Refractoriness of Hyperkalemia and Hyperphosphatemia in Dialysis-Dependent AKI Associated with COVID-19.

Background: Persistent hyperkalemia (hyperK) and hyperphosphatemia (hyperP) despite renal replacement therapy (RRT) was anecdotally reported in COVID-19 and acute kidney injury (AKI) requiring RRT (CoV-AKI-RRT). However, observation bias could have accounted for the reports. Thus, we systematically examined the rate and severity of hyperK and hyperP in patients with CoV-AKI-RRT in comparison with the pre-COVID-19 era. Methods: We identified patients with CoV-AKI-RRT treated with sustained low-efficiency dialysis (SLED) for ≥2 days in March-April 2020. As pre-COVID-19 control, we included patients with AKI treated with SLED in December 2019. We examined the rates of hyperK (serum potassium [sK] ≥5.5 mEq/L), severe hyperK (sK ≥6.5 mEq/L), hyperP (serum phosphate [sP] ≥4.5 mg/dl), and moderate or severe hyperP (sP ≥7-10 and >10 mg/dl, respectively) as %SLED-days with an event. Results: Along the duration of SLED, the incidence of hyperK was greater in CoV-AKI-RRT (n=64; mean 19%±2% versus 14%±3% SLED-days, P=0.002) compared with control (n=60). The proportion of patients with one or more event of severe hyperK was greater in CoV-AKI (33% versus 7%, P<0.001). The incidence of hyperP was similar between groups (mean 56%±4% versus 53%±5% SLED-days, P=0.49). However, the proportion of patients with one or more event of moderate and severe hyperP was greater in CoV-AKI-RRT (86% versus 60%, P=0.001, and 50% versus 18%, P<0.001, respectively). Among those with CoV-AKI-RRT, sK and sP correlated with lactate dehydrogenase (LDH; r=0.31, P=0.04, and r=0.31, P=0.04, respectively), whereas hyperP also correlated with shorter SLED runs (hours/run; r=-0.27, P=0.05). Conclusions: Refractory hyperK and hyperP were more frequent in CoV-AKI-RRT compared with the pre-COVID-19 era. Because of the correlation of sK and sP with higher LDH and sP with shorter SLED runs, intracellular ion release from cell injury due to cytokine storm and RRT interruptions may account for the findings.

Clinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge.

This study investigated whether acute liver injury (ALI) persisted and identified predictors of ALI recovery [as indicated by alanine aminotransferase (ALT) level] at hospital discharge and 2 months post-discharge for 7595 hospitalized COVID-19 patients from the Montefiore Health System (03/11/2020-06/03/2021). Mild liver injury (mLI) was defined as ALT = 1.5-5 ULN, and severe livery injury (sLI) was ALT ≥ 5 ULN. Logistic regression was used to identify predictors of ALI onset and recovery. There were 4571 (60.2%), 2306 (30.4%), 718 (9.5%) patients with no liver injury (nLI), mLI and sLI, respectively. Males showed higher incidence of sLI and mLI (p < 0.05). Mortality odds ratio was 4.15 [95% CI 3.41, 5.05, p < 0.001] for sLI and 1.69 [95% CI 1.47, 1.96, p < 0.001] for mLI compared to nLI. The top predictors (ALT, lactate dehydrogenase, ferritin, lymphocytes) accurately predicted sLI onset up to three days prior. Only 33.5% of mLI and 17.1% of sLI patients (survivors) recovered completely at hospital discharge. Most ALI patients (76.7-82.4%) recovered completely ~ 2 months post-discharge. The top predictors accurately predicted recovery post discharge with 83.2 ± 2.2% accuracy. In conclusion, most COVID-19 patients with ALI recovered completely ~ 2 months post discharge. Early identification of patients at-risk of persistent ALI could help to prevent long-term liver complications.

Efficacy of anticytokine treatments added to corticosteroids in patients with COVID-19-associated pneumonia and hyperinflammation: a single center experience.

