, 262 (34%) in the AIS group and 238 (31%) in the AITS group; PCT was significantly higher in non-survivors when compared with survivors (0.64 [0.17-1.44] vs. 0.23 [0.11-0.60] ng/mL; p<0.01); however, in the multivariable analysis, PCT values was not independently associated with ICU mortality. PCT values and ICU mortality were significantly higher in patients in the NI and CI groups.

CONCLUSIONS

PCT values are not independent predictors of ICU mortality in COVID-19 patients. Acute immunosuppression significantly reduced PCT values, although not influencing its predictive value.

Baseline procalcitonin as a predictor of bacterial infection and clinical outcomes in COVID-19: A case-control study

PURPOSE

Coronavirus disease-2019 (COVID-19) is associated with a wide spectrum of clinical symptoms including acute respiratory failure. Biomarkers that can predict outcomes in patients with COVID-19 can assist with patient management. The aim of this study is to evaluate whether procalcitonin (PCT) can predict clinical outcome and bacterial superinfection in patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).

METHODS

Adult patients diagnosed with SARS-CoV-2 by nasopharyngeal PCR who were admitted to a tertiary care center in Boston, MA with SARS-CoV-2 infection between March 17 and April 30, 2020 with a baseline PCT value were studied. Patients who were presumed positive for SARS-CoV-2, who lacked PCT levels, or who had a positive urinalysis with negative cultures were excluded. Demographics, clinical and laboratory data were extracted from the electronic medical records.

RESULTS

324 patient charts were reviewed and grouped by clinical and microbiologic outcomes by day 28. Baseline PCT levels were significantly higher for patients who were treated for true bacteremia (p = 0.0005) and bacterial pneumonia (p = 0.00077) compared with the non-bacterial infection group. Baseline PCT positively correlated with the NIAID ordinal scale and survival over time. When compared to other inflammatory biomarkers, PCT showed superiority in predicting bacteremia.

CONCLUSIONS

Baseline PCT levels are associated with outcome and bacterial superinfection in patients hospitalized with SARS-CoV-2.

Characterization of Covid-19 infected pregnant women sera using laboratory indexes, vibrational spectroscopy, and machine learning classifications

Herein, we show differences in blood serum of asymptomatic and symptomatic pregnant women infected with COVID-19 and correlate them with laboratory indexes, ATR FTIR and multivariate machine learning methods. We collected the sera of COVID-19 diagnosed pregnant women, in the second trimester (n = 12), third-trimester (n = 7), and second-trimester with severe symptoms (n = 7) compared to the healthy pregnant (n = 11) women, which makes a total of 37 participants. To assign the accuracy of FTIR spectra regions where peak shifts occurred, the Random Forest algorithm, traditional C5.0 single decision tree algorithm and deep neural network approach were used. We verified the correspondence between the FTIR results and the laboratory indexes such as: the count of peripheral blood cells, biochemical parameters, and coagulation indicators of pregnant women. CH₂ scissoring, amide II, amide I vibrations could be used to differentiate the groups. The accuracy calculated by machine learning methods was higher than 90%. We also developed a method based on the dynamics of the absorbance spectra allowing to determine the differences between the spectra of healthy and COVID-19 patients. Laboratory indexes of biochemical parameters associated with COVID-19 validate changes in the total amount of proteins, albumin and lipase.

Procalcitonin as a prognostic factor in patients with COVID-19 in southwestern Iran

BACKGROUND

There is increasing evidence supporting a central role of the viral-induced hyper-inflammatory immune response in the pathogenesis of COVID-19. Serum procalcitonin (PCT) is an emerging prognostic marker in coronavirus disease 2019 (COVID-19). The aim of this study was to investigate the relationship between serum procalcitonin and clinical severity and outcomes in patients with coronavirus disease 2019 (COVID-19).

MATERIALS AND METHODS

Hematological and biochemical parameters were evaluated in patients with COVID-19 infection from February to April 2020 at Hajar Hospital in the Shahrekord University of Medical Science, Shahrekord, Iran.

RESULTS

The results showed that total lymphocyte counts, albumin, calcium, and creatinine levels were significant different between the two moderate and severe groups, and the mean of procalcitonin level in COVID-19 patients with severe disease was higher (0.36 ng/mL) compared with the patients with moderate disease, and its level was found to be >5 ng/mL in 14.2% of5 ng/mL in 14.2% of patients in the former group.

CONCLUSIONS

PCT may be a marker of disease severity in COVID-19 and may contribute to determine the severity of patients infected with SARS-CoV-2. Moreover, serial PCT measurements may be beneficial in predicting the prognosis.

Ferritin - from iron, through inflammation and autoimmunity, to COVID-19

While it took decades to arrive to a conclusion that ferritin is more than an indicator of iron storage level, it took a short period of time through the COVID-19 pandemic to wonder what the reason behind high levels of ferritin in patients with severe COVID-19 might be. Unsurprisingly, acute phase reactant was not a satisfactory explanation. Moreover, the behavior of ferritin in patients with severe COVID-19 and the subsequent high mortality rates in patients with high ferritin levels necessitated further investigations to understand the role of ferritin in the diseases. Ferritin was initially described to accompany various acute infections, both viral and bacterial, indicating an acute response to inflammation. However, with the introduction of the hyperferritinemic syndrome connecting four severe pathological conditions such as adult-onset Still's disease, macrophage activation syndrome, catastrophic antiphospholipid syndrome, and septic shock added another aspect of ferritin where it could have a pathogenetic role rather than an extremely elevated protein only. In fact, suggesting that COVID-19 is a new member in the spectrum of hyperferritinemic syndrome besides the four mentioned conditions could hopefully direct further search on the pathogenetic role of ferritin. Doubtlessly, improving our understanding of those aspects of ferritin would enormously contribute to better coping with severe diseases in terms of treatment and prevention of complications. The origin, history, importance, and the advances of searching the role of ferritin in various pathological and clinical processes are presented hereby in our article. In addition, the implications of ferritin in COVID-19 are addressed.

Biomarkers of ageing and frailty may predict COVID-19 severity

Coronavirus Disease 2019 (COVID-19) is caused by the novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) - the culprit of an ongoing pandemic responsible for the loss of over 3 million lives worldwide within a year and a half. While the majority of SARS-CoV-2 infected people develop no or mild symptoms, some become severely ill and may die from COVID-19-related complications. In this review, we compile and comment on a number of biomarkers that have been identified and are expected to enhance the detection, protection and treatment of individuals at high risk of developing severe illnesses, as well as enable the monitoring of COVID-19 prognosis and responsiveness to therapeutic interventions. Consistent with the emerging notion that the majority of COVID-19 deaths occur in older and frail individuals, we researched the scientific literature and report the identification of a subset of COVID-19 biomarkers indicative of increased vulnerability to developing severe COVID-19 in older and frail patients. Mechanistically, increased frailty results from reduced disease tolerance, a phenomenon aggravated by ageing and comorbidities. While biomarkers of ageing and frailty may predict COVID-19 severity, biomarkers of disease tolerance may predict resistance to COVID-19 with socio-economic factors such as access to adequate health care remaining as major non-biomolecular influencers of COVID-19 outcomes.

