ABSTRACT
Objectives: Some hematological parameters were reported as markers to assess severity of COVID-19 patients. Comorbidities were risk factors for severe COVID-19. Differences in hematology profile based on severity and comorbidity, and correlation between hematology profile and Ct value were never studied at Makassar, Indonesia. The aim of this study were to know the differences of hematology profile based on severity and comorbidity, and the correlation between hematology profile and Ct value in COVID-19 patients. Methods: This study was retrospective, cross-sectional of confirmed COVID-19 patients who had been hospitalized at Dr. Wahidin Sudirohusodo hospital, Makassar, since June to August 2020. Hematology profile, Ct value, comorbidity, and severity of COVID-19 patients were obtained from Hospital Information System Data. Results: From 217 patients, subjects were 102 (47%) male dan 115 (53%) female, 127 mild-moderate patients (58.5%) and 90 severe patients (41.5%), 143 patients (65%) without comorbidity, 74 patients (35%) with comorbidity. White blood cells (WBC), red cell distribution width (RDW), neutrophil and monocyte count, and neutrophil lymphocyte ratio (NLR) were significantly higher in severe patients than mild-moderate patients (p<0.05), besides RBC, hemoglobin, hematocrit, lymphocyte and thrombocyte count were significantly lower in severe patients than mild-moderate patients (p<0.05). Hematology profile was not different significantly based on comorbidity and was not correlated significantly with Ct value, except eosinophil count (r=0.161; p=0.018). Conclusions: We suggest that hematology profile could predict the severity of COVID-19 patients. Moreover, eosinophil count could be considered to predict the infectivity of patient with COVID-19.
ABSTRACT
Se han propuesto varios parámetros hematológicos como marcadores de gravedad de la COVID-19. Aún no se han realizado estudios en Makassar (Indonesia), para evaluar potenciales diferencias en el perfil hematológico de los pacientes según la gravedad de la enfermedad y las comorbilidades que presentan. Así mismo, tampoco se ha estudiado la correlación entre perfil hematológico y umbral de número de ciclos (Ct). El objetivo de este estudio es investigar posibles diferencias en el perfil hematológico de los pacientes con COVID-19 según la gravedad de la enfermedad y sus comorbilidades, así como determinar la posible correlación entre el perfil hematológico y el Ct en estos pacientes. Se realizó un estudio retrospectivo transversal de pacientes con COVID-19 hospitalizados en el hospital del Dr. Wahidin Sudirohusodo en Makassar entre junio y agosto de 2020. Los datos sobre el perfil hematológico, niveles de Ct, comorbilidades y gravedad de la COVID-19 se extrajeron de la base de datos del hospital. De los 217 pacientes, 102 (47%) eran hombres, frente a 115 (53%) mujeres. El número de pacientes con enfermedad leve o moderada fue de 127 (58.5%) mientras que 90 pacientes presentaban enfermedad grave (41.5%). En total, 143 pacientes (65%) no tenían comorbilidades, mientras que 74 pacientes (35%) sí las tenían. La amplitud de la distribución eritrocitaria, el recuento leucocitario, neutrófilos y monocitos, y la relación neutrófilos-linfocitos fueron significativamente superiores en los pacientes con enfermedad grave que en los que presentaban enfermedad leve o moderada (p<0,05). Así mismo, los pacientes graves presentaron un recuento de glóbulos rojos, hemoglobina, hematocrito, linfocitos y trombocitos significativamente inferior al de los pacientes con enfermedad leve o moderada. No se observaron diferencias significativas en el perfil hematológico según las comorbilidades, ni correlación alguna entre este y los niveles de Ct, excepto para el recuento de eosinófilos (r=0,161;p=0,018). Nuestra hipótesis era que el perfil hematológico podría predecir la gravedad de la enfermedad en pacientes con COVID-19. Además, el recuento de eosinófilos debería tenerse en cuenta a la hora de predecir la infectividad de un paciente con COVID-19.
ABSTRACT
Objectives: Some hematological parameters were reported as markers to assess severity of COVID-19 patients. Comorbidities were risk factors for severe COVID-19. Differences in hematology profile based on severity and comorbidity, and correlation between hematology profile and Ct value were never studied at Makassar, Indonesia. The aim of this study were to know the differences of hematology profile based on severity and comorbidity, and the correlation between hematology profile and Ct value in COVID-19 patients. Methods: This study was retrospective, cross-sectional of confirmed COVID-19 patients who had been hospitalized at Dr. Wahidin Sudirohusodo hospital, Makassar, since June to August 2020. Hematology profile, Ct value, comorbidity, and severity of COVID-19 patients were obtained from Hospital Information System Data. Results: From 217 patients, subjects were 102 (47%) male dan 115 (53%) female, 127 mild-moderate patients (58.5%) and 90 severe patients (41.5%), 143 patients (65%) without comorbidity, 74 patients (35%) with comorbidity. White blood cells (WBC), red cell distribution width (RDW), neutrophil and monocyte count, and neutrophil lymphocyte ratio (NLR) were significantly higher in severe patients than mild-moderate patients (p<0.05), besides RBC, hemoglobin, hematocrit, lymphocyte and thrombocyte count were significantly lower in severe patients than mild-moderate patients (p<0.05). Hematology profile was not different significantly based on comorbidity and was not correlated significantly with Ct value, except eosinophil count (r=0.161; p=0.018). Conclusions: We suggest that hematology profile could predict the severity of COVID-19 patients. Moreover, eosinophil count could be considered to predict the infectivity of patient with COVID-19.