OBJECTIVE: Pneumonia and hyperinflammatory state related to COVID-19 infection are fatal clinical conditions without definite treatment modalities. Interleukin-6 and Interleukin-1 targeted therapies have been proposed as treatment options. This study was conducted to investigate the efficacy of anakinra and tocilizumab added to corticosteroids in patients with COVID-19-associated pneumonia and hyper-inflammatory syndrome in our tertiary clinical center. PATIENTS AND METHODS: Patients with COVID-19-associated pneumonia and hyperinflammatory state who did not respond to initial treatments, including corticosteroids, were included in the study. The patients' electronic records were reviewed retrospectively and recorded according to a standardized data table. Univariate and multivariate regression analyses were used to identify risk factors associated with intubation. RESULTS: 388 patients were included in the study. 197 patients were intubated and most of them died (n=194/197, 98%). 67 patients received tocilizumab, and 97 patients received anakinra. Anakinra [OR: 0.440, 95% CI=0.244-0.794, p=0.006] and tocilizumab [OR: 0.491, 95% CI=0.256-0.943, p=0.033] were both associated with a decreased risk for intubation. However, having a neutrophil/lymphocyte ratio ≥ 10 [OR: 2.035, 95% CI=1.143-3.623, p=0.016], serum lactate dehydrogenase (LDH) level ≥ 400 [OR: 3.160, 95% CI=1.937-5.156, p<0.001] and age ≥ 50 [OR: 4.048, 95% CI=2.037-8.043, p < 0.001] was associated with an increased risk for intubation. CONCLUSIONS: Both anakinra and tocilizumab, added to initial standard COVID-19 treatments (including glucocorticoids) reduced the need for intubation in patients with COVID-19-associated severe pneumonia and hyperinflammatory syndrome. Given the high mortality rate of intubated patients with COVID-19, both treatments may have added benefits on mortality.

Circulating tumor necrosis factor receptors are associated with mortality and disease severity in COVID-19 patients.

BACKGROUND: Although hyperinflammatory response influences the severity of coronavirus disease 2019 (COVID-19), little has been reported about the utility of tumor necrosis factor (TNF)-related biomarkers in reflecting the prognosis. We examined whether TNF receptors (TNFRs: TNFR1, TNFR2) and progranulin (PGRN) levels, in addition to interleukin 6 (IL-6) and C-reactive protein (CRP), are associated with mortality or disease severity in COVID-19 patients. METHODS: This retrospective study was conducted at Juntendo University Hospital. Eighty hospitalized patients with various severities of COVID-19 were enrolled. Furthermore, serum levels of TNF-related biomarkers were measured using enzyme-linked immunosorbent assay. RESULTS: Twenty-five patients died during hospitalization, and 55 were discharged. The median (25th and 75th percentiles) age of the study patients was 70 (61-76) years, 44 (55.0%) patients were males, and 26 (32.5%) patients had chronic kidney disease (CKD). When comparing with patients who received and did not receive treatment at the intensive care unit (ICU), the former had a higher tendency of being male and have diabetes, hypertension, and CKD; had higher levels of white blood cells, D-dimer, and lactate dehydrogenase; and had lower body mass index, estimated glomerular filtration rate, and lymphocyte counts. Significant differences were observed in TNFR, PGRN, IL-6, and CRP levels between each severity (mild-severe) group. Furthermore, the serum levels of TNFR, IL-6, and CRP, but not PGRN, in ICU patients were significantly higher than in the patients who were not admitted to the ICU. Multivariate logistic regression analysis demonstrated that high levels of TNFR2 were only associated with mortality in patients with COVID-19 even after adjustment for relevant clinical parameters. CONCLUSIONS: High TNFR2 level might be helpful for predicting mortality or disease severity in patients with COVID-19.

Delirium in Patients with COVID-19 in Japan.

Objective The incidence and clinical importance of delirium in coronavirus disease 2019 (COVID-19) have not yet been fully investigated. The present study reported the prevalence of delirium in patients with COVID-19 and identified the factors associated with delirium and mortality. Methods We performed an observational, retrospective study of patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Univariate and multivariate logistic regression analyses were used to explore delirium risk factors. Patients All consecutive patients diagnosed with COVID-19 at the Kinki-Chuo Chest Medical Center. Results We identified 600 patients [median age: 61.0 (interquartile range: 49.0-77.0) years old], of whom 61 (10.2%) developed delirium during their stay. Compared with patients without delirium, these patients were older (median age 84.0 vs. 56.0 years old, p<0.01) and had more comorbidities. Based on a multivariate analysis, age, dementia, severe disease, and lactate dehydrogenase (LDH) levels were independent risk factors for developing delirium. For every 1-year increase in age and 10-IU/L increase in LDH, the delirium risk increased by 10.8-12.0% and 4.6-5.7%, respectively. There were 15 (24.6%) in-hospital deaths in the group with delirium and 8 (1.6%) in the group without delirium (p<0.01). Delirium was associated with an increased mortality. Conclusion Delirium in patients with COVID-19 is prevalent and associated with poor clinical outcomes in Japan. Despite difficulties with COVID-19 patient care during the pandemic, physicians should be aware of the risk of delirium and be trained in its optimal management.

SARS-COV-ATE risk assessment model for arterial thromboembolism in COVID-19.

