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BackgroundIn COVID-19 severe disease course such as need of intensive care unit (ICU) as well as development of mortality is mainly due to cytokine storm.ObjectivesIn this study, we aimed to evaluate the high dose intravenous anakinra treatment response and outcome in patients with severe and critical COVID-19 compared to standard of care.MethodsThis retrospective observational study was carried out at a tertiary referral center. The study population consisted of two groups as follows;the patients receiving high dose intravenous anakinra (anakinra group) between 01.09.2021 and 01.02.2022 and the patients treated with standard of care (SoC, control group) as historical control group who were hospitalized between 01.07.2021 and 01.09.2021.ResultsAfter the propensity score 1:1 matching 79 patients in anakinra and 79 patients in SoC matched and included into the analysis. Mean±SD patient age was 67.4±16.7 and 67.1±16.3 years in anakinra and SoC group, respectively (p=0.9). Male gender was 38 (48.7 %) in anakinra and 36 (46.2 %) SoC (p=0.8). Overall, ICU admission was in 14.1 % (n=11) and 30.8 % (n=24) (p=0.013;OR: 6.2), intubation in 12.8 % (n=10) and 16.7 % (n=13) patients (p=0.5), 14.1 % (n=11) and 32.1 % (n=25) patients died in anakinra and control group, respectively (p=0.008;OR: 7.1)ConclusionIn our study mortality was lower in patients receiving anakinra compared to SoC. Intravenous high dose anakinra is safe and effective treatment in patients with severe and critical COVID-19.Table 1.Baseline clinical and laboratory features of patients receiving standard of care (SoC) and Anakinra before and after propensity score (PS) matchingBefore PS matchingAfter PS matchingVariablesAnakinra (n=148)SoC (n=114)p value (OR)Anakinra (n=78)SoC (n=78)p value (OR)Age (years) (mean±SD)66.8±1763.1±170.0967.4±16.767.1±16.30.9Gender, male (n, %)78 (52.7)45 (39.5)0.033 (4.5)38 (48.7)36 (46.2)0.8Duration of hospitalization (days) (median, IQR)11 (12)9 (7.3)0.027.5 (9)11 (8)0.01Comorbidities (n, %) Diabetes mellitus41/146 (28.1)39 (34.2)0.318 (23)31 (39.7)0.025 (5) Hypertension84/143 (58.7)64 (56)0.730 (61.5)50 (64)0.7 Coronary heart disease27/143 (19)24 (21)0.718 (23)20 (25.6)0.7 Heart failure18/143 (12.6)23 (20)0.114 (18)20 (25.6)0.24 Chronic renal failure31 (21)6 (5.3)<0.001 (13.06)15 (19)6 (7.7)0.035 (4.5) Chronic obstructive lung disease23/144 (16)19 (16.7)0.914 (18)15 (19)0.8 Dementia15/117 (12.8)2 (1.8)0.001 (10.4)3/61 (5)2 (2.6)0.5 Malignancy16/146 (11)8 (7)0.39 (11.5)6 (7.7)0.4 Immunosuppressive usage18/146 (12.3)2 (1.8)0.001 (10.08)5 (6.5)2 (2.6)0.2Disease severity (n, %) NIH score 3 (severe)57 (38.5)68 (59.6)0.001 (11.5)48 (61.5)44 (56.4)0.5 NIH score 4 (critical)91 (61.5)46 (40.4)30 (38.5)34 (43.6) mcHIS score (mean±SD)3.4±1.22.64±1.5<0.0012.9±13.1±1.30.2PS: Propensity score, SoC: Standard of care, OR: Odds ratio, SD: Standard deviation, IQR: Interquartile range, mcHIS: Modified Covid hyperinflammatory syndrome score, NIH: National Institute Health, ALT: Alanin aminotransferase, AST: Aspartate aminotransferaseTable 2.Outcomes of patients receiving SoC and Anakinra before and after PS matchingBefore PS matchingAfter PS matchingVariables (n, %)Anakinra (n=148)SoC (n=114)p value (OR)Anakinra (n=78)SoC (n=78)p value (OR)Pneumothorax3/134 (2.2)00.25*2/73 (2.7)00.5*Myocardial infarction3/132 (2.3)6 (5.3)0.32/72 (2.8)2/56 (3.6)1Pulmonary embolism4/134 (3)11 (9.6)0.034 (4.8)*3/73 (4.1)7 (9)0.3*Intensive care unit60 (40.5)25 (22)0.001 (10.2)11 (14.1)24 (30.8)0.013 (6.2)Intubation54 (36.5)13 (11.4)<0.001 (21.3)10 (12.8)13 (16.7)0.5Mortality56 (37.8)27 (23.7)0.015 (5.96)11 (14.1)25 (32.1)0.008 (7.1)PS: Propensity score, SoC: Standard of care, OR: Odds ratioREFERENCES:NIL.Acknowledgements:NIL.Disclosure of InterestsNone Declared.