Comparison of Clinical Characteristics and Outcomes of COVID-19 Between Young and Older Patients: A Multicenter, Retrospective Cohort Study

Background Outcomes of coronavirus disease 2019 (COVID-19) have been reported to be different in the young and elderly populations. However, previous studies examining these characteristics and differences in outcomes between the two groups had a small sample size. Therefore, in this study, we evaluate the differences between young and elderly patients using a large multicenter dataset. Methodology We conducted a retrospective study of 1,116 consecutive COVID-19 patients admitted to two hospitals in southern California in the United States between March 2020 and March 2021. In this study, we categorized patients into two age groups: less than 65 years and 65 years and above. Finally, Kaplan-Meier and backward selection Cox multivariate regression analyses were done using mortality as the dependent variable. Results Our analysis showed increased survival in patients aged less than 65 years compared to those aged 65 years or above (p < 0.001). Furthermore, in patients aged 65 years and above, age (hazard ratio (HR) = 1.05; p < 0.001), C-reactive protein (CRP) (HR = 1.05; p < 0.001), and bradycardia (HR = 2.1; p < 0.001) were significantly associated with mortality. Similarly, CRP (HR 1.05; p = 0.02) was significantly associated with mortality in patients aged less than 65 years. However, contrary to many studies, being male (HR = 0.46; p = 0.002) was protective against mortality in patients aged less than 65 years. Conclusions Our study showed that the predictors of mortality in COVID-19 patients differed by age group. While age, CRP, and bradycardia were associated with mortality in those aged less than 65 years, only CRP was associated with mortality in those aged 65 years and above.

Risk factors for oxygen requirement in hospitalized pregnant and postpartum women with COVID-19

OBJECTIVE

To identify risk factors for Oxygen (O₂) needs in pregnant and postpartum women with COVID-19.

METHODS

Prospective cohort involving pregnant women hospitalized with COVID-19 from April to October 2020. The oxygen need was analyzed regarding risk factors: demographic characteristics, clinical and laboratory parameters at hospital admission, and chest Computer Tomography (CT) findings. Poisson univariate analysis was used to estimate the Relative Risk (RR) and 95% Confidence Intervals.

RESULTS

145 patients, 80 who used and 65 who did not use O₂, were included. Body mass index ≥ 30, smoking, and chronic hypertension increased the risk of O₂ need by 1.86 (95% CI 1.10-3.21), 1.57 (95% CI 1.16‒2.12), and 1.46 (95% CI 1.09‒1.95), respectively. Patients who were hospitalized for COVID-19 and for obstetric reasons had 8.24 (95% CI 2.8‒24.29) and 3.44 (95% CI 1.05‒11.31) times more use of O₂ than those admitted for childbirth and abortion. Respiratory rate ≥ 24 breaths/min and O₂ saturation < 95% presented RR for O₂ requirements of 2.55 (1.82‒3.56) and 1.68 (95% CI 1.27-2.20), respectively. Ground Glass (GG) < 50% and with GG ≥ 50%, the risk of O₂ use were respectively 3.41-fold and 5.33-fold higher than in patients who haven't viral pneumonia on CT. The combination of C-reactive protein ≥ 21 mg/L, hemoglobin < 11.0 g/dL, and lymphopenia < 1500 mm³ on hospital admission increased the risk of O₂ use by 4.97-times.

CONCLUSIONS

In obstetric patients, clinical history, laboratory, clinical and radiological parameters at admission were identified as a risk for O₂ need, selecting the population with the greatest chance of worsening.

Calprotectin in viral systemic infections-COVID-19 versus hepatitis C virus

This study aims to evaluate differences in serum and fecal calprotectin in patients with HCV chronic hepatitis and COVID-19 infection and compare them to a control group. This observational study was performed between April 2020 and October 2020 in a single Internal Medicine center. We determined serum and fecal calprotectin, as well as levels of transaminases, C-reactive protein, ferritin, in 25 patients with COVID-19 infection, 30 patients with active HCV chronic infection and 38 patients with cured HCV infection. Serum levels of ALT, AST, C-reactive protein and ferritin were significantly higher in patients with COVID-19 infection (mean values of 127 IU/mL, 135 IU/mL, 123 mg/L and 1034 ng/mL, respectively) than in patients with active HCV infection (mean values of 68 IU/mL, 51 IU/mL, 17 mg/L and 528 ng/mL, respectively) or in patients with cured HCV infection (37 IU/mL, 29 IU/mL, 3.4 mg/L and 274 ng/mL, respectively). Also, serum and fecal calprotectin had increased concentrations in patients with COVID-19 (7.3 µg/mL and 394 µg/mg) versus patients with active hepatitis (2.4 µg/mL and 217 µg/mg) and patients with cured hepatitis (1.2 µg/mL and 38 µg/mg). Values were significantly higher in patients with digestive symptoms related to COVID-19. Serum and fecal calprotectin can be used as inflammatory markers in patients with active viral infections. In COVID-19, calprotectin concentrations can be correlated to the severity of disease, particularly in patients with digestive symptoms.

Elucidating the Role of Cardiac Biomarkers in COVID-19: A Narrative Evaluation with Clinical Standpoints and a Pragmatic Approach for Therapeutics

With the incidence of the unabated spreading of the COVID-19 (coronavirus disease 2019) pandemic with an increase in heart-related complications in COVID-19 patients, laboratory investigations on general health and diseases of heart have greater importance. The production of a higher level of clots in the blood in COVID-19 individuals carries a high risk of severe lethal pneumonia, pulmonary embolism, or widespread thromboembolism. The COVID-19 pandemic has raised awareness regarding the severe consequences for the cardiac system that might cause due to severe acute respiratory distress syndrome (SARS-CoV-2). COVID-19 causes acute respiratory distress syndrome (ARDS), acute myocardial infarction, venous thromboembolism, and acute heart failure in people with preexisting cardiac illness. However, as COVID-19 is primarily a respiratory infectious disease, there is still a lot of debate on whether and how cardiac biomarkers should be used in COVID-19 patients. Considering the most practical elucidation of cardiac biomarkers in COVID-19, it is important to note that recent findings on the prognostic role of cardiac biomarkers in COVID-19 patients are similar to those found in pneumonia and ARDS studies. The use of natriuretic peptides and cardiac troponin concentrations as quantitative variables should help with COVID-19/pneumonia risk classification and ensure that these biomarkers sustain their high diagnostic precision for acute myocardial infarction and heart failure. Serial assessment of D-dimers will possibly aid clinicians in the assortment of patients for venous thromboembolism imaging in addition to the increase of anticoagulation from preventive to marginally higher or even therapeutic dosages because of the central involvement of endothelitis and thromboembolism in COVID-19. Therefore, cardiac biomarkers are produced in this phase because of some pathological processes; this review will focus on major cardiac biomarkers and their significant role in COVID-19.

Plant bioactive compounds affecting biomarkers and final outcome of COVID-19

Herbal medicinal products are known for their widespread use toward various viral infections and ease of disease symptoms. Therefore, the sudden appearance of the Severe Acute Respiratory Syndrome-related Coronavirus 2 (SARS-CoV-2) and COVID-19 disease was no exception. Bioactive compounds from natural plant origin could act on several disease levels: through essential immunological pathways, affecting COVID-19 biomarkers, or by halting or modulating SARS-CoV-2. In this paper, we review the recently published data regarding the use of plant bioactive compounds in the prevention/treatment of COVID-19. The mode of actions responsible for these effects is discussed, including the inhibition of attachment, penetration and release of the virus, actions affecting RNA, protein synthesis and viral proteases, as well as other mechanisms. The reviewed information suggests that plant bioactive compounds can be used alone or in combinations, but upcoming, extensive and global studies on several factors involved are needed to recognize indicative characteristics and various patterns of bioactive compounds use, related with an array of biomarkers connected to different elements of inflammatory and immune-related processes of COVID-19 disease.

suPAR: An Inflammatory Mediator for Kidneys

Background

Inflammation is a common feature of many kidney diseases. The implicated inflammatory mediators and their underlying molecular mechanisms however are often not clear.