Patients with SARS-CoV-2 infection are at an increased risk of cardiovascular and thrombotic complications conferring an extremely poor prognosis. COVID-19 infection is known to be an independent risk factor for acute ischemic stroke and myocardial infarction (MI). We developed a risk assessment model (RAM) to stratify hospitalized COVID-19 patients for arterial thromboembolism (ATE). This multicenter, retrospective study included adult COVID-19 patients admitted between 3/1/2020 and 9/5/2021. Among 3531 patients from the training cohort, 15.5% developed acute in-hospital ATE, including stroke, MI, and other ATE, compared to 13.4% in the validation cohort. The 16-item final score was named SARS-COV-ATE (Sex: male = 1, Age [40-59 = 2, > 60 = 4], Race: non-African American = 1, Smoking = 1 and Systolic blood pressure elevation = 1, Creatinine elevation = 1; Over the range: leukocytes/lactate dehydrogenase/interleukin-6, B-type natriuretic peptide = 1, Vascular disease (cardiovascular/cerebrovascular = 1), Aspartate aminotransferase = 1, Troponin-I [> 0.04 ng/mL = 1, troponin-I > 0.09 ng/mL = 3], Electrolytes derangement [magnesium/potassium = 1]). RAM had a good discrimination (training AUC 0.777, 0.756-0.797; validation AUC 0.766, 0.741-0.790). The validation cohort was stratified as low-risk (score 0-8), intermediate-risk (score 9-13), and high-risk groups (score ≥ 14), with the incidence of ATE 2.4%, 12.8%, and 33.8%, respectively. Our novel prediction model based on 16 standardized, commonly available parameters showed good performance in identifying COVID-19 patients at risk for ATE on admission.

Association of SARS-CoV-2 IgG Antibody Levels with Clinical/Laboratory Characteristics in COVID-19 Patients: Data from a Turkish Study.

BACKGROUND: COVID-19 causes clinical manifestations ranging from asymptomatic infection to multi-organ failure. It is reported that those with severe disease have higher anti-SARS-CoV-2 antibody titers compared to asymptomatic or mild cases. We evaluated the correlation of antibody responses with laboratory and clinical indicators in COVID-19 patients. METHODS: Seventy-nine male and 66 female patients (mean age: 39) with at least one positive SARS-CoV-2 RT-PCR test and SARS-CoV-2 IgG antibody result after acute infection were included. RESULTS: Seventy-six (52%), 45 (31%), and 24 (17%) patients had mild, moderate, and severe clinical findings, respectively. Patients with high body mass index and advanced age had significantly more severe disease (p < 0.001). A significant correlation was found between the increase in lymphopenia, C-reactive protein, ferritin, D-dimer, and lactate dehydrogenase and the severity of clinical findings (p = 0.0001). SARS-CoV-2 IgG antibody test was positive in 128 (88.3%) patients. A significant correlation was found between disease severity and antibody levels in the comparison of all groups (p < 0.001). CONCLUSIONS: Long-term monitoring of immune responses will be required to determine the appropriate time for the administration of new vaccines.

A 14-Year-Old Boy With Neck Pain, Fevers, and Diffuse Erythematous Rash.

A previously healthy 14-year-old boy developed right-sided neck pain, tachycardia, a diffuse erythematous rash, and subjective fevers over 2 days. He sought medical attention in a local urgent care clinic, where he had a negative Sars-CoV-2 antigen test and was referred to the local emergency department (ED) for persistent tachycardia and further workup. After fluid resuscitation, his tachycardia was not improved, so he was admitted to the Pediatric Hospital Medicine Service. Physical examination showed large areas of erythema and erythroderma of multiple body sites, perioral sparing, increased erythema in flexor skin folds, posterior soft palate petechiae, and a white strawberry tongue. There was a small, tender lesion with surrounding erythema without discharge on his right neck thought to be a possible entry point for infection. Laboratory results showed thrombocytopenia, normal white blood cell count, normal hemoglobin concentration, absolute lymphopenia, and an elevated C-reactive protein (CRP) to 130 mg/L. He was started on intravenous fluids and antibiotics for a presumed infectious cause of the rash and laboratory findings. The next morning, an expanded diagnostic workup was undertaken including electrocardiogram, echocardiogram, ferritin, triglycerides, liver enzymes, lactate dehydrogenase (LDH), brain natriuretic peptide, coagulation studies, and fibrinogen. With treatment and supportive care, his tachycardia and energy improved, so he was discharged with oral antibiotics and follow-up with the Infectious Disease Clinic in 2 days. When seen in follow-up, he was immediately admitted to the hospital for worsening fatigue, tachycardia, and new findings that prompted multiple consultations, and transfer to pediatric critical care services.

Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients.

The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early and accurately as possible the severity level of the disease in a COVID-19 patient who is admitted to the hospital. This means identifying the contributing factors of mortality and developing an easy-to-use score that could enable a fast assessment of the mortality risk using only information recorded at the hospitalization. A large database of adult patients with a confirmed diagnosis of COVID-19 (n = 15,628; with 2,846 deceased) admitted to Spanish hospitals between December 2019 and July 2020 was analyzed. By means of multiple machine learning algorithms, we developed models that could accurately predict their mortality. We used the information about classifiers' performance metrics and about importance and coherence among the predictors to define a mortality score that can be easily calculated using a minimal number of mortality predictors and yielded accurate estimates of the patient severity status. The optimal predictive model encompassed five predictors (age, oxygen saturation, platelets, lactate dehydrogenase, and creatinine) and yielded a satisfactory classification of survived and deceased patients (area under the curve: 0.8454 with validation set). These five predictors were additionally used to define a mortality score for COVID-19 patients at their hospitalization. This score is not only easy to calculate but also to interpret since it ranges from zero to eight, along with a linear increase in the mortality risk from 0% to 80%. A simple risk score based on five commonly available clinical variables of adult COVID-19 patients admitted to hospital is able to accurately discriminate their mortality probability, and its interpretation is straightforward and useful.

Effect of EARLY administration of DEXamethasone in patients with COVID-19 pneumonia without acute hypoxemic respiratory failure and risk of development of acute respiratory distress syndrome (EARLY-DEX COVID-19): study protocol for a randomized controlled trial.

BACKGROUND: Corticosteroids are one of the few drugs that have shown a reduction in mortality in coronavirus disease 2019 (COVID-19). In the RECOVERY trial, the use of dexamethasone reduced 28-day mortality compared to standard care in hospitalized patients with suspected or confirmed COVID-19 requiring supplemental oxygen or invasive mechanical ventilation. Evidence has shown that 30% of COVID-19 patients with mild symptoms at presentation will progress to acute respiratory distress syndrome (ARDS), particularly patients in whom laboratory inflammatory biomarkers associated with COVID-19 disease progression are detected. We postulated that dexamethasone treatment in hospitalized patients with COVID-19 pneumonia without additional oxygen requirements and at risk of progressing to severe disease might lead to a decrease in the development of ARDS and thereby reduce death. METHODS/DESIGN: This is a multicenter, randomized, controlled, parallel, open-label trial testing dexamethasone in 252 adult patients with COVID-19 pneumonia who do not require supplementary oxygen on admission but are at risk factors for the development of ARDS. Risk for the development of ARDS is defined as levels of lactate dehydrogenase > 245 U/L, C-reactive protein > 100 mg/L, and lymphocyte count of < 0.80 × 109/L. Eligible patients will be randomly assigned to receive either dexamethasone or standard of care. Patients in the dexamethasone group will receive a dose of 6 mg once daily during 7 days. The primary outcome is a composite of the development of moderate or more severe ARDS and all-cause mortality during the 30-day period following enrolment. DISCUSSION: If our hypothesis is correct, the results of this study will provide additional insights into the management and progression of this specific subpopulation of patients with COVID-19 pneumonia without additional oxygen requirements and at risk of progressing to severe disease. TRIAL REGISTRATION: ClinicalTrials.gov NCT04836780. Registered on 8 April 2021 as EARLY-DEX COVID-19.

Mid-regional pro-adrenomedullin as a predictor of in-hospital mortality in adult patients with COVID-19: a single-centre prospective study.

BACKGROUND: To determine the predictive value of mid-regional pro-adrenomedullin (MR-proADM) compared to routine clinical and laboratory parameters in patients with COVID-19. METHODS: A total of 135 adult patients hospitalized with COVID-19 were included in a prospective single-centre study. In addition to routine parameters, the levels of MR-proADM in blood plasma were measured on the day of hospitalization. The patients were divided into 2 groups: those who survived and were discharged (n = 115, 85%) and those who did not survive (n = 20, 15%). Data are presented as median and interquartile range. RESULTS: The non-survivors had a statistically significantly greater age (73.4 [63.5-84.8] vs. 62.2 [50.3-71.4] years, P = 0.001), a lower level of haemoglobin oxygen saturation (91 [87-92] vs. 92 [92-93]%, P < 0.001), lower lymphocyte level (13 [7-30] vs. 21 [15-27]%, P = 0.03), higher lactate dehydrogenase (338 [273-480] vs. 280 [233-383] EU L-1, P = 0.04) and aspartate aminotransferase levels (49 [28-72] vs. 33 [23-47] EU L-1, P = 0.03), a higher National Early Warning (NEWS) score (7 [7- 8] vs. 6 [5-7] points, P < 0.001), and higher procalcitonin (0.16 [0.11-0.32] vs. 0.1 [0.07-0.18] ng mL-1, P = 0.006) and MR-proADM levels (1.288 [0.886-1.847] vs. 0.769 [0.6-0.955] nmol L-1, P < 0.001). MR-proADM had the highest predictive value for death during hospital stay (cut-off: 0.895 nmol L-1, AUC ROC 0.78 [95% CI: 0.66-0.90], sensitivity 75%, specificity 69%, OR 6.58 [95% CI: 2.22-19.51]). CONCLUSIONS: Compared with other indicators, MR-proADM has the highest predictive value for in-hospital mortality in patients with COVID-19.