ABSTRACT
Background: Several predictive factors were described in COVID-19 during the pandemic, however there is limited data in severe/critically ill patients (pts) with COVID-19 who received biologic therapies including anakinra. Objectives: We aimed to evaluate the predictive factors of mortality in pts with severe and critically ill COVID-19 who received anakinra. Methods: Diagnosis of COVID-19 was confrmed by PCR and/or typical CT fnd-ings. Severe and critically ill pts according to NIH severity scale who received anakinra in the ward were evaluated retrospectively (1). Laboratory values at admission, highest levels and the last day of hospitalization were recorded. COVID hyperinfammatory syndrome score (cHIS) was calculated according to the highest levels of laboratory results (2). All pts received background steroid therapy with 80 mg methylprednisolone (or its equivalent). Anakinra was started in pts who did not respond to steroid therapy at least two days or concomitantly with steroids in pts with higher risk and/or critical illness at admission. Average starting dose of anakinra was 600 mg/day intravenously and increased gradually to 1600 mg/day if necessary. Results: Data of 148 pts (53 % male) were analyzed. Of those 57 pts (38.5 %) severe, 91 pts (61.5 %) had critical disease. Overall, 56 pts (37.8 %) died during the follow-up and intensive care unit admission was in 60 pts (40.5 %) and intubation in 54 pts (54.5 %). Diabetes mellitus was in 28 %, hypertension in 59 %, coronary heart disease in 19 %, heart failure in 12.6 %, chronic kidney failure in 21 %, chronic obstructive pulmonary disease in 16 %, dementia in 12.8 %, malignancy in 11 % and rheumatic disease in 5.6 % of pts. Only dementia signifcantly differed between pts had mortality and had not (p=0.005 OR:9.8). In univariable analysis;patient age, neutrophil to lymphocyte ratio (NLR), mean cHIS scores were higher in pts had mortality. Higher baseline, maximum and last values of CRP, LDH, ferritin, D-dimer levels were observed in pts had mortality. Mortality was also higher in pts with critically ill compared to severe disease In multivariate analysis;higher age (p=0.01 OR:1.05 CI: 1.01-1.09), cHIS score (p=0.002 OR:2.6 CI:1.4-4.9), critical illness compared to severe disease (p=0.02 OR:14 CI:1.6-122) were associated with mortality. In ROC analysis;cut-of values for cHIS score (3.5), NLR (7.1), CRP (160.5 mg/L), LDH (581 U/L), ferritin (771 ng/mL), D-dimer (7.56 mcg/mL) with 72/72, 69/70, 70/69, 72/75, 70/72, 70/73.4 sensitivity/specifcity were calculated, respectively. Conclusion: In our study mortality was developed in third of anakinra receiving pts. Mortality was independently associated with advanced age, critical illness and higher cHIS score refecting higher infammatory burden. Furthermore, highest levels of CRP, LDH, ferritin, D-dimer and higher cHIS score predict higher mortality in pts receiving anakinra. It is important to identify the pts with higher mortality risk to improve outcome.
