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1.
BMC Nephrol ; 22(1): 411, 2021 12 11.
Article in English | MEDLINE | ID: covidwho-1571745

ABSTRACT

BACKGROUND: We report a case of a 25-year-old male patient, who developed acquired thrombotic thrombocytopenic purpura (aTTP) after receiving a first dose of mRNA-based SARS-CoV-2 vaccine Spikevax (mRNA-1273, Moderna Biotech, USA). While this is the first case in literature describing a case of aTTP after receiving the Spikevax vaccine, there are two other cases after mRNA-based Covid-19 vaccine and two after adenoviral SARS-CoV-2 vaccine. CASE PRESENTATION: The patient presented with persisting malaise, fever, headache, word-finding difficulties, nausea, vomiting, petechial bleeding, and hematuria 13 days after receiving a first dose of vaccination. Laboratory testing showed low platelet count, Coombs-negative hemolytic anemia, and mild acute kidney injury. We excluded vaccine induced immune thrombotic thrombocytopenia (VITT) as another important differential diagnosis and the final diagnosis was established after ADAMTS-13 (A Disintegrin And Metalloproteinase with a ThromboSpondin type 1 motif, member 13) activity was found to be < 1% (reference range > 40%) and ADAMTS-13 antibodies being 72.2 IU/L (reference range < 12 IU/L). We initiated empiric therapy of plasmapheresis and corticosteroids on admission and started caplacizumab the day after. The patient's thrombocyte count normalized 3 days after admission, hemolysis and acute kidney injury resolved after 2 weeks. The patient received 2 doses of rituximab (1 g each) after the diagnosis of immune TTP was established. One month after the initial presentation, the patient is in good overall condition, but still receives daily caplacizumab due to ADAMTS-13 activity of < 1%. CONCLUSIONS: Low platelet count after vaccination against SARS-CoV-2 has gained attraction after vaccine-induced immune thrombotic thrombocytopenia (VITT) has been described as a rare but severe complication of adenoviral-based vaccines. Thrombotic thrombocytopenic purpura (TTP) is an important differential diagnosis, but there are only few reports of TTP following SARS-CoV-2 vaccination. Despite pathophysiological and clinical differences of both entities, diagnostic uncertainty can result in the acute setting, since they share main symptoms such as headache and neurological alterations in addition to thrombocytopenia. In difference to other cases reported, this patient developed first symptoms of TTP as early as 4 days after vaccination, which suggests that vaccination merely acted as trigger for occult TTP, instead of truly inducing an autoimmunological process.


Subject(s)
/adverse effects , COVID-19/prevention & control , Purpura, Thrombotic Thrombocytopenic/chemically induced , Adult , Humans , Male , Platelet Count , Purpura, Thrombotic Thrombocytopenic/therapy , SARS-CoV-2
2.
J Med Virol ; 94(1): 211-221, 2022 01.
Article in English | MEDLINE | ID: covidwho-1544338

ABSTRACT

Prognostic predictors are of paramount interest for prompt intervention and optimal utilization of the healthcare system in the ongoing context of the COVID-19 pandemic. The platelet-to-lymphocyte count ratio (PLR), has emerged as a potential tool for risk stratification of critically ill patients with sepsis. The current systematic review explores the utility of PLR as a prognostic predictor of COVID-19 patients. We screened the electronic databases until May 15, 2021 after enrolling in PROSPERO (CRD42021220269). Studies evaluating the association between PLR on admission and outcomes in terms of mortality and severity among COVID-19 patients were included. We retrieved 32 studies, with a total of 2768 and 3262 COVID-19 patients for mortality and disease severity outcomes. Deceased and critically ill patients had higher PLR levels on admission in comparison to survivors and non-severe patients (mean differences [MD] = 66.10; 95% confidence interval [CI]: 47.75-84.44; p < 0.00001 and MD = 86.74; 95% CI: 67.7-105.7; p < 0.00001, respectively). A higher level of PLR on admission in COVID-19 patients is associated with increased morbidity and mortality. However, the evidence is of low quality and further studies regarding the cut-off value of PLR are the need of the hour.


Subject(s)
COVID-19/blood , COVID-19/diagnosis , Lymphocyte Count , Platelet Count , COVID-19/mortality , COVID-19/physiopathology , Humans , Prognosis , Severity of Illness Index
3.
Eur Rev Med Pharmacol Sci ; 25(21): 6731-6740, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1524861

ABSTRACT

OBJECTIVE: The aim of the study was to determine the association between platelet indices and disease severity, and outcomes of the patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in a secondary hospital. PATIENTS AND METHODS: 722 hospitalized patients who had positive rRT-PCR for SARS-CoV-2 and/or typical findings of COVID-19 at chest computed tomography (CT) were enrolled in this study. Initial platelet count (PLT) and indices, including mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), MPV/PCT, MPV/PLT, PDW/PLT, PDW/PCT on admission and the third day of hospitalization, and their relationship with disease severity and outcomes were evaluated retrospectively. RESULTS: The mean age of the patients was 57.2±15.6 years (range: 16-94) and male/female ratio was 1.22. 81.9% of the patients had moderate and 11.8% had severe disease. 1.8% of the patients had thrombocytopenia at admission. The patients transferred to the intensive care unit (ICU) had significantly lower baseline lymphocyte counts, PLT, PCT, and 3rd day lymphocyte counts when compared with the patients in wards. ICU patients also had higher baseline CRP, LDH, ferritin, MPV/PCT, MPV/PLT, PDW/PLT, PDW/PCT ratios, and 3rd day PDW, CRP, LDH, and ferritin levels than the patients in wards. Mortality was associated with lower baseline lymphocyte counts, PLT, PCT, 3rd day lymphocyte counts and PCT. Higher baseline CRP, LDH, ferritin, MPV/PCT, PDW/PLT, PDW/PCT and 3rd day CRP, LDH, ferritin, procalcitonin, PDW, MPV/PCT, PDW/PLT, and PDW/PCT ratios were also associated with poor prognosis. CONCLUSIONS: Platelet count and ratios were significantly associated with mortality in patients with COVID-19.