Efficacy and safety of nitazoxanide in treating SARS-CoV-2 infection: a systematic review and meta-analysis of blinded, placebo-controlled, randomized clinical trials.

PURPOSE: Nitazoxanide is a broad-spectrum antiparasitic that has been tested for COVID-19 due to its anti-inflammatory effects and in vitro antiviral activity. This study synthesized the best evidence on the efficacy and safety of nitazoxanide in COVID-19. METHODS: Searches for studies were performed in peer-reviewed and grey-literature from January 1, 2020 to May 23, 2022. The following elements were used to define eligibility criteria: (1) Population: individuals with COVID-19; (2) Intervention: nitazoxanide; (3) Comparison: placebo; (4) Outcomes: primary outcome was death, and secondary outcomes were viral load, positive RT-PCR status, serum biomarkers of inflammation, composite measure of disease progression (ICU admission or invasive mechanical ventilation), and any adverse events; (5) Study type: blinded, placebo-controlled, randomized clinical trials (RCTs). Treatment effects were reported as relative risk (RR) for dichotomous variables and standardized mean difference (SMD) for continuous variables with 95% confidence intervals (CI). RESULTS: Five blinded, placebo-controlled RCTs were included and enrolled individuals with mild or moderate SARS-CoV-2 infection. We found no difference between nitazoxanide and placebo in reducing viral load (SMD = - 0.16; 95% CI - 0.38 to 0.05) and the frequency of positive RTP-PCR results (RR = 0.92; 95% CI 0.81 to 1.06). In addition, there was no decreased risk for disease progression (RR = 0.63; 95% CI 0.38 to 1.04) and death (RR = 0.81; 95% CI 0.36 to 1.78) among patients receiving nitazoxanide. Patients with COVID-19 treated with nitazoxanide had decreased levels of white blood cells (SMD = - 0.15; 95% - 0.29 to - 0.02), lactate dehydrogenase (LDH) (SMD - 0.32; 95% - 0.52 to - 0.13), and D-dimer (SMD - 0.49; 95% CI - 0.68 to - 0.31) compared to placebo, but the magnitude of effect was considered small to moderate. CONCLUSION: This systematic review showed no evidence of clinical benefits of the use of nitazoxanide to treat patients with mild or moderate COVID-19. In addition, we found a reduction in WBC, LDH, and D-dimer levels among nitazoxanide-treated patients, but the effect size was considered small to moderate.

Reliability of predictive models to support early decision making in the emergency department for patients with confirmed diagnosis of COVID-19: the Pescara Covid Hospital score.

BACKGROUND: The hospital management of patients diagnosed with COVID-19 can be hampered by heterogeneous characteristics at entry into the emergency department. We aimed to identify demographic, clinical and laboratory parameters associated with higher risks of hospitalisation, oxygen support, admission to intensive care and death, to build a risk score for clinical decision making at presentation to the emergency department. METHODS: We carried out a retrospective study using linked administrative data and laboratory parameters available in the initial phase of the pandemic at the emergency department of the regional reference hospital of Pescara, Abruzzo, Italy, March-June 2020. Logistic regression and Cox modelling were used to identify independent predictors for risk stratification. Validation was carried out collecting data from an extended timeframe covering other variants of concern, including Alpha (December 2020-January 2021) and Delta/Omicron (January-March 2022). RESULTS: Several clinical and laboratory parameters were significantly associated to the outcomes of interest, independently from age and gender. The strongest predictors were: for hospitalisation, monocyte distribution width ≥ 22 (4.09; 2.21-7.72) and diabetes (OR = 3.04; 1.09-9.84); for oxygen support: saturation < 95% (OR = 11.01; 3.75-41.14), lactate dehydrogenase≥237 U/L (OR = 5.93; 2.40-15.39) and lymphocytes< 1.2 × 103/µL (OR = 4.49; 1.84-11.53); for intensive care, end stage renal disease (OR = 59.42; 2.43-2230.60), lactate dehydrogenase≥334 U/L (OR = 5.59; 2.46-13.84), D-dimer≥2.37 mg/L (OR = 5.18; 1.14-26.36), monocyte distribution width ≥ 25 (OR = 3.32; 1.39-8.50); for death, procalcitonin≥0.2 ng/mL (HR = 2.86; 1.95-4.19) and saturation < 96% (HR = 2.74; 1.76-4.28). Risk scores derived from predictive models using optimal thresholds achieved values of the area under the curve between 81 and 91%. Validation of the scoring algorithm for the evolving virus achieved accuracy between 65 and 84%. CONCLUSIONS: A set of parameters that are normally available at emergency departments of any hospital can be used to stratify patients with COVID-19 at risk of severe conditions. The method shall be calibrated to support timely clinical decision during the first hours of admission with different variants of concern.