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Background: A hyperinfammatory response compatible with features of macrophage activation syndrome (MAS) contributes to this worse outcome in patients with Coronavirus Disease 2019 (COVID-19). Glucocorticoids have become the standard of care for those requiring oxygen support or mechanical ventilation. More targeted anti-infammatory treatments with tocilizumab and anakinra have also been shown to be effective. Objectives: More studies are being awaited to clarify the features of patients who would beneft more, and we investigated the characteristics of the surviving and dead patients who received anakinra. Methods: The records of hospitalized adult patients between March 2020 and May 2021 in a tertiary referral center were evaluated. Diagnosis of COVID-19-re-lated MAS was based on the expert opinion and preliminary criteria developed by our group that patients with a score of ≥45 were accepted COVID-19-related MAS.1 Patients who received anakinra constituted the study group. Anakinra dose was determined according to the clinical and infammatory parameters;and doses varied between daily 100-300 mg SC to 400-800 mg IV. Laboratory data of surviving and died patients were comparatively analyzed by using the ANCOVA method on the relevant days (baseline, anakinra-onset day, frst response to anakinra treatment, and discharge or death). The temporal variation (drug onset day-frst response day, drug onset day-discharge, or death day) was evaluated using the ANOVA method. A 50% reduction of CRP compared to the anakinra start day was accepted as the frst response to the treatment. Results: Out of 1080 hospitalized patients, 218 (151 male, 67 female, mean age 60.0±14.1) who received anakinra were identifed. Among them, 125 (57.3%) patients were followed in the ward, 21 (9.6%) did not need oxygen treatment during the hospitalization;69 (31.6%) patients were followed at ICU, 40 of them were intubated, 30 (13.7%) died in ICU. Anakinra had been started in a mean of 4.8 days of hospitalization. Twenty had tocilizumab initially and then received anak-inra because of ongoing infammatory parameters. The majority (83.5%) received steroid treatment (79.5% methylprednisolone, 5% of dexamethasone), and 6 received one IV pulse 250 mg of methylprednisolone;36 (16.5%) were followed before September 2020 and received anakinra without steroids because of the standard of care at that period. Only CRP was different between the alive and dead patients for the baseline parameters (p=0.05). On the frst day of drug treatment, CRP and procalcitonin values were signifcantly higher in dead patients (Table 1). A 50% decrease in CRP level was achieved in 3.1 days in survivors and 4.7 days in dead patients. D-dimer (p=0.018), CRP (p=0.006), LDH (p=0.003), procalcitonin (p=0.005), creatinine kinase (p=0.001), and fbrinogen levels (p=0.05) were significantly different between the surviving and dead patients when the measurements between the frst drug administration day and response day were compared. Neu-trophil, lymphocyte count, ferritin, D-dimer, CRP, LDH, AST, procalcitonin, creati-nine kinase, and fbrinogen levels were signifcantly different between the patients when the parameters between the frst drug administration day and discharge/death day were compared. Dead patients had higher CRP values and they did not show a continuing CRP decrease with the steroids and anakinra (Figure 1). Conclusion: Retrospective analysis of 218 patients suggests that starting anakinra earlier in hospitalized patients may provide better results, and a decrease in CRP, ferritin, D-dimer values, as well as an increase in lymphocyte count, are associated with favorable outcomes. Increasing values of D-dimer and troponin during treatment are associated with worse outcomes, possibly indicating cardiovascular and thrombotic pathologies not responding to anakinra. Changes in the CRP values are found to help monitor the response to anakinra. Other infammatory pathways could be targeted in those who are not responding to appropriate doses of anakinra within 5 days.
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Background: Several anti-inflammatory drugs which were targeted different mechanisms and investigated for both prevention and treatment for COVID-19. Objectives: The current study aimed to investigate whether patients regularly using colchicine or hydroxychloroquine (HCQ) have an advantage of protection from COVID-19 or developing less severe disease. Methods: Patients who were taking colchicine or HCQ regularly for a rheumatic disease including Familial Mediterranean Fever, Behçet's syndrome, Systemic Lupus Erythematosus, Rheumatoid Arthritis and Sjogren's syndrome as well as their healthy household contacts as the control group were included into the study. The clinical data regarding COVID-19 were collected using a standard form, and serum samples were analyzed for anti-SARS-COV-2 nucleocapsid IgG. Patients treated with any biologic or immunosuppressive treatments were not included into the study. Results: A total of 635 regular colchicine users with their 643 household contacts and 317 regular HCQ users with their 333 household contacts were analyzed. Anti-SARS-Cov2 IgG was positive in 43 (6.8%) regular colchicine users and 35 (5.4%) household contacts (OR=1.3;95% CI:0.8-2;p=0.3) (Table 1). COVID-19 related symptoms were described by 29 (67.4%) of the patients and 17 (48.6%) household contacts (OR=2.2;95% CI:0.9-5.5;p=0.09), and hospital admission was observed in five (11.6%) and one (2.9%) of these subjects (OR=4.5;95% CI:0.5-40.2;p=0.1), respectively (Figure 1). Seropositive subjects were observed in 22 (6.9%) regular HCQ users and 24 (7.2%) household contacts (OR=1.1;CI:0.6-1.9;p=0.8) (Table 1). COVID-19-related symptoms occurred in 16 (72.7%) of the 22 patients and 12 (50%) of 24 household contacts (OR=2.7;95% CI:0.8-9.1;p=0.1). Three patients (13.6%) were admitted to hospital, while one household contact (4.2%) was hospitalized (OR=3.6;95% CI:0.3-37.8;p=0.2) (Figure 1). Disease-specific analyses disclosed that there was no significant difference in terms of COVID-19 frequency and severity between a particular disease subset and household contacts (Table 1). Univariate logistic regression analysis showed no effect of age and gender on the SARS-CoV-2 seroprevalence rate among regular colchicine or HCQ users and household contacts (p=0.2 and p=0.7, respectively for colchi-cine users versus contacts, p=0.7 and p=0.3, respectively for HCQ users versus contacts). Conclusion: Being on a regular treatment of colchicine or HCQ was not resulted in the prevention of COVID-19 or amelioration of its manifestations.