Subject(s)
Blood Platelets/cytology , COVID-19/pathology , Adolescent , Adult , Aged , Aged, 80 and over , Area Under Curve , COVID-19/mortality , COVID-19/virology , Female , Humans , Intensive Care Units , Male , Middle Aged , Platelet Count , Prognosis , ROC Curve , Retrospective Studies , SARS-CoV-2/isolation & purification , Severity of Illness Index , Survival Analysis , Young Adult
4.
Saudi Med J ; 42(4): 370-376, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1513257

ABSTRACT

OBJECTIVES: To assess the neutrophil-to-lymphocyte ratio (NLR) diagnostic and prognostic value in the context of Coronavirus disease-2019 (COVID-19) infection in Saudi Arabia. METHODS: A case-control study in which 701 confirmed COVID-19 patients (of which 41 were intensive care unit [ICU]-admitted) and 250 control subjects were enrolled. The study was conducted retrospectively in October on patients admitted to 3 separate hospitals in Saudi Arabia namely: King Abdullah Bin Abdulaziz University Hospital (Riyadh), Ohud Hospital (Madinah), and Nojood Medical Center (Madinah) between May and September 2020. Neutrophil-to-lymphocyte ratio was calculated based on absolute neutrophil and lymphocyte count. Institutional ethical approval was obtained prior to the study. RESULTS: Patients (median age 35 years), of which 54.8% were females, were younger than the control cohort (median age 48 years). Patients had significantly higher NLR compared to the control group. Intensive care unit admitted patients had significantly higher platelet, WBC and neutrophil counts. The ICU patients' NLR was almost twice as of the non-intensive patients. The NLR value of 5.5 was found to be of high specificity (96.4%) and positive predictive value (91.4%) in diagnosing COVID-19. Furthermore, it had a very good sensitivity (86.4%) in predicting severe forms of disease, such as, ICU admission. CONCLUSION: Neutrophil-to-lymphocyte ratio is an important tool in determining the COVID-19 clinical status. This study further confirms the prognostic value of NLR in detecting severe infection, and those patients with high NLR should be closely monitored and managed.


Subject(s)
COVID-19/diagnosis , Lymphocyte Count , Neutrophils , Adult , Blood Cell Count , COVID-19/blood , Case-Control Studies , Female , Hospitalization , Humans , Intensive Care Units , Leukocyte Count , Male , Middle Aged , Platelet Count , Predictive Value of Tests , Prognosis , Retrospective Studies , SARS-CoV-2 , Saudi Arabia , Sensitivity and Specificity , Severity of Illness Index
5.
Saudi Med J ; 42(11): 1223-1228, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1502888

ABSTRACT

OBJECTIVES: To investigate the relationship of the neutrophil lymphocyte ratio (NLR) and the platelet lymphocyte ratio (PLR) with lung involvement and total lung severity score (TLSS) in computed tomography (CT) of patients with coronavirus disease -19 (COVID-19) and to evaluate their clinical usability. METHODS: Basic laboratory, clinical features and imaging data of patients was obtained by examining the file and archive records of our hospital. According to the findings of lung CT scan at the time of diagnosis among COVID-19 patients, 2 groups were formed. RESULTS: The NLR was 2.22±11.15 and the PLR was 142.77±387.10 in patients with COVID-19 pneumonia. The NLR was 1.88±7.47 and the PLR was 130.65±203.6 8 in patients without COVID-19 pneumonia. The differences in the NLR and the PLR were determined to be statistically significant between the 2 groups. A positive correlation was observed between NLR and PLR (r=0.225, p=0.010) and TLSS (r=0.244, p=0.005). CONCLUSION: This study showed that the NLR and PLR values can be 2 inflammatory markers that can be used to evaluate lung involvement and disease severity in COVID-19 patients. At the time of initial diagnosis and during follow-up, these markers can give an idea in terms of prognosis, together with other clinical findings and markers.


Subject(s)
COVID-19 , Neutrophils , Blood Platelets , Humans , Lung , Lymphocyte Count , Lymphocytes , Platelet Count , Prognosis , Retrospective Studies , SARS-CoV-2
6.
Sci Rep ; 11(1): 19713, 2021 10 05.
Article in English | MEDLINE | ID: covidwho-1454811