Disengaging the COVID-19 Clutch as a Discerning Eye Over the Inflammatory Circuit During SARS-CoV-2 Infection.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the cytokine release syndrome (CRS) and leads to multiorgan dysfunction. Mitochondrial dynamics are fundamental to protect against environmental insults, but they are highly susceptible to viral infections. Defective mitochondria are potential sources of reactive oxygen species (ROS). Infection with SARS-CoV-2 damages mitochondria, alters autophagy, reduces nitric oxide (NO), and increases both nicotinamide adenine dinucleotide phosphate oxidases (NOX) and ROS. Patients with coronavirus disease 2019 (COVID-19) exhibited activated toll-like receptors (TLRs) and the Nucleotide-binding and oligomerization domain (NOD-), leucine-rich repeat (LRR-), pyrin domain-containing protein 3 (NLRP3) inflammasome. The activation of TLRs and NLRP3 by SARS-CoV-2 induces interleukin 6 (IL-6), IL-1ß, IL-18, and lactate dehydrogenase (LDH). Herein, we outline the inflammatory circuit of COVID-19 and what occurs behind the scene, the interplay of NOX/ROS and their role in hypoxia and thrombosis, and the important role of ROS scavengers to reduce COVID-19-related inflammation.

Utility of D-dimers in COVID-19 Patients Requiring Extracorporeal Membrane Oxygenation.

A retrospective study was performed examining the trend of inflammatory markers, including D-dimers, in 29 COVID-19 patients requiring veno-venous (VV) extracorporeal membrane oxygenation (ECMO) support. We observed that COVID-19 patients with pre-cannulation D-dimer levels >3,000 ng/mL had a significantly shorter time from admission to cannulation (4.78 vs . 8.44 days, p = 0.049) compared to those with D-dimer <3,000 ng/mL. Furthermore, patients with D-dimer >3,000 ng/mL had a trend of lower pH (7.24 vs . 7.33), higher pCO 2 (61.33 vs . 50.69), and higher vasoactive inotropic score (7.23 vs . 3.97) at time of cannulation, however, these were not statistically significant. This cohort of patients also required a longer duration of ECMO support (51.44 vs . 31.25 days). However, 13 patients required at least one ECMO-circuit exchange and 16 patients did not require any exchanges. There was a consistent drop in D-dimer values after every circuit exchange, which was not observed in any of the other examined inflammatory markers, including ferritin, lactate dehydrogenase, or C-reactive protein. We propose that elevated D-dimer levels (>3,000 ng/mL) reflect increased disease severity in COVID-19, and predict a longer ECMO course. Once on ECMO, however, the D-Dimer level consistently decreased with every circuit exchange, which may reflect thrombus within the oxygenator rather than just disease severity.

Effect of Virus Inactivation by Heating on Routine Clinical Laboratory Indicators in Serum.