Summary

suPAR is the soluble form of urokinase-type plasminogen activator receptor (uPAR), associated with inflammation and immune activation. It has evolved into a unique circulating kidney disease factor over the last 10 years. In particular, suPAR has multiple looks due to enzymatic cleavage and alternative transcriptional splicing of the uPAR gene. Most recently, suPAR has emerged as a systemic mediator for COVID-19 infection, associated with lung as well as kidney dysfunction. Like membrane-bound uPAR, suPAR could interact with integrins (e.g., αvβ3 integrin) on podocytes, providing the molecular basis for some glomerular kidney diseases. In addition, there have been numerous studies suggesting that suPAR connects acute kidney injury to chronic kidney disease as a special kidney risk factor. Moreover, the implication of circulating suPAR levels in kidney transplantation and plasmapheresis not only indicates its relevance in monitoring for recurrence but also implies suPAR as a possible therapeutic target. In fact, the therapeutic concept of manipulating suPAR function has been evidenced in several kidney disease experimental models.

Key Messages

The last 10 years of research has established suPAR as a unique inflammatory mediator for kidneys. While open questions remain and deserve additional studies, modulating suPAR function may represent a promising novel therapeutic strategy for kidney disease.

Hematological changes associated with COVID-19 infection

BACKGROUND

The unresolved COVID-19 pandemic considerably impacts the health services in Iraq and worldwide. Consecutive waves of mutated virus increased virus spread and further constrained health systems. Although molecular identification of the virus by polymerase chain reaction is the only recommended method in diagnosing COVID-19 infection, radiological, biochemical, and hematological studies are substantially important in risk stratification, patient follow-up, and outcome prediction.

AIM

This narrative review summarized the hematological changes including the blood indices, coagulative indicators, and other associated biochemical laboratory markers in different stages of COVID-19 infection, highlighting the diagnostic and prognostic significance.

METHODS

Literature search was conducted for multiple combinations of different hematological tests and manifestations with novel COVID-19 using the following key words: "hematological," "complete blood count," "lymphopenia," "blood indices," "markers" "platelet" OR "thrombocytopenia" AND "COVID-19," "coronavirus2019," "2019-nCoV," OR "SARS-CoV-2." Articles written in the English language and conducted on human samples between December 2019 and January 2021 were included.

RESULTS

Hematological changes are not reported in asymptomatic or presymptomatic COVID-19 patients. In nonsevere cases, hematological changes are subtle, included mainly lymphocytopenia (80.4%). In severe, critically ill patients and those with cytokine storm, neutrophilia, lymphocytopenia, elevated D-dimer, prolonged PT, and reduced fibrinogen are predictors of disease progression and adverse outcome.

CONCLUSION

Monitoring hematological changes in patients with COVID-19 can predict patients needing additional care and stratify the risk for severe course of the disease. More studies are required in Iraq to reflect the hematological changes in COVID-19 as compared to global data.

Procalcitonin and High APACHE (Acute Physiological and Chronic Health Evaluation) Level Are Associated with the Course of Acute Kidney Injury in Patients with SARS-CoV-2

BACKGROUND

Acute kidney injury (AKI) is associated with poor outcomes in patients infected with SARS-CoV-2. Sepsis, direct injury to kidney cells by the virus, and severe systemic inflammation are mechanisms implicated in its development. We investigated the association between inflammatory markers (C-reactive protein, procalcitonin, D-dimer, lactate dehydrogenase, and ferritin) in patients infected with SARS-CoV-2 and the development of AKI.

METHODS

A prospective cohort study performed at the Civil Hospital (Dr. Juan I. Menchaca) Guadalajara, Mexico, included patients aged >18 years with a diagnosis of SARS-CoV-2 pneumonia confirmed by RT-PCR and who did or did not present with AKI (KDIGO) while hospitalized. Biomarkers of inflammation were recorded, and kidney function was estimated using the CKD-EPI formula.

RESULTS

291 patients were included (68% males; average age, 57 years). The incidence of AKI was 40.5% (118 patients); 21% developed stage 1 AKI, 6% developed stage 2 AKI, and 14% developed stage 3 AKI. The development of AKI was associated with higher phosphate (p = 0.002) (RR 1.39, CI 95% 1.13-1.72), high procalcitonin levels at hospital admission (p = 0.005) (RR 2.09, CI 95% 1.26-3.50), and high APACHE scores (p = 0.011) (RR 2.0, CI 95% 1.17-3.40). The survival analysis free of AKI according to procalcitonin levels and APACHE scores demonstrated a lower survival in patients with procalcitonin >0.5 ng/ml (p = 0.001) and APACHE >15 points (p = 0.004).

CONCLUSIONS

Phosphate, high procalcitonin levels, and APACHE levels >15 were predictors of AKI development in patients hospitalized with COVID-19.

Ferritin as prognostic marker in COVID-19: the FerVid study

BACKGROUND

In COVID-19 patients the progressive clinical deterioration seems secondary to the activation of a cytokine storm. Ferritin is considered a direct mediator of the immune system and some evidences suggested a shared physio-pathogenic basis between COVID-19 and 'Hyperferritinemic Syndromes.' The aim of our study was to evaluate the prognostic role of ferritin in COVID-19 patients.

METHODS

We retrospectively studied consecutive COVID-19 patients admitted to four Italian Internal Medicine Units. Role of potential prognostic markers was evaluated with binary logistic regression analysis and results were expressed as odds ratios (ORs) with the corresponding 95% confidence intervals (CIs). Poor outcome was defined as death or need to transfer in the intensive care unit.

RESULTS

Two hundred patients were included (mean age 68.75 ± 13.22 years). Ferritin value was highly elevated (>3000 ng/mL) in 8% of our population; 13% of patients were transferred to intensive care units and 12% of patients died. At multivariate analysis, highly elevated ferritin levels (OR 16.67 C.I. 4.89-57.57 p < 0.001) and hemoglobin < 10 g/dL (OR 8.88 C.I. 2.02-39.09 p = 0.004) were independently associated with a bad outcome.Patients with ferritin values > 3000 ng/ml appeared to have an inflammatory activation with elevated values of CRP and D-dimer and low values of lymphocyte count.

CONCLUSION

Our results confirm the prognostic role of ferritin in hospitalized COVID-19 patients. Patients with high ferritin levels should be considered critically ill and treated in an adequate setting. Furthermore, COVID-19 seems to share some characteristics with hyperferritinemic syndromes with potential therapeutic implications.

OUP accepted manuscript

Objective

To develop predictive models of coronavirus disease 2019 (COVID-19) outcomes, elucidate the influence of socioeconomic factors, and assess algorithmic racial fairness using a racially diverse patient population with high social needs.

Materials and Methods

Data included 7,102 patients with positive (RT-PCR) severe acute respiratory syndrome coronavirus 2 test at a safety-net system in Massachusetts. Linear and nonlinear classification methods were applied. A score based on a recurrent neural network and a transformer architecture was developed to capture the dynamic evolution of vital signs. Combined with patient characteristics, clinical variables, and hospital occupancy measures, this dynamic vital score was used to train predictive models.

Results

Hospitalizations can be predicted with an area under the receiver-operating characteristic curve (AUC) of 92% using symptoms, hospital occupancy, and patient characteristics, including social determinants of health. Parsimonious models to predict intensive care, mechanical ventilation, and mortality that used the most recent labs and vitals exhibited AUCs of 92.7%, 91.2%, and 94%, respectively. Early predictive models, using labs and vital signs closer to admission had AUCs of 81.1%, 84.9%, and 92%, respectively.

Discussion

The most accurate models exhibit racial bias, being more likely to falsely predict that Black patients will be hospitalized. Models that are only based on the dynamic vital score exhibited accuracies close to the best parsimonious models, although the latter also used laboratories.

Conclusions

This large study demonstrates that COVID-19 severity may accurately be predicted using a score that accounts for the dynamic evolution of vital signs. Further, race, social determinants of health, and hospital occupancy play an important role.

Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients

Background

Multiple parameters may be used to prognosticate coronavirus disease-2019 (COVID-19) patients, which are often expensive laboratory or radiological investigations. We evaluated the utility of age-adjusted Charlson comorbidity index (CCI) as a predictor of outcome in COVID-19 patients treated with remdesivir.