ABSTRACT

The novel coronavirus disease 2019 (COVID-19) presents with non-specific clinical features. This may result in misdiagnosis or delayed diagnosis, and lead to further transmission in the community. We aimed to derive early predictors to differentiate COVID-19 from influenza and dengue. The study comprised 126 patients with COVID-19, 171 with influenza and 180 with dengue, who presented within 5 days of symptom onset. All cases were confirmed by reverse transcriptase polymerase chain reaction tests. We used logistic regression models to identify demographics, clinical characteristics and laboratory markers in classifying COVID-19 versus influenza, and COVID-19 versus dengue. The performance of each model was evaluated using receiver operating characteristic (ROC) curves. Shortness of breath was the strongest predictor in the models for differentiating between COVID-19 and influenza, followed by diarrhoea. Higher lymphocyte count was predictive of COVID-19 versus influenza and versus dengue. In the model for differentiating between COVID-19 and dengue, patients with cough and higher platelet count were at increased odds of COVID-19, while headache, joint pain, skin rash and vomiting/nausea were indicative of dengue. The cross-validated area under the ROC curve for all four models was above 0.85. Clinical features and simple laboratory markers for differentiating COVID-19 from influenza and dengue are identified in this study which can be used by primary care physicians in resource limited settings to determine if further investigations or referrals would be required.


Subject(s)
COVID-19/pathology , Dengue/pathology , Influenza, Human/pathology , Adult , Area Under Curve , COVID-19/complications , COVID-19/virology , Cohort Studies , Dengue/complications , Dengue/virology , Diagnosis, Differential , Diarrhea/etiology , Female , Fever/etiology , Humans , Influenza, Human/complications , Influenza, Human/virology , Lymphocyte Count , Male , Middle Aged , Platelet Count , RNA, Viral/analysis , RNA, Viral/metabolism , ROC Curve , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , Vomiting/etiology , Young Adult
8.
Lancet ; 398(10306): 1147-1156, 2021 09 25.
Article in English | MEDLINE | ID: covidwho-1437625

ABSTRACT

BACKGROUND: A new syndrome of vaccine-induced immune thrombotic thrombocytopenia (VITT) has emerged as a rare side-effect of vaccination against COVID-19. Cerebral venous thrombosis is the most common manifestation of this syndrome but, to our knowledge, has not previously been described in detail. We aimed to document the features of post-vaccination cerebral venous thrombosis with and without VITT and to assess whether VITT is associated with poorer outcomes. METHODS: For this multicentre cohort study, clinicians were asked to submit all cases in which COVID-19 vaccination preceded the onset of cerebral venous thrombosis, regardless of the type of vaccine, interval between vaccine and onset of cerebral venous thrombosis symptoms, or blood test results. We collected clinical characteristics, laboratory results (including the results of tests for anti-platelet factor 4 antibodies where available), and radiological features at hospital admission of patients with cerebral venous thrombosis after vaccination against COVID-19, with no exclusion criteria. We defined cerebral venous thrombosis cases as VITT-associated if the lowest platelet count recorded during admission was below 150 × 109 per L and, if the D-dimer was measured, the highest value recorded was greater than 2000 µg/L. We compared the VITT and non-VITT groups for the proportion of patients who had died or were dependent on others to help them with their activities of daily living (modified Rankin score 3-6) at the end of hospital admission (the primary outcome of the study). The VITT group were also compared with a large cohort of patients with cerebral venous thrombosis described in the International Study on Cerebral Vein and Dural Sinus Thrombosis. FINDINGS: Between April 1 and May 20, 2021, we received data on 99 patients from collaborators in 43 hospitals across the UK. Four patients were excluded because they did not have definitive evidence of cerebral venous thrombosis on imaging. Of the remaining 95 patients, 70 had VITT and 25 did not. The median age of the VITT group (47 years, IQR 32-55) was lower than in the non-VITT group (57 years; 41-62; p=0·0045). Patients with VITT-associated cerebral venous thrombosis had more intracranial veins thrombosed (median three, IQR 2-4) than non-VITT patients (two, 2-3; p=0·041) and more frequently had extracranial thrombosis (31 [44%] of 70 patients) compared with non-VITT patients (one [4%] of 25 patients; p=0·0003). The primary outcome of death or dependency occurred more frequently in patients with VITT-associated cerebral venous thrombosis (33 [47%] of 70 patients) compared with the non-VITT control group (four [16%] of 25 patients; p=0·0061). This adverse outcome was less frequent in patients with VITT who received non-heparin anticoagulants (18 [36%] of 50 patients) compared with those who did not (15 [75%] of 20 patients; p=0·0031), and in those who received intravenous immunoglobulin (22 [40%] of 55 patients) compared with those who did not (11 [73%] of 15 patients; p=0·022). INTERPRETATION: Cerebral venous thrombosis is more severe in the context of VITT. Non-heparin anticoagulants and immunoglobulin treatment might improve outcomes of VITT-associated cerebral venous thrombosis. Since existing criteria excluded some patients with otherwise typical VITT-associated cerebral venous thrombosis, we propose new diagnostic criteria that are more appropriate. FUNDING: None.