BACKGROUND: Highly infectious viruses such as SARS-CoV-2, MERS-CoV, and Ebola virus represent a threat to clinical laboratory workers. We aimed to investigate how virus inactivation by heating at 60°C for 1 hour affects routine clinical laboratory indicators. METHODS: Each collected serum sample was separated into two aliquots, and various indicators were measured in first aliquot after inactivation by heating at 60°C for 1 hour and in the second after room-temperature incubation for 1 hour. RESULTS: Serological test results for 36 indicators remained mostly unaffected by heat inactivation, with a mean estimated bias of < 10%. By contrast, the results for alanine transaminase, pseudocholinesterase, creatine kinase, lactate dehydrogenase, cardiac troponin I, and myoglobin were affected by heat inactivation, with the mean esti-mated bias here being > 20%, which was further increased in the case of the results for alkaline phosphatase, lipase, and creatine kinase isoenzyme MB. Immunological serological measurements showed good agreement according to Kappa consistency checks after heat inactivation of serum. The results for alanine transaminase, pseudocholinesterase, creatine kinase, lactate dehydrogenase, cardiac troponin I, and myoglobin were significantly correlated (r > 0.95) after heat inactivation, and after correction by using a regression equation, the results for the indicators still retained a clinical reference value. CONCLUSIONS: Inactivation by heating at 60°C for 1 hour exerts no marked effect on numerous routine biochemical and immunological indicators in serum, but the detection values for certain items are significantly decreased. Our method could serve as reference strategy for routine serological diagnostics in patients with suspected or confirmed infection with highly pathogenic viruses.

Triaging of COVID-19 patients using low dose chest CT: Incidence and factor analysis of lung involvement on CT images.

INTRODUCTION: Despite an increase in CT studies to evaluate patients with coronavirus disease 2019 (COVID-19), their indication in triage is not well-established. The purpose was to investigate the incidence of lung involvement and analyzed factors related to lung involvement on CT images for establishment of the indication for CT scans in the triaging of COVID-19 patients. METHODS: Included were 192 COVID-19 patients who had undergone CT scans and blood tests for triaging. Two radiologists reviewed the CT images and recorded the incidence of lung involvement. The prediction model for lung involvement on CT images using clinico-laboratory variables [age, gender, body mass index, oxygen saturation of the peripheral artery (SpO2), comorbidities, symptoms, and blood data] were developed by multivariate logistic regression with cross-validation. RESULTS: In 120 of the 192 patients (62.5%), CT revealed lung involvement. The patient age (odds ratio [OR]; 4.95, 95% confidence interval [CI]; 0.93-26.49), albumin (OR; 4.66, 95%CI; 1.37-15.84), lactate dehydrogenase (OR; 5.79, 95%CI; 1.43-23.38) and C-reactive protein (OR; 8.93, 95%CI; 4.13-19.29) were selected for the final prediction model for lung involvement on CT images. The cross-validated area under the receiver operating characteristics (ROC) curve was 0.83. CONCLUSIONS: The high incidence of lung involvement (62.5%) was confirmed on CT images. The proposed prediction model that includes the patient age, albumin, lactate dehydrogenase, and C-reactive protein may be useful for predicting lung involvement on CT images and may assist in deciding whether triaged COVID-19 patients should undergo CT.

The role of lactate in sepsis and COVID-19: Perspective from contracting skeletal muscle metabolism.

NEW FINDINGS: What is the topic of this review? Lactate is considered an important substrate for mitochondria in the muscles, heart and brain during exercise and is the main gluconeogenetic precursor in the liver and kidneys. In this light, we review the (patho)physiology of lactate metabolism in sepsis and coronavirus disease 2019 (COVID-19). What advances does it highlight? Elevated blood lactate is strongly associated with mortality in septic patients. Lactate seems unrelated to tissue hypoxia but is likely to reflect mitochondrial dysfunction and high adrenergic stimulation. Patients with severe COVID-19 exhibit near-normal blood lactate, indicating preserved mitochondrial function, despite a systemic hyperinflammatory state similar to sepsis. ABSTRACT: In critically ill patients, elevated plasma lactate is often interpreted as a sign of organ hypoperfusion and/or tissue hypoxia. This view on lactate is likely to have been influenced by the pioneering exercise physiologists around 1920. August Krogh identified an oxygen deficit at the onset of exercise that was later related to an oxygen 'debt' and lactate accumulation by A. V. Hill. Lactate is considered to be the main gluconeogenetic precursor in the liver and kidneys during submaximal exercise, but hepatic elimination is attenuated by splanchnic vasoconstriction during high-intensity exercise, causing an exponential increase in blood lactate. With the development of stable isotope tracers, lactate has become established as an important energy source for muscle, brain and heart tissue, where it is used for mitochondrial respiration. Plasma lactate > 4 mM is strongly associated with mortality in septic shock, with no direct link between lactate release and tissue hypoxia. Herein, we provide evidence for mitochondrial dysfunction and adrenergic stimulation as explanations for the sepsis-induced hyperlactataemia. Despite profound hypoxaemia and intense work of breathing, patients with severe coronavirus disease 2019 (COVID-19) rarely exhibit hyperlactataemia (> 2.5 mM), while presenting a systemic hyperinflammatory state much like sepsis. However, lactate dehydrogenase, which controls the formation of lactate, is markedly elevated in plasma and strongly associated with mortality in severe COVID-19. We briefly review the potential mechanisms of the lactate dehydrogenase elevation in COVID-19 and its relationship to lactate metabolism based on mechanisms established in contracting skeletal muscle and the acute respiratory distress syndrome.