Materials and methods

This was a single-center, retrospective study on 126 COVID-19 patients treated with remdesivir. The age-adjusted CCI, length of hospital stay (LOS), need for invasive mechanical ventilation (IMV), and survival were recorded.

Results

The mean and standard deviation (SD) of age-adjusted CCI were 3.37 and 2.186, respectively. Eighty-six patients (70.5%) had age-adjusted CCI ≤4, and 36 (29.5%) had age-adjusted CCI >4. Among patients with age-adjusted CCI ≤4, 20 (23.3%) required IMV, whereas in those with age-adjusted CCI >4, 19 (52.8%) required IMV (p <0.05, Pearson's chi-square test). In those with age-adjusted CCI ≤4, the mortality was 18.6%, whereas it was 41.7% in patients with age-adjusted CCI >4 (p <0.05, Pearson's chi-square test). The receiver operating curve (ROC) of age-adjusted CCI for predicting the mortality had an area under the curve (AUC) of 0.709, p = 0.001, and sensitivity 68%, specificity 62%, and 95% confidence interval (CI) [0.608, 0.810], for a cutoff score >4. The ROC for age-adjusted CCI for predicting the need for IMV had an AUC of 0.696, p = 0.001, and sensitivity 67%, specificity 63%, and 95% CI [0.594, 0.797], for a cutoff score >4. ROC for age-adjusted CCI as a predictor of prolonged LOS (≥14 days) was insignificant.

Conclusion

In COVID-19 patients, the age-adjusted CCI is an independent predictor of the need for IMV (score >4) and mortality (score >4) but is not useful to predict LOS (CTRI/2020/11/029266).

How to cite this article

Shanbhag V, Arjun NR, Chaudhuri S, Pandey AK. Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients. Indian J Crit Care Med 2021;25(9):987-991.

Elevated De Ritis Ratio Is Associated With Poor Prognosis in COVID-19: A Systematic Review and Meta-Analysis

Objective: This meta-analysis aims to assess whether elevated De Ritis ratio is associated with poor prognosis in patients with coronavirus 2019 (COVID-19). Methods: A systematic literature search was performed using PubMed, Embase, and EuropePMC databases up until September 17, 2021. De Ritis ratio is also known as Aspartate aminotransferase/alanine transaminase (AST/ALT) ratio. The main outcome was poor prognosis, a composite of mortality, severity, the need for ICU care, and intubation. The effect measure was odds ratios (ORs) and mean differences. We generated sensitivity and specificity, negative and positive likelihood ratio (NLR and PLR), diagnostic odds ratio (DOR), and area under curve (AUC). Results: There were eight studies with 4,606 patients. De Ritis ratio was elevated in 44% of the patients. Patients with poor prognosis have higher De Ritis ratio [mean difference 0.41 (0.31, 0.50), p < 0.001; I 2: 81.0%] and subgroup analysis showed that non-survivors also have higher De Ritis Ratio [mean difference 0.47 (0.46, 0.48), p < 0.001; I 2: 0%]. Elevated De Ritis ratio was associated with poor prognosis [OR 3.28 (2.39, 4.52), p < 0.001; I 2: 35.8%]. It has a sensitivity of 55% (36-73), specificity of 71% (52-85), PLR 1.9, NLR.63, DOR of 3 (2-4), and AUC of.67 (0.63-0.71). The posterior probability of poor prognosis was 38% if De Ritis is elevated, while 17% if De Ritis is not elevated. Conclusion: Elevated De Ritis ratio is associated with poor prognosis in patients with COVID-19. Systematic Review Registration: PROSPERO ID: CRD42020216634.

An analysis of hematological, coagulation and biochemical markers in COVID-19 disease and their association with clinical severity and mortality: an Indian outlook

BACKGROUND

The "cytokine storm" (CS) in COVID-19 leads to the worst stage of illness which can be controlled only with timely intervention. There is an urgent need to identify laboratory markers of disease progression for optimum allocation of resources in developing countries like India.

METHODS

A cross-sectional study was conducted on 100 COVID-19 positive patients over two months. The cases were sub-classified based on disease severity into mild to moderate (n=61), severe (n=26) and very severe (n=13) and into survivors (n=85) and non-survivors (n=15) based on survivor status. These patients were tested for hematological parameters (total blood lymphocyte counts, NLR, PLR, platelet indices etc.), coagulation markers (D-dimer, fibrin degradation products (FDP), fibrinogen etc.) and biochemical markers (LDH, ferritin, IL-6, procalcitonin, hs-CRP).

RESULTS

Statistically significant differences were observed in hematological variables (ANC, NLR and ESR), coagulation parameters (D-dimer, FDP, fibrinogen and thrombin time) and biochemical markers (LDH, ferritin, IL-6, procalcitonin and hs-CRP) with regard to subcategories based of disease severity as well as survivor status. There was strong correlation between NLR, D-dimer, IL-6, procalcitonin and ferritin. IL-6 emerged as the single best marker of disease severity (AUC: 0.997, P=0.00), however procalcitonin, LDH, D-dimer, FDP and NLR could also predict severe disease with a good sensitivity and specificity.

CONCLUSION

To conclude, study demonstrates a plethora of biomarkers which could be utilized to accurately identify the hyperinflammation and tissue damage reminiscent of cytokine storm in COVID-19 patients so that timely, safe, and effective therapies can be administered to prevent progression and potentially reduce mortality.

Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19

Introduction

A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19.

Methods

We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome.

Results

Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were: ferritin: 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP: 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6: 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin: 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid: 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541).

Conclusion

Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes.

Recent Progress of Ferroptosis in Lung Diseases

Ferroptosis is a new form of programmed cell death due to iron-dependent excess accumulation of lipid peroxides and differs from other programmed cell deaths in morphological and biochemical characteristics. The process of ferroptosis is precisely regulated by iron metabolism, lipid metabolism, amino acid metabolism, and numerous signaling pathways, and plays a complex role in many pathophysiological processes. Recent studies have found that ferroptosis is closely associated with the development and progression of many lung diseases, including acute lung injury, pulmonary ischemia-reperfusion injury, lung cancer, chronic obstructive pulmonary disease, and pulmonary fibrosis. Here, we present a review of the main regulatory mechanisms of ferroptosis and its research progress in the pathogenesis and treatment of lung diseases, with the aim of providing new ideas for basic and clinical research of lung-related diseases.

The inflammatory biomarkers profile of hospitalized patients with COVID-19 and its association with patient's outcome: A single centered study

Several reports highlighted the central role of inflammation in the pathogenesis of corona virus disease-19 (COVID-19) disease. Also, the hyper-inflammatory response that is triggered by severe acute respiratory syndrom-Covid-2 (SARS-CoV-2) infection was believed to play an essential role in disease severity and adverse clinical course. For that reason, the classical inflammatory markers were proposed as a possible indicator for COVID-19 severity. However, an extensive analysis of the predictive value of inflammatory biomarkers in large patients' cohorts is still limited and critically needed. In this study we investigated the predictive value of the classical inflammatory biomarkers in a patient cohort consists of 541 COVID-19 patients admitted to Al Kuwait Hospital, Dubai, UAE. A detailed analysis of the association between the essential inflammatory markers and clinical characteristics as well as clinical outcome of the patients were made. In addition, the correlation between those markers and a wide range of laboratory biomarkers and incidence of acute organs injury were investigated. Our results showed a significant elevation of many inflammatory markers including white cell count (WBC) count, neutrophils count, C-reactive protein (CRP), D-Dimer, ferritin, procalcitonin (PCT), and lactate dehydrogenase (LDH) levels in patients with more severe illness. Also, our results highlighted that higher levels of those markers can predict worse patient outcome including the need of ventilation, intensive care unit (ICU) admission, multiple organs dysfunction as well as death. In addition, Our results showed that the presence of lymphopenia and lower absolute lymphocyte count (ALC) at the time of admission were associated with severe to critical COVID-19 illness (P<0.0001), presence of acute respiratory distress syndrome (ARDS) (P<0.0001) and the need for ventilation and ICU admission., Moreover, our results showed a strong association between lower ALC count and multiple organs dysfunction and patient's death (P<0.0001). In conclusion, our results highlighted the possible use of classical inflammatory biomarkers at time of admission as a potential predictive marker for more severe clinical course in COVID-19 patients that might need more aggressive therapeutic approach including the need of ventilators and ICU admission. The presence of such predictive markers might improve patient's stratification and help in the direction of the available resources to patients in need, which in turn help in improving our response to the disease pandemic.