Subject(s)
COVID-19 Vaccines/adverse effects , Intracranial Thrombosis/epidemiology , Purpura, Thrombocytopenic, Idiopathic/epidemiology , Vaccination/adverse effects , Adult , COVID-19 Vaccines/immunology , Cohort Studies , Female , Fibrin Fibrinogen Degradation Products , Humans , Intracranial Thrombosis/drug therapy , Intracranial Thrombosis/mortality , Male , Middle Aged , Platelet Count , Purpura, Thrombocytopenic, Idiopathic/drug therapy , SARS-CoV-2 , United Kingdom/epidemiology , Venous Thrombosis/drug therapy , Venous Thrombosis/epidemiology
9.
PLoS One ; 16(9): e0257775, 2021.
Article in English | MEDLINE | ID: covidwho-1435622

ABSTRACT

BACKGROUND: In this study, we aimed to investigate whether FIB-4 index is useful in predicting mortality in patients with concurrent hematological malignancies and COVID-19. We also aimed to determine the optimal cut-off point for the prediction. METHODS: This is a single-center retrospective cohort study conducted in Dharmais National Cancer Hospital, Indonesia. Consecutive sampling of adults with hematological malignancies and COVID-19 was performed between May 2020 and January 2021. COVID-19 screening test using the reverse transcriptase polymerase chain reaction (RT-PCR) of nasopharyngeal samples were performed prior to hospitalization for chemotherapy. FIB-4 index is derived from [age (years) × AST (IU/L)]/[platelet count (109/L) × âˆšALT (U/L)]. The primary outcome of this study is mortality, defined as clinically validated death/non-survivor during a 3-months (90 days) follow-up. RESULTS: There were a total of 70 patients with hematological malignancies and COVID-19 in this study. Median FIB-4 Index was higher in non-survivors (13.1 vs 1.02, p<0.001). FIB-4 index above 3.85 has a sensitivity of 79%, specificity of 84%, PLR of 5.27, and NLR of 0.32. The AUC was 0.849 95% CI 0.735-0.962, p<0.001. This cut-off point was associated with OR of 16.70 95% CI 4.07-66.67, p<0.001. In this study, a FIB-4 >3.85 confers to 80% posterior probability of mortality and FIB-4 <3.85 to 19% probability. FIB-4 >3.85 was associated with shorter time-to-mortality (HR 9.10 95% CI 2.99-27.65, p<0.001). Multivariate analysis indicated that FIB-4 >3.85 (HR 4.09 95% CI 1.32-12.70, p = 0.015) and CRP> 71.57 mg/L (HR 3.36 95% CI 1.08-10.50, p = 0.037) were independently associated with shorter time-to-mortality. CONCLUSION: This study indicates that a FIB-4 index >3.85 was independent predictor of mortality in patients with hematological malignancies and COVID-19 infection.


Subject(s)
COVID-19/mortality , Hematologic Neoplasms/mortality , Adult , Female , Humans , Indonesia , Male , Platelet Count/methods , ROC Curve , Retrospective Studies , SARS-CoV-2/pathogenicity
10.
Biomark Med ; 15(15): 1435-1449, 2021 10.
Article in English | MEDLINE | ID: covidwho-1430630

ABSTRACT

COVID-19 has become a global health concern, due to the high transmissible nature of its causal agent and lack of proper treatment. Early diagnosis and nonspecific medical supports of the patients appeared to be effective strategy so far to combat the pandemic caused by COVID-19 outbreak. Biomarkers can play pivotal roles in timely and proper diagnosis of COVID-19 patients, as well as for distinguishing them from other pulmonary infections. Besides, biomarkers can help in reducing the rate of mortality and evaluating viral pathogenesis with disease prognosis. This article intends to provide a broader overview of the roles and uses of different biomarkers in the early diagnosis of COVID-19, as well as in the classification of COVID-19 patients into multiple risk groups.


Subject(s)
Biomarkers/analysis , COVID-19/diagnosis , C-Reactive Protein/analysis , COVID-19/pathology , COVID-19/therapy , COVID-19/virology , COVID-19 Testing , Humans , Lymphocyte Count , Platelet Count , Procalcitonin/analysis , Prognosis , Prospective Studies , SARS-CoV-2/isolation & purification , Serum Amyloid A Protein/analysis , Severity of Illness Index
11.
Int J Lab Hematol ; 43(6): 1319-1324, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1416363

ABSTRACT

INTRODUCTION: Health professions are heavily engaged facing the current threat of SARS-CoV-2 (COVID-19). Although there are many diagnostic tools, an accurate and rapid laboratory procedure for diagnosing COVID-19 is recommended. We focused on platelet parameters as the additional biomarkers for clinical diagnosis in patients presenting to the emergency department (ED). MATERIALS AND METHODS: Five hundred and sixty-one patients from February to April 2020 have been recruited. Patients were divided into three groups: (N = 50) COVID-19 positive and (N = 21) COVID-19 negative with molecular testing, (N = 490) as reference population without molecular testing. A Multiplex rRT-PCR from samples collected by nasopharyngeal swabs was performed and the hematological data collected. RESULTS: We detected a mild anemia in COVID-19 group and lymphopenia against reference population: hemoglobin (g/dL) 13.0 (11.5-14.8) versus 13.9 (12.8-15.0) (P = .0135); lymphocytes (109 /L) 1.24 (0.94-1.73) versus 1.99 (1.49-2.64) (P < .0001). In addition, abnormal platelet parameters as follows (COVID group vs reference population): PLT (×109 /L) 209 (160-258) vs 236 (193-279) (P = .0239). IPF (%) 4.05 (2.5-5.9) versus 3.4 (2.2-4.9) (P = .0576); H-IPF (%) 1.25 (0.8-2.2) versus 0.95 (0.6-1.5) (P = .0171) were identified. In particular, COVID positive group had a high H-IPF/IPF Ratio compared to reference population [0.32 (0.29-0.36) versus 0.29 (0.26-0.32), respectively, (P = .0003)]. Finally, a PLT difference of nearly 50 × 109 /L between pre/postCOVID-19 sampling for each patient was found (N = 42) (P = .0194). CONCLUSIONS: COVID-19 group results highlighted higher IPF and H-IPF values, with increased H-IPF/IPF Ratio, associated to PLT count reduction. These findings shall be adopted for a timely diagnosis of patients upon hospital admission.


