Proton pump inhibitors with calcium acetate on serum phosphorus levels in hemodialysis patients.

Background: The increase in serum phosphorus level is an independent risk factor for mortality in patients with chronic renal failure or undergoing dialysis due to end-stage renal disease. Proton pump inhibitors (PPI) are the general name given to agents used to suppress stomach acid. In this study, the clinical benefit of using PPIs in addition to drugs used for phosphorus control was investigated. Methods: 153 patients with end-stage renal disease were included in the study. The data of the patients who had been on hemodialysis for at least 6 months and using calcium acetate for at least 1 month were recorded in the SPSS 21 program. The patients were analyzed in two groups according to whether they used PPI or not. Anamnesis, patient follow-up, laboratory, and treatment forms collected from hemodialysis centers were used. Results: Of the 153 patients in the study, 49% were males and the mean age was 65.11±11.23. The mean duration of patients on dialysis was 48.5 months. Hypertension was found to be the most common comorbidity with 75.8% prevalence among the patients. The mean phosphorus levels of the patients using calcium acetate together with PPI were found to be approximately 1.2 mg/dl lower (p= 0.000). Conclusion: It should be taken into account that the use of PPI together with calcium acetate, which is still common as a phosphorus binder in developing countries, can contribute to controlling phosphorus levels.

Leptospirosis during the COVID-19 pandemic: a case report.

Since SARS-CoV-2 disease (COVID-19) has been labeled as a pandemic, it took the spotlight in the differential diagnosis for patients presenting with acute respiratory and systemic symptoms. Leptospirosis is one of the most common zoonoses in the world, yet it is mainly a disease of differential diagnosis for places that do not have it as an endemic. Due to the high burden of COVID-19 on the healthcare field, patients suffering from other infections may have been inadvertently neglected. COVID-19 infection can mimic other infectious diseases and can confuse physicians in their search for a confirmatory diagnosis. Nonetheless, it is very crucial to broaden the differential diagnosis and keep diseases like leptospirosis within the differential diagnosis despite its rarity, especially in patients presenting with unexplained systemic infectious symptoms. This is a unique case of a patient who presented with dyspnea, jaundice and change in urine color who was suspected to be COVID-19 positive. After a detailed investigation, the patient was diagnosed with leptospirosis instead of COVID-19 and was treated with plasmapheresis and antibiotics accordingly.

Leptospirosis during the COVID-19 pandemic: a case report

ABSTRACT Since SARS-CoV-2 disease (COVID-19) has been labeled as a pandemic, it took the spotlight in the differential diagnosis for patients presenting with acute respiratory and systemic symptoms. Leptospirosis is one of the most common zoonoses in the world, yet it is mainly a disease of differential diagnosis for places that do not have it as an endemic. Due to the high burden of COVID-19 on the healthcare field, patients suffering from other infections may have been inadvertently neglected. COVID-19 infection can mimic other infectious diseases and can confuse physicians in their search for a confirmatory diagnosis. Nonetheless, it is very crucial to broaden the differential diagnosis and keep diseases like leptospirosis within the differential diagnosis despite its rarity, especially in patients presenting with unexplained systemic infectious symptoms. This is a unique case of a patient who presented with dyspnea, jaundice and change in urine color who was suspected to be COVID-19 positive. After a detailed investigation, the patient was diagnosed with leptospirosis instead of COVID-19 and was treated with plasmapheresis and antibiotics accordingly.

Association of mortality and endothelial dysfunction with serum ADMA level in COVID-19 patients.

Objectives: To investigate the role of asymmetric dimethylarginine (ADMA) level in predicting intensive care and mortality in patients affected with coronavirus disease 2019 (COVID-19). Methods: This retrospective, cross-sectional study was conducted at Sakarya University Training and Research Hospital (Sakarya, Turkey) between April and August of 2020. We enrolled patients who were diagnosed with COVID-19 via real-time reverse-transcription polymerase chain reaction and admitted to the intensive care (Severe COVID-19; S-COVID) or non intensive care (Moderate COVID-19; M-COVID). We then analyzed the relationship of the ADMA level with various parameters between S-COVID and M-COVID groups. Results: This study included 87 patients, comprising 43 females and 44 males, with a mean age of 61 and 71.50 years, respectively. The male/female distribution was 22/25 (46.8%/53.2%) in the M-COVID group and 22/18 (55%/45%) in the S-COVID group. The hospitalization time, white blood cell count, neutrophil count, lymphocyte-to-albumin ratio, international normalization ratio, D-dimer, troponin, ferritin, lactate dehydrogenase, C-reactive protein, procalcitonin, erythrocyte sedimentation rate, fibrinogen, lactate, ADMA, and mortality rate were significantly higher (p < 0.05). In contrast, lymphocyte, total cholesterol, high-density lipoprotein, calcium, and albumin values were lower (p < 0.05) in the S-COVID group than in the M-COVID group. While the mortality rate was 55% in S-COVID patients, no mortality was detected in M-COVID patients (p < 0.05). Moreover, ADMA level was 6618 ± 3000 (6400) in S-COVID patients and 5365 ± 3571 (3130) in M-COVID patients, indicating a statistically significant difference (p = 0.012). Conclusion: The asymmetric dimethylarginine level increases in severe outcomes; hence, it can potentially predict severity in patients with COVID-19.

Association of C-reactive Protein/Albumin, Procalcitonin/Albumin, Platelet/Lymphocyte, and Lymphocyte/Monocyte Ratio with Mortality in Hospitalised COVID-19 Patients.