Colchicine, COVID-19 and hematological parameters: A meta-analysis

INTRODUCTION

Colchicine has the potential in reducing patient morbidity and mortality in COVID-19 infection owing to its anti-inflammatory properties. This study aims to determine the efficacy of colchicine in optimizing inflammatory hematological biomarker levels among COVID-19 patients.

METHODS

In accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement guidelines, a systematic search was conducted using the following keywords: Colchicine, covid*, SARS-CoV-2, anti-inflammatory, trials, clinical, hematological, laboratory. Databases were searched from December 2019 until August 26, 2021: MEDLINE/PubMed, Web of Science, Cochrane, Scopus, and EMBASE. Other sources were located through ClinicalTrials.Gov, manually searching SAGE, Science Direct, Elsevier, and Google Scholar. The meta-analysis was conducted using Review Manager 5.4.

RESULTS

In total, six studies were included, of which four reported c-reactive protein (CRP) standardized mean reductions in the colchicine group (N = 165) as opposed to the control (N = 252; SMD = -0.49, p < 0.001). On noting lactate dehydrogenase (LDH) values post treatment, the colchicine group (N = 204) showed significant reductions at the end of treatment compared to control (N = 290; SMD = -0.85, p < 0.001). Finally, the D-dimer values in colchicine groups (N = 129) compared to control (N = 216) also documented a negative effect size (SMD = -0.9, p < 0.001).

CONCLUSION

Colchicine has efficacy in reducing inflammatory biomarkers observed in moderate-to-severe COVID-19 patients. It may be worthwhile to consider monitoring the clinical and laboratory parameters of patients in further trials to consider colchicine as a strong candidate for an adjunct to COVID-19 treatment.

Association of Inflammatory Markers with COVID-19 Outcome among Hospitalized Patients: Experience from a Tertiary Healthcare Center in Western India

Introduction: COVID-19 is a highly infectious disease and varies in the severity of presentation as well as survival outcome due to varied inflammatory responses. Hence, the present study is aimed to evaluate the role of inflammatory markers in predicting the outcome of COVID-19 in hospitalized patients. Methods: A total of 272 confirmed COVID-19 patients were included in the study. Clinical and demographic data were collected. Biochemical, hematological, and inflammatory markers were assessed in all patients. Disease severity and primary outcome as survival and or mortality were recorded. Results:Hematological indices and inflammatory markers were significantly higher among the non-survivors. Interleukin-6 (IL-6) can differentiate non-survivors from survivors with 100% sensitivity and 70.2% specificity, with a cut-off value of 79.6 in the receiver operator curve (ROC). As disease severity was increasing, IL-6 and C-reactive protein (CRP) were significantly increased among patients. Survival analysis showed that an elevated level of IL-6 was significantly associated with mortality and Cox regression analysis showed the hazard ratio (HR) of IL-6 was 0.996 (P<0.007). Conclusion:The results of the present study implicate that increased levels of IL-6 and CRP were significantly correlated with severity and mortality in COVID-19 patients. In addition, the dynamic measurement of neutrophil-to-lymphocyte (N/L) ratio, IL-6, and CRP in COVID-19 might be used as predictors of prognosis and outcome.

Fibrosis-4 index and mortality in coronavirus disease 2019: a meta-analysis

BACKGROUND/AIMS

In this meta-analysis, we aimed to evaluate the prognostic value of fibrosis-4 index (FIB-4) in COVID-19.

METHODS

We performed a comprehensive literature search of PubMed, Embase, and Scopus databases on 26 November 2020. FIB-4 was calculated by [age (years) × AST (IU/L)]/[platelet count (109/L) × √ALT (U/L)]. A value above cutoff point was considered high and a value below cutoff point was considered low. The main outcome was mortality, the association between high FIB-4 and mortality was reported in odds ratio (OR). Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic OR (DOR), area under the curve (AUC) were generated.

RESULTS

There were 963 patients from five studies included in this systematic review and meta-analysis. Meta-analysis showed that high FIB-4 was associated with increased mortality [OR 3.96 (2.16-7.27), P < 0.001; I2: 41.3%]. High FIB-4 was associated mortality with a sensitivity of 0.56 (0.40-0.70), specificity of 0.80 (0.72-0.86), PLR 2.8 (1.8-4.2), NLR 0.55 (0.39-0.78), DOR 5 (2-10), and AUC of 0.77 (0.73-0.81). Fagan's nomogram indicated that for a pre-test probability (mortality) of 30%, a high FIB-4 was associated with 54% post-test probability and a low FIB-4 was associated with 19%, respectively. The funnel-plot analysis was asymmetrical, trim-and-fill analysis by imputation of a study on the left side using linear estimator resulted in an OR of 3.48 (1.97-6.14). Egger's test showed no indication of small-study effects (P = 0.881).

CONCLUSION

High FIB-4 was associated with mortality in patients with COVID-19.

Coagulation profile and correlation between D-dimer, inflammatory markers, and COVID-19 severity in an Indonesian national referral hospital

Background

Coagulopathy and inflammation are associated with coronavirus disease 2019 (COVID-19) severity. This study assessed D-dimer concentration and its correlation with inflammatory markers and COVID-19 severity.

Methods

This was a retrospective cross-sectional study involving 194 COVID-19 cases, with the severity of infection graded in accordance with the World Health Organization (WHO) guidelines. We measured D-dimer, C-reactive protein (CRP), and ferritin on admission and determined the cutoff values for D-dimer and CRP and evaluated the correlation between D-dimer and CRP and ferritin.

Results

Median D-dimer, CRP, and ferritin concentrations were 2240 µg/L, 73.2 mg/L, and 1173.8 µg/mL, respectively. The highest median D-dimer value was seen in mild and moderate acute respiratory distress syndrome (ARDS). The highest ferritin concentration was seen in severe ARDS. There was a significant correlation between D-dimer value and CRP (r = 0.327), but no significant correlation between D-dimer and ferritin (r = 0.101). The area under the receiver operating characteristic curve (AUC) for the combination of CRP ≥72.65 mg/L and D-dimer ≥1250 µg/L as a marker of COVID-19 severity was 0.722 (95% confidence interval (CI): 0.615–0.781).

Conclusion

The combination of CRP ≥72.65 mg/L and D-dimer ≥1250 µg/L can be used as marker of COVID-19 severity, with moderate accuracy.

Predictive Modeling of Poor Outcome in Severe COVID-19: A Single-Center Observational Study Based on Clinical, Cytokine and Laboratory Profiles

Pneumonia is the main cause of hospital admission in COVID-19 patients. We aimed to perform an extensive characterization of clinical, laboratory, and cytokine profiles in order to identify poor outcomes in COVID-19 patients. Methods: A prospective and consecutive study involving 108 COVID-19 patients was conducted between March and April 2020 at Hospital Clínico Universitario de Valladolid (Spain). Plasma samples from each patient were collected after emergency room admission. Forty-five serum cytokines were measured in duplicate, and clinical data were analyzed using SPPS version 25.0. Results: A multivariate predictive model showed high hepatocyte growth factor (HGF) plasma levels as the only cytokine related to intubation or death risk at hospital admission (OR = 7.38, 95%CI—(1.28–42.4), p = 0.025). There were no comorbidities included in the model except for the ABO blood group, in which the O blood group was associated with a 14-fold lower risk of a poor outcome. Other clinical variables were also included in the predictive model. The predictive model was internally validated by the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.94, a sensitivity of 91.7% and a specificity of 95%. The use of a bootstrapping method confirmed these results. Conclusions: A simple, robust, and quick predictive model, based on the ABO blood group, four common laboratory values, and one specific cytokine (HGF), could be used in order to predict poor outcomes in COVID-19 patients.