Subject(s)
COVID-19 Testing/methods , COVID-19/blood , Pandemics , Platelet Count , SARS-CoV-2 , Adult , Aged , Aged, 80 and over , Anemia/etiology , Blood Cell Count , Blood Platelets/pathology , COVID-19/diagnosis , Cell Differentiation , Cell Size , Disease Progression , Emergency Service, Hospital , Female , Hemoglobins/analysis , Humans , Italy/epidemiology , Male , Mean Platelet Volume , Middle Aged , Multiplex Polymerase Chain Reaction , Nasopharynx/virology , Pilot Projects , Retrospective Studies , SARS-CoV-2/isolation & purification
12.
Int J Mol Sci ; 22(18)2021 Sep 16.
Article in English | MEDLINE | ID: covidwho-1409707

ABSTRACT

Global data correlate severe vitamin D deficiency with COVID-19-associated coagulopathy, further suggesting the presence of a hypercoagulable state in severe COVID-19 patients, which could promote thrombosis in the lungs and in other organs. The feedback loop between COVID-19-associated coagulopathy and vitamin D also involves platelets (PLTs), since vitamin D deficiency stimulates PLT activation and aggregation and increases fibrinolysis and thrombosis. Vitamin D and PLTs share and play specific roles not only in coagulation and thrombosis but also during inflammation, endothelial dysfunction, and immune response. Additionally, another 'fil rouge' between vitamin D and PLTs is represented by their role in mineral metabolism and bone health, since vitamin D deficiency, low PLT count, and altered PLT-related parameters are linked to abnormal bone remodeling in certain pathological conditions, such as osteoporosis (OP). Hence, it is possible to speculate that severe COVID-19 patients are characterized by the presence of several predisposing factors to bone fragility and OP that may be monitored to avoid potential complications. Here, we hypothesize different pervasive actions of vitamin D and PLT association in COVID-19, also allowing for potential preliminary information on bone health status during COVID-19 infection.


Subject(s)
Blood Platelets/immunology , COVID-19/complications , Osteoporosis/immunology , Thrombosis/immunology , Vitamin D Deficiency/immunology , Vitamin D/metabolism , Blood Platelets/metabolism , Bone Remodeling/immunology , COVID-19/blood , COVID-19/diagnosis , COVID-19/immunology , Feedback, Physiological , Humans , Osteoporosis/blood , Platelet Activation/immunology , Platelet Count , SARS-CoV-2/immunology , Severity of Illness Index , Thrombosis/blood , Vitamin D/blood , Vitamin D Deficiency/blood , Vitamin D Deficiency/complications
13.
J Thromb Thrombolysis ; 52(3): 708-714, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1406170

ABSTRACT

Coronavirus disease 2019 (Covid-19) is associated with a high incidence of venous and arterial thromboembolic events. Currently, there are no clinical or laboratory markers that predict thrombotic risk. Circulating immature platelets are hyper-reactive platelets, which are associated with arterial thrombotic events. The aim of this study was to assess whether the proportion of circulating immature platelets is associated with disease severity in Covid-19 patients. Patients admitted with Covid-19 disease were prospectively assessed. Immature platelet count (IPC) and immature platelet fraction (IPF) were measured at admission and at additional time points during the hospital course using the Sysmex XN-3000 auto-analyzer. A total of 136 consecutive patients with Covid-19 were recruited [mean age 60 ± 19 years, 49% woman, 56 (41%) had mild-moderate disease and 80 (59%) had severe disease at presentation]. The median IPF% was higher in patients with severe compared to mild-moderate disease [5.8 (3.9-8.7) vs. 4.2 (2.73-6.45), respectively, p = 0.01]. The maximal IPC value was also higher in patients with severe disease [15 (10.03-21.56), vs 10.9 (IQR 6.79-15.62), respectively, p = 0.001]. Increased IPC was associated with increased length of hospital stay. Patients with severe Covid-19 have higher levels of IPF than patients with mild-moderate disease. IPF may serve as a prognostic marker for disease severity in Covid-19 patients.


Subject(s)
Blood Platelets/virology , COVID-19/virology , SARS-CoV-2/pathogenicity , Thrombosis/virology , Adult , Aged , COVID-19/blood , COVID-19/diagnosis , COVID-19/therapy , Female , Hospital Mortality , Host-Pathogen Interactions , Humans , Length of Stay , Male , Middle Aged , Patient Admission , Platelet Count , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Factors , Severity of Illness Index , Thrombosis/blood , Thrombosis/diagnosis , Time Factors
14.
BMC Infect Dis ; 21(1): 921, 2021 Sep 06.
Article in English | MEDLINE | ID: covidwho-1398844

ABSTRACT

BACKGROUND: Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is threatening the world with the symptoms of seasonal influenza. This study was conducted to investigate the patient characteristics and clinical value of blood markers to assess the severity of coronavirus disease 2019 (COVID-19). METHODS: 187 patients, diagnosed with COVID-19 (non-severe and severe cases) and admitted to hospital between January 27th and March 8th of 2020, were enrolled in the present study. RESULTS: A higher proportion of clinical symptoms, including cough, expectoration, myalgia, and fatigue were observed in the non-severe group. The level of white blood cell count, neutrophils, CRP, IL-6 and IL-8 were significantly increased, while the platelet count was remarkedly decreased in the severe group. The risk model based on lymphocyte, IL-6, IL-8, CRP and platelet counts had the highest area under the receiver operator characteristic curve (AUROC). The baseline of IL-6, IL-8 and CRP was positively correlated with other parameters except in the cases of lymphocyte, hemoglobin and platelet counts. The baseline of the platelet count was negatively correlated with other parameters except in the lymphocyte and hemoglobin counts. Additionally, there was no connection between the severity of COVID-19 and cultures of blood, sputum or catheter secretion. CONCLUSIONS: The present study suggested that high leucocyte and low platelets counts were independent predictive markers of the severity of COVID-19.