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Objective: Early detection of mortality risk is important in patients diagnosed with of coronavirus disease 2019 (COVID-19). Therefore, we aimed to evaluate the predictive value of different clinical and laboratory parameters in disease severity and mortality in patients with COVID-19. Materials and Methods: Patients admitted to hospital with a diagnosis of COVID-19 were evaluated retrospectively. The patients' admission date, discharge date, intensive care transfer/death date, contact history, smoking, symptoms at the time admission, vital markers at admission, and laboratory parameters were recorded. Results: The study included a total of 347 patients, of whom 168 (48.4%) were women. The mean age of the patients was 59.69 +/- 16.87 (14-97) years, while 40.9% (n=142) were aged over 65 years. Overall, 10.1% (n=35) of the patients required transfer to an intensive care unit and 8.4% (n=29) were deceased. When clinical parameters were evaluated at the time of admission, oxygen saturation was found to be lower in the group that died. (79.51 +/- 6.95) compared to the survivors (88.78 +/- 6.11) (p<0.001). Additionally, male gender (p=0.05), advanced age (p<0.001), positive PCR result (p=0.036), congestive heart failure (p=0.044), severe COVID-19 involvement on thorax CT (p<0.001), and presence of at least one comorbidity (p=0.003) were observed at a higher rate in the mortality group. In the multivariate analyses, increased values of the NLR (HR: 1.04, 95% CI: 1.00-1.08), creatinine (OR: 1.37, 95% CI: 1.13-1.66), CRP (=-0.18, OR: 0.98, 95% CI: 0.97-0.99), GGT (OR: 1.006, 95% CI: 1.001-1.012), age (OR: 5.67, 95% CI: 2.24-14.38), male gender (OR: 2.38, 95% CI: 0.98-5.75), and presence of any comorbidity (OR: 5.23, 95% CI: 2.08-13.13) were associated with mortality. Conclusions: Several clinical and laboratory parameters, such as advanced age, male gender, presence of any comorbidity, and NLR, GGT, CRP and creatinine levels at the time of admission can predict mortality in COVID-19 patients. These parameters obtained at the time of admission can contribute to the reduction of mortality through a closer clinical and laboratory follow-up in these patients.
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Background: COVID-19 runs a variable course resulting in acute respiratory distress syndrome and death in a subset of patients. The entry of SARS-CoV-2 into the cell stimulates innate immunity including NLRP3 inflammasome and lead to development of adaptive immunity later. Hyperinflammatory response with the release of proinflammatory cytokines including IL-1β and IL-6 results in cytokine storm in some patients with a worse outcome. Colchicine acts on NLRP3 inflammasome and inhibits and IL-1 mediated inflammatory attacks in gout and familial Mediterranean fever (FMF) patients. Patients with inadequate response to colchicine may benefit from anti-IL-1 biologic agents such as anakinra and canakinumab. Recently, favourable effects of anakinra have been observed in COVID-19 patients with findings of cytokine storm. Objectives: We aimed to evaluate the impact of COVID-19 among refractory FMF patients followed-up in tertiary referral with the treatment of biologic agents and also document the course of COVID-19 in these patients. Methods: We searched out database of FMF patients to identify those using biologic agents (anti-IL-1, anti-IL-6 or anti-TNF) for colchicine-refractory FMF. We interviewed the patients using a standard questionnaire by phone call for symptomatic COVID-19 and evaluated those patients who described findings of COVID-19 further by their hospital records or inviting them to the hospital for additional investigations. Results: We identified 183 patients and contacted 106 of them by phone in May-October 2020. A history of symptomatic COVID-19 was documented in 7 FMF patients who were on a biologic agent. Six were on anti-IL-1 and one was on anti-TNF, and one of the patients was not taking his biologic agents for 1 year. All of 7 patients had a favourable outcome. All but 1 patient followed at home and none of them developed findings of cytokine storm, thromboembolism and secondary bacterial infection. Hospitalized patient did not require intensive care unit (ICU) support or mechanical ventilation, and he was not given additional anti-inflammatory medications. Conclusion: This series of refractory FMF patients with potentially higher inflammatory characteristics showed COVID-19 did not result in a worse outcome in those patients during the first phase of the pandemic, and none developed findings of cytokine storm. Observations in these patients supports further that biologic agents blocking IL-1 and possibly TNF may contribute to the uneventful course of COVID-19 by preventing the development of hyperinflammatory response. Data collection from a larger group of patients, especially those with amyloidosis, will clarify the protective effects of colchicine and contribution of anti-IL-1 treatments on the favourable disease course during the second phase of the pandemic.