Prognostic value of neutrophile-to-lymphocyte ratio (NLR) and lactate dehydrogenase (LDH) levels for geriatric patients with COVID-19.

AIM: In this study it was aimed to evaluate the prognostic factors for the geriatric patients with confirmed COVID-19 in a tertiary-care hospital at Kastamonu region of Turkey. METHOD: Patients (≥65-year-old) who had PCR positivity for COVID-19 between March 2020 and April 2020 in our center were recorded retrospectively. A p value less than 0.05 was considered significant. Ethical committee approval was given from the Bolu University with decision number 2020/176. RESULTS: There were a total of 100 patients (44% female). In-hospital mortality was recorded as 7%. In univariate analysis for 1 month mortality, diabetes mellitus (p = 0.038), leucocyte count (p = 0.005), neutrophile count (p = 0.02), neutrophile-to-lymphocyte ratio (NLR) (p < 0.001), thrombocyte-to-lymphocyte ratio (TLR) (p = 0.001), C-reactive protein (CRP) (p = 0.002), lactate dehydrogenase (LDH) (p = 0.001), sequential organ failure assessment (SOFA) score (p = 0.001) and qSOFA score (p = 0.002) were found as independent risk factors. On admission, one point increase of NLR (p = 0.014, odds ratio (OR) = 1.371, 95% CI = 1.067-1.761) and one point increase of LDH (p = 0.047, OR = 1.011, 95% CI = 1.001-1.023) were associated with mortality on day 30 according to logistic regression analysis. The cut-off values were found as > 7.8 for NLR (83.33% sensitivity, 97.7% specificity) and > 300 U/L for LDH (100% sensitivity, 79.31% specificity) regarding the prediction of 30-day mortality. CONCLUSION: In order to improve clinical management and identify the geriatric patients with COVID-19 who have high risk for mortality, NLR and LDH levels on admission might be useful prognostic tools.

COVID-19 Sequelae and the Host Proinflammatory Response: An Analysis From the OnCovid Registry.

BACKGROUND: Fifteen percent of patients with cancer experience symptomatic sequelae, which impair post-COVID-19 outcomes. In this study, we investigated whether a proinflammatory status is associated with the development of COVID-19 sequelae. METHODS: OnCovid recruited 2795 consecutive patients who were diagnosed with Severe Acute Respiratory Syndrome Coronavirus 2 infection between February 27, 2020, and February 14, 2021. This analysis focused on COVID-19 survivors who underwent a clinical reassessment after the exclusion of patients with hematological malignancies. We evaluated the association of inflammatory markers collected at COVID-19 diagnosis with sequelae, considering the impact of previous systemic anticancer therapy. All statistical tests were 2-sided. RESULTS: Of 1339 eligible patients, 203 experienced at least 1 sequela (15.2%). Median baseline C-reactive protein (CRP; 77.5 mg/L vs 22.2 mg/L, P < .001), lactate dehydrogenase (310 UI/L vs 274 UI/L, P = .03), and the neutrophil to lymphocyte ratio (NLR; 6.0 vs 4.3, P = .001) were statistically significantly higher among patients who experienced sequelae, whereas no association was reported for the platelet to lymphocyte ratio and the OnCovid Inflammatory Score, which includes albumin and lymphocytes. The widest area under the ROC curve (AUC) was reported for baseline CRP (AUC = 0.66, 95% confidence interval [CI]: 0.63 to 0.69), followed by the NLR (AUC = 0.58, 95% CI: 0.55 to 0.61) and lactate dehydrogenase (AUC = 0.57, 95% CI: 0.52 to 0.61). Using a fixed categorical multivariable analysis, high CRP (odds ratio [OR] = 2.56, 95% CI: 1.67 to 3.91) and NLR (OR = 1.45, 95% CI: 1.01 to 2.10) were confirmed to be statistically significantly associated with an increased risk of sequelae. Exposure to chemotherapy was associated with a decreased risk of sequelae (OR = 0.57, 95% CI: 0.36 to 0.91), whereas no associations with immune checkpoint inhibitors, endocrine therapy, and other types of systemic anticancer therapy were found. CONCLUSIONS: Although the association between inflammatory status, recent chemotherapy and sequelae warrants further investigation, our findings suggest that a deranged proinflammatory reaction at COVID-19 diagnosis may predict for sequelae development.