Subject(s)
COVID-19 , Area Under Curve , Biomarkers , Humans , Lymphocyte Count , Platelet Count , Retrospective Studies , SARS-CoV-2
15.
J Clin Lab Anal ; 35(10): e23983, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1378934

ABSTRACT

BACKGROUND: The coronavirus pandemic, an infection (coronavirus disease 2019-COVID-19), caused by severe acute respiratory disease coronavirus 2 (SARS-CoV-2), continues to have a strong influence worldwide. Although smoking is a major known risk factor for respiratory infectious disease, the effects of smoking on COVID-19 are unclear. In this study, we aimed to evaluate the relationship between smoking and important hematologic (lymphocyte count, neutrophil count, platelet count, neutrophil-lymphocyte ratio [NLR], platelet-lymphocyte ratio [PLR]), inflammatory, and biochemical biomarkers in the prognosis of hospitalized patients with COVID-19. METHODS: In a COVID-19 pandemic hospital between June and August 2020, 200 adult patients aged over 18 years were hospitalized with COVID-19 inflammatory and hematologic biomarkers at their first admission and smoking data were selected for this study. RESULTS: The rate of smokers was much higher among men (91.5%) than in women (8.5%) (p = 0.001). Neutrophil counts were evaluated and was significantly higher in current smokers (p < 0.001) and ex-smokers (p = 0.001), and NLR (p = 0.008) and ferritin (p = 0.004) levels were higher than in never smokers. The saturation of patients had a negative significant linear correlation of NLR, PLR, and pack years of smoking. Compared with never smokers, current smokers had higher neutrophil counts (OR = 0.828 [0.750-0.915]; p = 0.041), NLR values (OR = 0.948 [0.910-0.987]; p = 0.009), and CRP levels (OR = 0.994 [0.990-0.999]; p = 0.019). CONCLUSION: Serum neutrophil, NLR, and ferritin levels, which are widely used in determining the prognosis of COVID-19, were found higher in current smokers/ex-smokers. These results support the view that a poor prognosis of COVID-19 is associated with smoking.


Subject(s)
COVID-19/etiology , Smoking/adverse effects , Aged , COVID-19/blood , COVID-19 Testing , Female , Hospitalization , Humans , Lymphocyte Count , Male , Middle Aged , Neutrophils , Platelet Count
16.
BMC Pregnancy Childbirth ; 21(1): 567, 2021 Aug 18.
Article in English | MEDLINE | ID: covidwho-1365335

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) still is a global emergency. According to the studies, pregnant women are of the at risk populations and any underlying disease(s) might even worsen their condition. The aim of this study is reporting a complex case of immune thrombocytopenic purpura (ITP) during pregnancy who has been diagnosed with COVID-19 as well as suspicion of HELLP syndrome. CASE PRESENTATION: A 24-year-old woman with a platelet count of 6000/mL and resistance to conventional therapies was referred. A day after starting 0.5 g/day of methylprednisolone for her, fever and a decrease in SpO2 presented. According to the paraclinical investigations, COVID-19 was diagnosed and the conventional COVID-19 treatments started for her (the methylprednisolone pulse stopped). Due to the increased liver enzymes and low platelet count, with suspicion of HELLP syndrome, cesarean section surgery was performed which resulted in a healthy neonate. Then, the methylprednisolone pulse was restarted for and she developed an increase in the platelet count. CONCLUSION: It is not clear how COVID-19 and pregnancy affected the patient's condition and the underlying disease; however, it seems the delivery and/or restarting the methylprednisolone pulses caused improvement in her condition.


Subject(s)
COVID-19/diagnosis , Methylprednisolone/administration & dosage , Pregnancy Complications, Hematologic/drug therapy , Pregnancy Complications, Infectious/diagnosis , Purpura, Thrombocytopenic, Idiopathic/drug therapy , Antiviral Agents/therapeutic use , COVID-19/complications , COVID-19/drug therapy , COVID-19/virology , Cesarean Section , Drug Resistance , Female , HELLP Syndrome/diagnosis , Humans , Infant, Newborn , Male , Platelet Count , Pregnancy , Pregnancy Complications, Hematologic/blood , Pregnancy Complications, Hematologic/diagnosis , Pregnancy Complications, Infectious/drug therapy , Pregnancy Complications, Infectious/virology , Pulse Therapy, Drug , Purpura, Thrombocytopenic, Idiopathic/blood , Purpura, Thrombocytopenic, Idiopathic/complications , Purpura, Thrombocytopenic, Idiopathic/diagnosis , SARS-CoV-2/isolation & purification , Treatment Outcome , Young Adult
17.
Am J Clin Dermatol ; 22(5): 693-707, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1361347