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Background: The negative impact of COVID-19 in patients with ANCA associated vasculitis (AAV) and patients on rituximab (RTX) treatment have been reported (1). Risk factors for severe course of COVID-19 and increased mortality in these patients are unclear. Objectives: To evaluate the course of COVID-19 in our AAV cohort and identifying risk factors for mortality. Methods: Patients with AAV who were classified according to CHCC and whose scheduled last visit were after December 2019 were screened and evaluated for COVID-19 either by phone call or in the clinic. Records of patients with a history of hospital admission due to COVID-19 were evaluated. Cumulative clinical findings and treatment history were noted. Hypogammaglobulinemia (hIgG) was defined as IgG level below 700 mg/dl. All inpatients with a diagnosis of COVID-19 were screened for hIgG and IVIG was administered if necessary. Results: Eighty-nine patients (47.2% female, mean age 56 + 12.5 (28-81)) were included into the study. The diagnosis was GPA in 56 (62.9%) and MPA in 33 (37.1%) patients. Mean follow up time was 91 + 53.4 (26-272) months. Anti-PR3 and anti-MPO were positive in 46 (51.7%) and 32 (35.9%) patients, respectively. Lower respiratory tract (LRT) involvement was present in 72 (80.9%) and 10 patients had a history of diffuse alveolar haemorrhage (DAH). Sixty-one patients (68.2%) had a history of rapidly progressive glomerulonephritis (RPGN) and 21 (23.6%) had peripheral nervous system (PNS) involvement. Fifteen (16.9%) patients had COVID-19;14 of them were PCR positive, one patient had symptoms and thorax CT findings compatible with COVID-19. Pulmonary infiltrates were observed in 13 patients (86.7%);9 (60%) had severe pneumonia. Twelve patients (85.7%) were hospitalized, 6 patients (42.9%) needed ICU admission and 5 patients (35.7%) died. Tocilizumab and anakinra for hyperinflammation during COVID-19 were used in 1 (6.7%) and 4 (26.7%) patients, respectively. Four out of five deceased patients (3 on RTX treatment, 1 with renal transplant) were in remission at the time of COVID-19. COVID-19 was detected in a patient with disease flare and DAH, during treatment with high dose steroids and plasmapheresis. hIgG was detected in all deceased patients from COVID-19 during hospital admission (mean IgG: 495±113.2 mg/dL). Symptomatic COVID-19 was more frequent in patients with a history of DAH, RPGN and hIgG. hIgG during the follow-up was significantly associated with COVID-19 in multivariable analysis (p=0.01, OR=20,6 %95 CI (2-210). Comparison of patients who died of COVID-19 and survived showed that female sex, PNS involvement and hIgG during the clinical course and hospital admission were risk factors for increased mortality (Table 1). Age, smoking, treatments, history of flares or serious infections, remission status and chronic renal insufficiency did not differ between groups. Conclusion: The frequency and mortality from COVID-19 is found to be high in our AAV cohort compared to previous reports (1). Patients with serious lung or renal involvement are prone to symptomatic COVID-19. Previously reported severe outcomes on RTX therapy might be related to consequent hIgG. High dose IVIG treatment may not be sufficient in improving survival in AAV patients with severe COVID-19 and hIgG.