Plasma Phospholipids: A Promising Simple Biochemical Parameter to Evaluate COVID-19 Infection Severity

BACKGROUND

Coronavirus-19 (COVID-19) pandemic is a worldwide public health problem that has been known in China since December 25, 2019. Phospholipids are structural components of the mammalian cytoskeleton and cell membranes. They suppress viral attachment to the plasma membrane and subsequent replication in lung cells. In the virus-infected lung, phospholipids are highly prone to oxidation by reactive oxygen species, leading to the production of oxidized phospholipids (OxPLs).

OBJECTIVE

This study was carried out to explain the correlation between the level of plasma phospholipids in patients with COVID-19 infection and the levels of cytokine storms to assess the severity of the disease.

METHODS

Plasma samples from 34 enrolled patients with mild, moderate, and severe COVID-19 infection were collected. Complete blood count (CBC), plasma levels of D-dimer, ferritin, C-reactive protein (CRP), cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), phospholipids, secretory phospholipase A2 (sPLA2)α2, and cytokine storms were estimated, and lung computed tomography (CT) imaging was detected.

RESULTS

The CBC picture showed the presence of leukopenia, lymphopenia, and eosinopenia in patients with COVID-19 infection. Furthermore, a significant increase was found in plasma levels of D-dimer, CRP, ferritin, tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, and IL-13 as well as sPLA2α2 activity compared to normal persons. However, plasma levels of phospholipids decreased in patients with moderate and severe COVID-19 infection, as well as significantly decreased in levels of triacylglycerols and HDL-C in plasma from patients with severe infection only, compared to normal persons. Furthermore, a lung CT scan showed the presence of inflammation in a patient with mild, moderate, and severe COVID-19 infection.

CONCLUSIONS

This study shows that there is a correlation between plasma phospholipid depletion and elevated cytokine storm in patients with COVID-19 infection. Depletion of plasma phospholipid levels in patients with COVID-19 infection is due to oxidative stress, induction of cytokine storm, and systemic inflammatory response after endothelial cell damage promote coagulation. According to current knowledge, patients with COVID-19 infection may need to administer surfactant replacement therapy and sPLA2 inhibitors to treat respiratory distress syndrome, which helps them to maintain the interconnected surfactant structures.

COVID-19 and Cardiovascular Complications: An Updated Review

COVID-19 has become a global pandemic. Patients with pre-existing comorbidities such as hypertension, diabetes, and cardiovascular disease (CVD) are associated with greater severity and higher mortality. COVID-19 can cause cardiovascular complications, including myocardial injury, myocarditis, heart failure, acute coronary syndrome, and coagulation abnormalities. Possible pathophysiology and molecular pathways driving these disease processes are cytokine release syndrome, RAAS system dysregulation, plaque destabilization and coagulation disorders  Myocarditis is one concern among persons who received mRNA-Based COVID-19 vaccines. There are several cardiovascular complications that are possibly caused by COVID-19 treatments, such as QT interval prolongation, arrhythmia, and hypotension. Due to increasingly recognized CVD damage in COVID-19, we need to understand about COVID-19 related to cardiovascular complications and treatment strategies.

The effects of aspirin on the outcome of COVID-19: A systematic review and meta-analysis

Background

Repurposing the use of aspirin to treat hospitalized patients with COVID-19 is a sensible approach. However, several previous studies showed conflicting results. This meta-analysis was aimed to assess the effect of aspirin on the outcome in patients with COVID-19.

Methods

Systematic search using relevant keywords was carried out via several electronic databases until February 21, 2021. Research studies on adults COVID-19 patients with documentation on the use of aspirin and reported our outcomes of interest were included in the analysis. Our main outcome of interest was all types of mortality, while the incidence of thrombosis and bleeding were considered as secondary outcomes. Estimated risk estimates of the included studies were then pooled using DerSimonian-Laird random-effect models regardless heterogeneity.

Results

Seven studies with a total of 34,415 patients were included in this systematic review and meta-analysis. The use of aspirin was associated with a reduced risk of mortality (RR 0.56, 95% CI 0.38–0.81, P = 0.002; I²: 68%, P = 0.005). Sensitivity analysis by differentiating in-hospital (active aspirin prescription) and pre-hospital use of aspirin could significantly reduce the heterogeneity (I²: 1%, P = 0.4). Only one study reported the incidence of major bleeding between aspirin and non-aspirin users (6.1% vs. 7.6%, P = 0.61). The association between the use of aspirin and the incidence of thrombosis were contradictory in two studies.

Conclusion

The use of aspirin was significantly associated with a reduced risk of mortality among patients with COVID-19. Due to limited studies, the effect of aspirin on the incidence of thrombosis and bleeding in patients with COVID-19 could not be drawn definitively.

Flower lose, a cell fitness marker, predicts COVID-19 prognosis

Risk stratification of COVID-19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe-Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool. Here, we evaluate whether hFwe-Lose gene expression can outperform conventional methods in predicting outcomes (e.g., death and hospitalization) in COVID-19 patients. We performed a post-mortem examination of infected lung tissue in deceased COVID-19 patients to determine hFwe-Lose's biological role in acute lung injury. We then performed an observational study (n = 283) to evaluate whether hFwe-Lose expression (in nasopharyngeal samples) could accurately predict hospitalization or death in COVID-19 patients. In COVID-19 patients with acute lung injury, hFwe-Lose is highly expressed in the lower respiratory tract and is co-localized to areas of cell death. In patients presenting in the early phase of COVID-19 illness, hFwe-Lose expression accurately predicts subsequent hospitalization or death with positive predictive values of 87.8-100% and a negative predictive value of 64.1-93.2%. hFwe-Lose outperforms conventional inflammatory biomarkers and patient age and comorbidities, with an area under the receiver operating characteristic curve (AUROC) 0.93-0.97 in predicting hospitalization/death. Specifically, this is significantly higher than the prognostic value of combining biomarkers (serum ferritin, D-dimer, C-reactive protein, and neutrophil-lymphocyte ratio), patient age and comorbidities (AUROC of 0.67-0.92). The cell fitness marker, hFwe-Lose, accurately predicts outcomes in COVID-19 patients. This finding demonstrates how tissue fitness pathways dictate the response to infection and disease and their utility in managing the current COVID-19 pandemic.

Fragmented QRS is a marker of mortality in patients with severe COVID-19: A retrospective observational study

OBJECTIVE

In this study, we aimed to investigate the association of fragmented QRS (f-QRS) with in-hospital death in patients with severe novel coronavirus disease 2019 (COVID-19).

METHODS

This was a retrospective and observational study. A total of 201 consecutive patients with severe COVID-19 were enrolled. Demographic data, laboratory parameters, medications, electrocardiographic (ECG) findings, and clinical outcomes were recorded. Patients with and without f-QRS were compared, and predictors of all-cause in-hospital mortality were analyzed.

RESULTS

A total of 135 patients without f-QRS (mean age of 64 years, 43% women) and 66 patients with f-QRS (mean age of 66 years, 39% women) were included. C-reactive protein (CRP), D-dimer, troponin I, ferritin levels, and CRP to albumin ratio were significantly higher in patients with f-QRS. The need for invasive mechanical ventilation (63.6% vs. 41.5%, p=0.003) and all-cause in-hospital mortality [54.5% vs. 28.9%, log rank p=0.001, relative risk 1.88, 95% confidence interval (CI) 1.16-4.78] were significantly higher in patients with f-QRS. A number value of f-QRS leads ≥2 yields sensitivity and specificity (85.3% and 86.7%, respectively) for predicting in-hospital all-cause mortality. Multivariable analysis showed that f-QRS (odds ratio: 1.041, 95% Cl: 1.021-1.192, p=0.040) were independently associated with in-hospital death.