ABSTRACT
BACKGROUND: Due to their immunomodulatory properties, mesenchymal stem cells (MSCs) have been proposed to have therapeutic potential to improve clinical outcomes in COVID-19. However, the safety and efficacy profile of MSC infusion therapy in patients with non-severe COVID-19 infection has not been completely established; there is, in particular, a substantial void in the literature on dose-dependent studies of MSC infusion in patients with low clinical risk COVID-19 infection. METHODS: This phase 1 double-blind, placebo-controlled, randomized clinical trial examines the safety, feasibility, and tolerability of 2 doses (high and low) of DW-MSC in patients with low clinical risk COVID-19. A total of 9 patients were enrolled in this study and randomized into low-dose (TL), high-dose (TH), and placebo (C) groups. Subjects in the TL and TH groups received single intravenous infusions of 5.0 × 107 cells and 1.0 × 108 cells, respectively. The main outcome was the occurrence of treatment-emergent adverse events (TEAE) during the 28-day study period. Vital signs and various inflammatory markers were also monitored weekly during the observation period. RESULTS: There were no apparent differences in clinical characteristics between study groups (TL, TH, and C) at baseline. All patients did not show the progression of severity during the study period. During the course of the study, 6 episodes of TEAE were observed in 5 subjects; however, none of the TEAEs were severe. During the follow-up period, 8 subjects recovered and were discharged from the hospital without complications. A subject exhibited abnormal liver function biomarkers at the end of the study period. Changes in inflammatory markers throughout the clinical course were not vastly different across study groups. CONCLUSIONS: Our clinical trial has provided reliable results regarding the safety of MSCs in low clinical risk COVID-19 subjects treated with MSCs. However, further confirmation of the therapeutic efficacy aspects of MSC will require large-scale randomized controlled trials in subjects with varying severity profiles for COVID-19. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04535856. Registered 2 September 2020, https://clinicaltrials.gov/ct2/show/NCT04535856.
Subject(s)
COVID-19 , Mesenchymal Stem Cell Transplantation , Mesenchymal Stem Cells , COVID-19/therapy , Double-Blind Method , Humans , Infusions, Intravenous , Mesenchymal Stem Cell Transplantation/adverse effects , Mesenchymal Stem Cell Transplantation/methodsABSTRACT
It is important to predict the severity of COVID-19 during the pandemic. Both Neutrophil Lymphocyte Ratio (NLR) and Absolute Lymphocyte Count (ALC) are two easy low-cost and fast inflammatory markers which positively correlate with the severity of COVID-19. The purpose of this research was to analyze the value of NLR and ALC as predictors of COVID-19severity. This research was a retrospective study using medical record data of 376 COVID-19 patients during April-September 2020 at the Hasanuddin University Hospital and Makassar City Regional Hospital. Patients were classified into non-severe and severe COVID-19. Neutrophil lymphocyte ratio and ALC values were determined based on routine blood test (Sysmex XS-800i) results statistical analysis using Independent T-test while NLR and ALC diagnostic values we reanalyzed with Receiver Operating Characteristics (ROC) curve to obtain the cut-off value p < 0.05 was significant. The samples consisted of 372 non-severe and 49 severe COVID-19 patients. Neutrophil lymphocyte ratio value in non-severe (4.02±5.22) was significantly different from severe COVID-19 (9.81±7.06) (p < 0.001) similar to ALC in non-severe(2.00±0.83x103/μL) and severe COVID-19 (1.22±0.78x103/μL) (p < 0.001). Receiver operating characteristics curve showed that NLR had a sensitivity of 91.8% and specificity of 66.4% with a cut-off ‰¥ 3.17 with Negative Predict Value (NPV) of 98.2%and Positive Predict Value (PPV) of 29.0%;while ALC had a sensitivity of 81.6% and specificity of 64.8% at cut-off‰¤ 1.74x103/μL with NPV of 95.9% and PPV of 25.8%. Increased NLR and decreased ALC in severe COVID-19 patients occurred due to an increased inflammatory response resulting in a decreased cellular immunity. Receiver operating characteristics curve showed a cut-off for NLR of 3.17 and ALC of 1.74x103/μL indicating an optimum sensitivity and specificity. It was concluded that NLR and ALC can be used as predictors of COVID-19 severity with a cut-off ‰¥ 3.17 and‰¤ 1.74x103/μL respectively.
ABSTRACT
BACKGROUND: Severe acute respiratory infection (SARI) accounts for a large burden of illness in Indonesia. However, epidemiology of SARI in tertiary hospitals in Indonesia is unknown. This study sought to assess the burden, clinical characteristics, and etiologies of SARI and concordance of clinical diagnosis with confirmed etiology. METHODS: Data and samples were collected from subjects presenting with SARI as part of the acute febrile Illness requiring hospitalization study (AFIRE). In tertiary hospitals, clinical diagnosis was ascertained from chart review. Samples were analyzed to determine the "true" etiology of SARI at hospitals and Indonesia Research Partnership on Infectious Diseases (INA-RESPOND) laboratory. Distribution and characteristics of SARI by true etiology and accuracy of clinical diagnosis were assessed. RESULTS: Four hundred and twenty of 1464 AFIRE subjects presented with SARI; etiology was identified in 242 (57.6%), including 121 (28.8%) viruses and bacteria associated with systemic infections, 70 (16.7%) respiratory bacteria and viruses other than influenza virus, and 51 (12.1%) influenza virus cases. None of these influenza patients were accurately diagnosed as having influenza during hospitalization. CONCLUSIONS: Influenza was misdiagnosed among all patients presenting with SARI to Indonesian tertiary hospitals in the AFIRE study. Diagnostic approaches and empiric management should be guided by known epidemiology. Public health strategies to address the high burden of influenza should include broad implementation of SARI screening, vaccination programs, clinician education and awareness campaigns, improved diagnostic capacity, and support for effective point-of-care tests.