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Background: COVID-19 runs a severe disease associated with acute respiratory distress syndrome in a subset of patients, and a hyperinflammatory response developing in the second week contributes to the worse outcome. Inflammatory features are mostly compatible with macrophage activation syndrome (MAS) observed in other viral infections despite resulting in milder changes. Early detection and treatment of MAS may be associated with a better outcome. However, available criteria for MAS associated with other causes have not been helpful. Objectives: To identify distinct features of MAS associated with COVID-19 using a large database enabling to assess of dynamic changes. Methods: PCR-confirmed hospitalized COVID-19 patients followed between March and September 2020 constituted the discovery set. Patients considered to have findings of MAS by experienced physicians and given anakinra or tocilizumab were classified as the MAS group and the remaining patients as the non-MAS group. The MAS group was then re-grouped as the cases with exact-MAS and borderline-MAS cases by the study group. Clinical and laboratory data including the Ct values of the PCR test were obtained from the database, and dynamic changes were evaluated especially for the first 14 days of the hospitalization. The second set of 162 patients followed between September-December 2020 were used as the replication group to test the preliminary criteria. In the second set, hospitalization rules were changed, and all patients required oxygen support and received dexamethasone 6mg/day or equivalent glucocorticoids. Daily changes were calculated for the laboratory items in MAS, borderline, and non-MAS groups to see the days differentiating the groups, and ROC curves and lower and upper limits (10-90%) of the selected parameters were calculated to determine the cutoff values. Results: A total of 769 PCR-confirmed hospitalized patients were analysed, and 77 of them were classified as MAS and 83 as borderline MAS patients. There was no statistically significant difference in the baseline viral loads of MAS patients compared to the non-MAS group according to the Ct values. Daily dynamic changes in the MAS group differed from the non-MAS group especially around the 6th day of hospitalization, and more than a twofold increase in ferritin and a 1.5-fold increase in D-dimer levels compared to the baseline values help to define the MAS group. Twelve items selected for the criteria are given in Table 1 below. The total score of 45 provided 79.6% sensitivity for the MAS (including borderline cases) and 81.3% specificity around days 5 and 6 in the discovery set, and a score of 60 increased the specificity to 94.9% despite a decrease in sensitivity to 40.8%. The same set provided a similar sensitivity (80.3%) in the replication, but a lower specificity (47.4-66% on days 6 to 9) due to a group of control patients with findings of MAS possibly masked by glucocorticoids. Conclusion: This study defined a set of preliminary criteria using the most relevant items of MAS according to the dynamic changes in the parameters in a group of COVID-19 patients. A score of 45 would be helpful to define a possible MAS group with reasonable sensitivity and specificity to start necessary treatments as early as possible.
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Since little is known about dysregulated hyperinflammatory immunological responses causing acute severe infection and multisystem inflammatory syndrome in children associated with coronavirus disease 2019 (COVID-19), the available data on therapies for severe presentations in children are very limited. Describing experiences of severe pediatric COVID-19 presentations in more detail will help improve clinical practice. In this case report, we describe the complete clinical course of a 9-year-old girl previously diagnosed with Angelman syndrome and high-risk T cell acute lymphoblastic leukemia who had been receiving reinduction chemotherapy, presented with pneumonia and acute respiratory distress syndrome, and progressively developed hyperferritinemic multiple-organ failure, a cytokine storm, and coagulopathy associated with COVID-19. She was treated with therapeutic plasma exchange, tocilizumab, hydrocortisone, and favipiravir, but she died 7 days after her admission into our pediatric intensive care unit. The utility of therapeutic plasma exchange with other immunomodulatory therapies in severe presentations requires further trials. The spectrum of the inflammatory phenotypes associated with COVID-19 should be investigated and well defined to initiate the optimal treatment strategy on time. © 2021 Georg Thieme Verlag. All rights reserved.
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Coronavirus disease 2019 (COVID-19) a recently recognised pandemic spreading rapidly from Wuhan, Hubei, to other provinces in China and to manyy countries around the world. The number of COVID-19-related deaths is steadily increasing. Acute ST-segment elevation myocardial infarction (STEMI) is a disease with high morbidity and mortality rates, and primary percutaneous coronary intervention is usually recommended for the treatment. A patient with diabetes mellitus and hypertension for five years was admitted to the emergency unit with symptoms of fever, cough and dyspnoea. These symptoms were consistent with viral pneumonia and a COVID PCR test was performed, which tested positive three days later. The patient had chest pain on the eighth day of hospitalisation. On electrocardiography, simultaneous acute inferior and anterior STEMI were identified. High levels of stress and increased metabolic demand in these patients may lead to concomitant thrombosis of different coronary arteries, presenting with two different STEMIs.