ABSTRACT

BACKGROUND: Pivotal phase III studies demonstrated that abrocitinib, an oral, once-daily, JAK1-selective inhibitor, is effective treatment for moderate-to-severe atopic dermatitis (AD) as monotherapy and in combination with topical therapy. OBJECTIVE: The aim of this study was to evaluate the long-term safety of abrocitinib 200 mg and 100 mg in an integrated analysis of a phase IIb study, four phase III studies, and one long-term extension study. METHODS: Two cohorts were analyzed: a placebo-controlled cohort from 12- to 16-week studies and an all-abrocitinib cohort including patients who received one or more abrocitinib doses. Adverse events (AEs) of interest and laboratory data are reported. RESULTS: Total exposure in the all-abrocitinib cohort (n = 2856) was 1614 patient-years (PY); exposure was ≥ 24 weeks in 1248 patients and ≥ 48 weeks in 606 (maximum 108 weeks). In the placebo-controlled cohort (n = 1540), dose-related AEs (200 mg, 100 mg, placebo) were nausea (14.6%, 6.1%, 2.0%), headache (7.8%, 5.9%, 3.5%), and acne (4.7%, 1.6%, 0%). Platelet count was reduced transiently in a dose-dependent manner; 2/2718 patients (200-mg group) had confirmed platelet counts of < 50 × 103/mm3 at week 4. Incidence rates (IRs) were 2.33/100PY and 2.65/100 PY for serious infection, 4.34/100PY and 2.04/100PY for herpes zoster, and 11.83/100PY and 8.73/100PY for herpes simplex in the 200-mg and 100-mg groups, respectively. IRs for nonmelanoma skin cancer, other malignancies, and major adverse cardiovascular events were < 0.5/100PY for both doses. Five venous thromboembolism events occurred (IR 0.30/100PY), all in the 200-mg group. There were three deaths due to gastric carcinoma (diagnosed at day 43), sudden death, and COVID-19. CONCLUSION: Abrocitinib, with proper patient and dose selection, has a manageable tolerability and longer-term safety profile appropriate for long-term use in patients with moderate-to-severe AD. TRIAL REGISTRIES: ClinicalTrials.gov: NCT02780167, NCT03349060, NCT03575871, NCT03720470, NCT03627767, NCT03422822.


Subject(s)
Dermatitis, Atopic/drug therapy , Infections/epidemiology , Protein Kinase Inhibitors/adverse effects , Pyrimidines/adverse effects , Skin Neoplasms/epidemiology , Sulfonamides/adverse effects , Acne Vulgaris/chemically induced , Adolescent , Adult , Aged , Cardiovascular Diseases/epidemiology , Cholesterol, HDL/blood , Cholesterol, LDL/blood , Female , Headache/chemically induced , Herpes Simplex/epidemiology , Herpes Zoster/epidemiology , Humans , Incidence , Lymphocyte Count , Male , Middle Aged , Nausea/chemically induced , Platelet Count , Protein Kinase Inhibitors/administration & dosage , Pyrimidines/administration & dosage , Risk Factors , Sulfonamides/administration & dosage , Time Factors , Venous Thromboembolism/epidemiology , Young Adult
18.
J Clin Lab Anal ; 35(9): e23935, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1355874

ABSTRACT

BACKGROUND: Neutral-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) are associated with coronavirus disease 2019 (COVID-19) and many diseases, but there are few data about the reference interval (RI) of NLR, LMR, and PLR. METHODS: The neutrophil count, lymphocyte count, monocyte count, and platelet count of 404,272 Chinese healthy adults (>18 years old) were measured by Sysmex XE-2100 automatic hematology analyzer, and NLR, LMR, and PLR were calculated. According to CLSI C28-A3, the nonparametric 95% percentile interval is defined as the reference interval. RESULTS: The results of Mann-Whitney U test showed that NLR (p < .001) in male was significantly higher than that in female; LMR (p < .001) and PLR (p < .001) in male were significantly lower than that in female. Kruskal-Wallis H test showed that there were significant differences in NLR, LMR, and PLR among different genders and age groups (p < .001). The linear graph showed that the reference upper limit of NLR and PLR increased with age and the reference upper limit of LMR decreases with age in male population. In female population, the reference upper limit of NLR in 50-59 group, LMR in >80 group, and PLR in 70-79 group appeared a trough; the reference upper limit of NLR in >80 group, LMR in 50-59 group, and PLR in 40-49 group appeared peak. CONCLUSION: The establishment of RI for NLR, LMR, and PLR in Chinese healthy adults according to gender and age will promote the standardization of clinical application.