CONCLUSION

This study revealed that the presence of f-QRS in ECG is associated with higher in-hospital all-cause mortality in patients with severe COVID-19. f-QRS is an easily applicable simple indicator to predict the risk of death in these patients.

Severe acute respiratory syndrome coronavirus 2 and respiratory syncytial virus coinfection in children

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has infected many people around the world. Children are considered an important target group for SARS-CoV-2, as well as other viral infections such as respiratory syncytial virus infection. Both SARS-CoV-2 and respiratory syncytial virus can affect the respiratory tract. Coinfection of SARS-CoV-2 and respiratory syncytial virus can pose significant challenges in terms of diagnosis and treatment in children. This review compares the symptoms, diagnostic methods, and treatment of COVID-19 and respiratory syncytial virus infection in children.

The Impact of Charlson Comorbidity Index on Mortality From SARS-CoV-2 Virus Infection

Introduction: Charlson Comorbidity Index (CCI) is a simple, validated, and readily acceptable method of determining the risk of mortality from comorbid disease. It has been used as a predictor of long-term survival and prognosis. The aim of this study is to determine the impact of CCI score on mortality in COVID-19 hospitalized patients and test the efficacy of the CoLACD score (COVID-19 lymphocyte ratio, age, CCI score, dyspnoea) in predicting mortality among hospitalized COVID-19 patients.

Methodology: It was a retrospective cohort, and the data of this study were gathered from two tertiary hospitals of Karachi, including Liaquat National Hospital and Ziauddin Hospital. Data of patients hospitalized in any of these tertiary care hospitals and diagnosed with confirmed COVID-19 infection were used in the study from January 15, 2021, to April 30, 2021.

Results: The mean age of participants was 53.22 (±14.21) years. The majority of participants were males (74.91%). Predictors of mortality include CCI score, age of participants, D-dimer, smoking status, and shortness of breath. The sensitivity of this CoLACD score was 80.23%, and specificity was 50.23% (diagnostic accuracy is 60.45%). The negative predictive value (NPV) of this test was 39.44%, and the positive predictive value (PPV) was 83.01%.

Conclusion: Our study showed that CCI can be used in a clinical setting to achieve a prediction of mortality in COVID-19 patients.

Proteinaceous Lung With COVID-19: The Mimicker

Pulmonary alveolar proteinosis (PAP) is a syndrome, in which surfactants get deposited slowly in alveoli, blocking the airway exchange. PAP severity also varies from mild to severe, presenting with dyspnea, cough, hemoptysis with or without fever. The radiological findings are ground-glass opacities along with septal thickening (Crazy Paving), consolidations, and less commonly air bronchograms. COVID-19 is a viral infection caused by SARS COV2 primarily affecting the lungs and causing atypical viral pneumonia. The clinical picture of the disease varies from a milder form of fever, dry cough with or without expectoration, to severe disease-causing respiratory distress, pneumonia, acute respiratory distress syndrome (ARDS), and even death. Radiologically, the findings of COVID-19 are similar to PAP. So, PAP mimics the COVID-19, posing a differential challenge, though our patient was a known case of PAP. Therefore, for proper management of the disease, it is important to differentiate it from other pathologies. In this case report, we describe a patient who was a known case of autoimmune pulmonary alveolar proteinosis. She presented with acute exacerbation in the emergency department and tested positive for COVID-19. We followed a systematic approach consisting of clinical, laboratory, radiologic parameters to differentiate the cause of this exacerbation.

Evaluation of zinc sulfate as an adjunctive therapy in COVID-19 critically ill patients: a two center propensity-score matched study

BACKGROUND

Zinc is a trace element that plays a role in stimulating innate and acquired immunity. The role of zinc in critically ill patients with COVID-19 remains unclear. This study aims to evaluate the efficacy and safety of zinc sulfate as adjunctive therapy in critically ill patients with COVID-19.

METHODS

Patients aged ≥ 18 years with COVID-19 who were admitted to the intensive care unit (ICU) in two tertiary hospitals in Saudi Arabia were retrospectively assessed for zinc use from March 1, 2020 until March 31, 2021. After propensity score matching (1:1 ratio) based on the selected criteria, we assessed the association of zinc used as adjunctive therapy with the 30-day mortality. Secondary outcomes included the in-hospital mortality, ventilator free days, ICU length of stay (LOS), hospital LOS, and complication (s) during ICU stay.

RESULTS

A total of 164 patients were included, 82 patients received zinc. Patients who received zinc sulfate as adjunctive therapy have a lower 30-day mortality (HR 0.52, CI 0.29, 0.92; p = 0.03). On the other hand, the in-hospital mortality was not statistically significant between the two groups (HR 0.64, CI 0.37-1.10; p = 0.11). Zinc sulfate use was associated with a lower odds of acute kidney injury development during ICU stay (OR 0.46 CI 0.19-1.06; p = 0.07); however, it did not reach statistical significance.

CONCLUSION

The use of zinc sulfate as an additional treatment in critically ill COVID-19 patients may improve survival. Furthermore, zinc supplementation may have a protective effect on the kidneys.

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

Background

Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics of the COVID-19 pandemic.

Objective

In this retrospective cohort study, we analyzed electronic health record (EHR) data from patients with SARS-CoV-2 infections hospitalized in participating health care systems representing 315 hospitals across 6 countries. We compared hospitalization rates, severe COVID-19 risk, and mean laboratory values between patients hospitalized during the first and second waves of the pandemic.

Methods

Using a federated approach, each participating health care system extracted patient-level clinical data on their first and second wave cohorts and submitted aggregated data to the central site. Data quality control steps were adopted at the central site to correct for implausible values and harmonize units. Statistical analyses were performed by computing individual health care system effect sizes and synthesizing these using random effect meta-analyses to account for heterogeneity. We focused the laboratory analysis on C-reactive protein (CRP), ferritin, fibrinogen, procalcitonin, D-dimer, and creatinine based on their reported associations with severe COVID-19.

Results

Data were available for 79,613 patients, of which 32,467 were hospitalized in the first wave and 47,146 in the second wave. The prevalence of male patients and patients aged 50 to 69 years decreased significantly between the first and second waves. Patients hospitalized in the second wave had a 9.9% reduction in the risk of severe COVID-19 compared to patients hospitalized in the first wave (95% CI 8.5%-11.3%). Demographic subgroup analyses indicated that patients aged 26 to 49 years and 50 to 69 years; male and female patients; and black patients had significantly lower risk for severe disease in the second wave than in the first wave. At admission, the mean values of CRP were significantly lower in the second wave than in the first wave. On the seventh hospital day, the mean values of CRP, ferritin, fibrinogen, and procalcitonin were significantly lower in the second wave than in the first wave. In general, countries exhibited variable changes in laboratory testing rates from the first to the second wave. At admission, there was a significantly higher testing rate for D-dimer in France, Germany, and Spain.

Conclusions

Patients hospitalized in the second wave were at significantly lower risk for severe COVID-19. This corresponded to mean laboratory values in the second wave that were more likely to be in typical physiological ranges on the seventh hospital day compared to the first wave. Our federated approach demonstrated the feasibility and power of harmonizing heterogeneous EHR data from multiple international health care systems to rapidly conduct large-scale studies to characterize how COVID-19 clinical trajectories evolve.