Subject(s)
Leukocyte Count/statistics & numerical data , Lymphocyte Count/statistics & numerical data , Monocytes , Neutrophils , Platelet Count/statistics & numerical data , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/blood , China , Female , Humans , Male , Middle Aged , Reference Values , SARS-CoV-2 , Sex Factors
19.
N Engl J Med ; 385(18): 1680-1689, 2021 10 28.
Article in English | MEDLINE | ID: covidwho-1352005

ABSTRACT

BACKGROUND: Vaccine-induced immune thrombocytopenia and thrombosis (VITT) is a new syndrome associated with the ChAdOx1 nCoV-19 adenoviral vector vaccine against severe acute respiratory syndrome coronavirus 2. Data are lacking on the clinical features of and the prognostic criteria for this disorder. METHODS: We conducted a prospective cohort study involving patients with suspected VITT who presented to hospitals in the United Kingdom between March 22 and June 6, 2021. Data were collected with the use of an anonymized electronic form, and cases were identified as definite or probable VITT according to prespecified criteria. Baseline characteristics and clinicopathological features of the patients, risk factors, treatment, and markers of poor prognosis were determined. RESULTS: Among 294 patients who were evaluated, we identified 170 definite and 50 probable cases of VITT. All the patients had received the first dose of ChAdOx1 nCoV-19 vaccine and presented 5 to 48 days (median, 14) after vaccination. The age range was 18 to 79 years (median, 48), with no sex preponderance and no identifiable medical risk factors. Overall mortality was 22%. The odds of death increased by a factor of 2.7 (95% confidence interval [CI], 1.4 to 5.2) among patients with cerebral venous sinus thrombosis, by a factor of 1.7 (95% CI, 1.3 to 2.3) for every 50% decrease in the baseline platelet count, by a factor of 1.2 (95% CI, 1.0 to 1.3) for every increase of 10,000 fibrinogen-equivalent units in the baseline d-dimer level, and by a factor of 1.7 (95% CI, 1.1 to 2.5) for every 50% decrease in the baseline fibrinogen level. Multivariate analysis identified the baseline platelet count and the presence of intracranial hemorrhage as being independently associated with death; the observed mortality was 73% among patients with platelet counts below 30,000 per cubic millimeter and intracranial hemorrhage. CONCLUSIONS: The high mortality associated with VITT was highest among patients with a low platelet count and intracranial hemorrhage. Treatment remains uncertain, but identification of prognostic markers may help guide effective management. (Funded by the Oxford University Hospitals NHS Foundation Trust.).


Subject(s)
COVID-19 Vaccines/adverse effects , Purpura, Thrombocytopenic, Idiopathic/etiology , Thrombosis/etiology , Adolescent , Adult , Aged , Anticoagulants , Autoantibodies/blood , COVID-19/prevention & control , Female , Humans , Immunoglobulins, Intravenous/therapeutic use , Intracranial Hemorrhages/etiology , Intracranial Hemorrhages/mortality , Male , Middle Aged , Multivariate Analysis , Platelet Count , Platelet Factor 4/immunology , Prospective Studies , Purpura, Thrombocytopenic, Idiopathic/mortality , Purpura, Thrombocytopenic, Idiopathic/therapy , Risk Factors , Thrombosis/drug therapy , Thrombosis/mortality , United Kingdom/epidemiology , Young Adult
20.
PLoS One ; 16(8): e0254073, 2021.
Article in English | MEDLINE | ID: covidwho-1344150

ABSTRACT

INTRODUCTION: Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 virus, is a major public health concern spanning from healthy carriers to patients with life-threatening conditions. Although most of COVID-19 patients have mild-to-moderate clinical symptoms, some patients have severe pneumonia leading to death. Therefore, the early prediction of disease prognosis and severity is crucial in COVID-19 patients. The main objective of this study is to evaluate the haemocytometric parameters and identify severity score associated with SARS-CoV-2 infection. METHODS: Clinical and laboratory records were retrospectively reviewed from 97 cases of COVID-19 admitted to hospitals in Istanbul, Turkey. The patient groups were subdivided into three major groups: Group 1 (Non-critical): 59 patients, Group 2 (Critical-Survivors): 23 patients and Group 3 (Critical-Non-survivors):15 patients. These data was tested for correlation, including with derived haemocytometric parameters. The blood analyses were performed the Sysmex XN-series automated hematology analyser using standard laboratory protocols. All statistical testing was undertaken using Analyse-it software. RESULTS: 97 patients with COVID-19 disease and 935 sequential complete blood count (CBC-Diff) measurements (days 0-30) were included in the final analyses. Multivariate analysis demonstrated that red cell distribution width (RDW) (>13.7), neutrophil to lymphocyte ratio (NLR) (4.4), Hemoglobin (Hgb) (<11.4 gr/dL) and monocyte to neutrophil ratio (MNR) (0.084) had the highest area under curve (AUC) values, respectively in discrimination critical patients than non-critical patients. In determining Group 3, MNR (<0.095), NLR (>5.2), Plateletcount (PLT) (>142 x103/L) and RDW (>14) were important haemocytometric parameters, and the mortality risk value created by their combination had the highest AUC value (AUC = 0.911, 95% CI, 0886-0.931). Trend analysis of CBC-Diff parameters over 30 days of hospitalization, NLR on day 2, MNR on day 4, RDW on day 6 and PLT on day 7 of admission were found to be the best time related parameters in discrimination non-critical (mild-moderate) patient group from critical (severe and non-survivor) patient group. CONCLUSION: NLR is a strong predictor for the prognosis for severe COVID-19 patients when the cut-off chosen was 4.4, the combined mortality risk factor COVID-19 disease generated from RDW-CV, NLR, MNR and PLT is best as a mortality haematocytometric index.


Subject(s)
COVID-19/blood , COVID-19/mortality , Adult , Aged , Area Under Curve , Blood Cell Count/methods , Female , Hemoglobins , Humans , Laboratories , Lymphocytes , Male , Middle Aged , Monocytes , Neutrophils , Platelet Count , Prognosis , ROC Curve , Retrospective Studies , Risk Factors , SARS-CoV-2/pathogenicity , Severity of Illness Index , Turkey
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