Procalcitonin Levels in COVID-19 Patients Are Strongly Associated with Mortality and ICU Acceptance in an Underserved, Inner City Population

Background and Objectives: This study aimed to identify demographic and clinical factors at the time of critical care consultation associated with mortality or intensive care unit acceptance in a predominantly Afro-Caribbean population during the first wave of the COVID19 pandemic. Materials and Methods: This retrospective, single-center observational cohort study included 271 COVID19 patients who received a critical care consult between March 11 and April 30, 2020 during the first wave of the COVID19 pandemic at State University of New York Downstate Health Sciences University. Results: Of the 271 patients with critical care consults, 33% survived and 67% expired. At the bivariate level, age, blood urea nitrogen, and blood neutrophil percentage were significantly associated with mortality (mean age: survivors, 61.62 ± 1.50 vs. non-survivors, 68.98 ± 0.85, p < 0.001). There was also a significant association between neutrophil% and mortality in the univariate logistic regression model (quartile 4 vs. quartile 1: odd ratio 2.73, 95% confidence interval (1.28–5.82), p trend = 0.044). In the multivariate analyses, increasing levels of procalcitonin and C-reactive protein were significantly associated with mortality, adjusting for age, sex, and race/ethnicity (for procalcitonin quartile 4 vs. quartile 1: odds ratio 5.65, 95% confidence interval (2.14–14.9), p trend < 0.001). In contrast, higher platelet levels correlated with significantly decreased odds of mortality (quartile 4 vs. quartile 1, odds ratio 0.47, 95% CI (0.22–0.998), p trend = 0.010). Of these factors, only elevated procalcitonin levels were associated with intensive care unit acceptance. Conclusions: Procalcitonin showed the greatest magnitude of association with both death and likelihood of intensive care unit acceptance at the bivariate level. Our data suggests that procalcitonin reflects pneumonia severity during COVID-19 infection. Thus, it may help the intensivist identify those COVID19 patients who require intensive care unit level care.

COVID-19 among African Americans and Hispanics: Does gastrointestinal symptoms impact the outcome?

BACKGROUND

The coronavirus disease 2019 (COVID-19) disproportionately affected African Americans (AA) and Hispanics (HSP).

AIM

To analyze the significant effectors of outcome in African American patient population and make special emphasis on gastrointestinal (GI) symptoms, laboratory values and comorbidities.

METHODS

We retrospectively evaluated the medical records of 386 COVID-19 positive patients admitted at Howard University Hospital between March and May 2020. We assessed the symptoms, including the GI manifestations, comorbidities, and mortality, using logistic regression analysis.

RESULTS

Of these 386 COVID-19 positive patients, 257 (63.7%) were AAs, 102 (25.3%) HSP, and 26 (6.45%) Whites. There were 257 (63.7%) AA, 102 (25.3%) HSP, 26 (6.45%) Whites. The mean age was 55.6 years (SD = 18.5). However, the mean age of HSP was the lowest (43.7 years vs 61.2 for Whites vs 60 for AAs). The mortality rate was highest among the AAs (20.6%) and lowest among HSP (6.9%). Patients with shortness of breath (SOB) (OR2 = 3.64, CI = 1.73-7.65) and elevated AST (OR2 = 8.01, CI = 3.79-16.9) elevated Procalcitonin (OR2 = 8.27, CI = 3.95-17.3), AST (OR2 = 8.01, CI = 3.79-16.9), ferritin (OR2 = 2.69, CI = 1.24-5.82), and Lymphopenia (OR2 = 2.77, CI = 1.41-5.45) had a high mortality rate. Cough and fever were common but unrelated to the outcome. Hypertension and diabetes mellitus were the most common comorbidities. Glucocorticoid treatment was associated with higher mortality (OR2 = 5.40, CI = 2.72-10.7). Diarrhea was prevalent (18.8%), and GI symptoms did not affect the outcome.

CONCLUSION

African Americans in our study had the highest mortality as they consisted of an older population and comorbidities. Age is the most important factor along with SOB in determining the mortality rate. Overall, elevated liver enzymes, ferritin, procalcitonin and C-reactive protein were associated with poor prognosis. GI symptoms did not affect the outcome. Glucocorticoids should be used judiciously, considering the poor outcomes associated with it. Attention should also be paid to monitor liver function during COVID-19, especially in AA and HSP patients with higher disease severity.

Prognostic value of C-reactive protein/albumin ratio in hypertensive COVID-19 patients

OBJECTIVES

The aim of this study was to investigate the relationship between the C-reactive protein/albumin ratio and the prognosis of hypertensive COVID-19 patients.

METHODS

It was designed as a single center retrospective study. PCR positive COVID-19 patients who were followed up in the intensive care unit (ICU) and received antihypertensive treatment were included in the study. The patients were divided into two groups as survivor and non-survivor. C-reactive protein/albumin (CAR) ratios of the patients were compared. The cut-off value was determined as a mortality predictor. The effect of CAR on mortality was evaluated using Logistic Regression analysis.

RESULTS

281 patients were included in the study. Groups consisted of 135 (non-survivor) and 146 (survivor) patients. CAR was significantly higher in the non-survivor group (p<0.001). The area under the ROC curve for CAR for mortality was 0.807, with sensitivity of 0.71 and specificity of 0.71. The cut-off value for CAR was calculated as 56.62. In logistic regression analysis, CAR increases mortality 4.9 times compared to the cut-off value.

CONCLUSION

CAR is a powerful and independent prognostic marker for predicting mortality and disease progression in hypertensive COVID-19 patients.

Application of CALL score for prediction of progression risk in patients with COVID-19 at university hospital in Turkey

BACKGROUND

The CALL score was developed as a predictive model for progressive disease. We aimed to validate and/or improve the performance of CALL score in our hospital settings.

METHODS

Adult patients with polymerase chain reaction-confirmed COVID-19 were included in this retrospective observational study. Clinical and laboratory characteristics (including complete blood count, CRP, ferritin, LDH, fibrinogen, d-dimer) were obtained. ROC analysis was used for the evaluation of CALL score's performance. Cox regression analyses were performed for the selection of new parameters for improving CALL score.

RESULTS

Overall, 256 patients were enrolled in the study. The median age was 54 (IQR, 22.5), 134 (52%) were women, 155 (61%) had at least one comorbidity, 60 (23%) had severe disease. The AUC value for CALL score for predicting progression to severe COVID-19 was 0.59 (95% CI 0.50-0.66). D-dimer on admission was associated with progressive disease (HR = 1.2 CI 95% 1.02-1.40), (P < .027).

CONCLUSION

The performance of the CALL score in our patient population was low compared with the original study. We found an additional parameter for predicting progressive COVID-19 disease, D-dimer, which may guide future studies to develop new scoring systems for predicting progressive disease.

Optimizing testing regimes for the detection of COVID-19 in children and older adults

Introduction: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is a major pandemic and continuously emerging due to unclear prognosis and unavailability of reliable detection tools. Older adults are more susceptible to COVID-19 than children showing mature Angiotensin-Converting Enzyme 2 (ACE2), low concentration of immune targets, and comorbid conditions. Several detection platforms have been commercialized to date and more are in pipeline, however, the rate of false-positive results and rapid mutation of SARS-CoV-2 is increasing. Additionally, physiological, and geographical variations of affected individuals are also calling for diagnostic methods optimization.Areas Covered: Extensive information related to the optimization and usefulness of SARS-CoV-2 diagnostic methods based on sensitivity and specificity as definitive and feasible investigative tools is discussed. Moreover, an option of combining laboratory diagnostic methods to improve diagnostic strategies is also proposed and discussed in the comparative section of optimization studies.Expert Opinion: The review article explains the importance of optimization strategies for SARS-CoV-2 detection in children and older adults. There are advancements in COVID-19 detection including CRISPR-based, electrochemical, and optical-based sensing systems. However, the lack of sufficient studies on a comparative evaluation of standardized SARS-CoV-2 diagnostic methods among children and older adults, limit the authentication of commercialized kits.