OBJECTIVE: To investigate and compare complete blood count and biochemistry parameters such as c-reactive protein/albumin (CRP/ALB) ratio, procalcitonin/albumin (PRO/ALB) ratio, lymphocyte/monocyte (LYM/MON) ratio, platelet/lymphocyte (PLT/LYM) ratio of the recovered/deceased, and ICU (intensive care unit) /ward patients with COVID-19. STUDY DESIGN: An observational study. PLACE AND DURATION OF STUDY: Department of Internal Medicine, Sakarya University Training and Research Hospital, Turkey, from April 2020 to January 2021. METHODOLOGY: The study was conducted with 590 diagnosed patients with COVID-19. The patients were divided into 2 groups as deceased (n = 294) /survivor (n = 296) and those in need of ICU (n= 418) /ward (n = 172). The information was obtained from the hospital information system and analysed retrospectively. The relationships of crp/alb, pro/alb, lym/mon, and PLT/LYM ratios with patient groups were investigated. RESULTS: Of the total 590 patients in the study, 358 (60.6%) were males. The total mean age was 65.63 ±14.9 years. The mean age of survivor and deceased groups was 71.32±10.9 and 59.97±16.2 years, respectively (p.

Depression and Anxiety Disorders in COVID-19 Survivors: Role of Inflammatory Predictors.

Introduction: Infection-triggered perturbation of the immune system, which was observed after previous coronavirus outbreaks, could induce psychiatric sequelae. The spreading of the Coronavirus-19 (COVID-19) pandemic could be associated with psychiatric implications. In this study, we aimed to evaluate the association between inflammatory biomarkers and the levels of depression and anxiety in patients who recovered from COVID-19. Methods: We screened 109 COVID-19 survivor adults for psychiatric symptoms on the 15th day of follow-up after discharge from the hospital. The patients were split into two groups, the ones with depression and anxiety, and the ones without depression or anxiety, after the psychiatric interview. Self-rating Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) were applied to assess the levels in patients with depression and anxiety. We collected and recorded the sociodemographic information, clinical data, and baseline inflammatory markers. Results: Higher baseline neutrophil/lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) were found in patients with depression and anxiety. Higher levels of depression and anxiety were found in younger and female patients. Besides, a significant correlation was found between BAI and ferritin levels in patients with anxiety, while no association was found between BAI and other inflammatory biomarkers. Moreover, no significant relationship was found between BDI scores and inflammatory biomarkers in patients with depression. Conclusion: COVID-19 primarily affects the respiratory and cardiovascular systems. Nonetheless, psychiatric involvement is not uncommon and can lead to severe problems if not detected and managed at an early stage. It is recommended that clinicians should be vigilant in terms of psychiatric involvement in COVID-19 patients presenting with high inflammatory parameters.

Predictive role of FAR ratio in COVID-19 patients.

OBJECTIVE: No effective treatment has yet been found for SARS-Cov-2, which caused a pandemic outbreak in 2019. It is crucial to detect the progression of COVID-19 in patients as early as possible. Fibrinogen to albumin ratio (FAR) has been used as a new inflammatory marker. We aimed to find out whether the use of the FAR as a predictor of mortality in COVID-19 patients provides clinical benefit. MATERIALS AND METHODS: Data from 590 patients with COVID-19 from March 15, 2020 to January 15, 2021 in medicine wards and intensive care units (ICU) were retrospectively analysed. Demographic data and other laboratory markers were collected from the electronic medical records. Relationship between FAR was investigated between patients in the survivor/non-survivor patients. FINDINGS: The mean FAR levels in patients who were non-survivor was 24.44 ± 30.3 (n = 272 and 11.29 ± 6.29 (n = 275) (P = .000) in patients survivor COVID-19 infection. In ROC curve for FAR, the threshold FAR that may pose a risk for mortality was determined as 13.84 ((AUC: 0.808 (0.771-0.844)); 74.9% sensitivity, 74.6% specificity; P = .000)). RESULT: As a result of this study, increased FAR were found to be important markers in determining the mortality levels in COVID-19 patients.

Evaluation of coagulation parameters: Coronavirus disease 2019 (COVID-19) between survivors and nonsurvivors.

OBJECTIVE: This study aims to investigate and compare the coagulation parameters of coronavirus disease 2019 (COVID-19) patients with mortal and nonmortal conditions. METHODS: In this study, 511 patients diagnosed with COVID-19 were included. Information about 31 deceased and 480 recovered COVID-19 patients was obtained from the hospital information management system and analyzed retrospectively. Whether there was a correlation between coagulation parameters between the mortal and nonmortal patients was analyzed. Descriptive analyses on general characteristics of the study population were performed. Visual (probability plots and histograms) and analytical methods (Kolmogorov-Smirnov and Shapiro-Wilk test) were used to test the normal distribution. Analyses were performed using the SPSS statistical software package. RESULTS: Out of 511 patients, 219 (42.9%) were females and 292 (57.1%) were males. There was no statistically significant difference between males and females in terms of mortality (p=0.521). In total, the median age was 67 (22). The median age was 74 (13) in the nonsurvivor group and 67 (22) in the survivor group, and the difference was statistically significant (p=0.007). The D-dimer, prothrombin time, international normalized ratio, neutrophil, and lymphocyte median age values with p-values, in the recovered and deceased patient groups were: 1070 (2129), 1990 (7513) µg FEU/L, p=0.005; 12.6 (2.10), 13.3 (2.1), p=0.014; 1.17 (0.21), 1.22 (0.19), p=0.028; 5.51 (6.15), 8.54 (7.05), p=0.001; and 0.99 (0.96), 0.64 (0.84), p=0.037, respectively, with statistically significant differences. CONCLUSIONS: As a result of this study, D-dimer, prothrombin time, and international normalized ratio increase were found to be associated with mortality. These parameters need to be closely monitored during the patient follow-up.

Prealbumin: A New Biomarker for Predicting Prognosis in Patients with Severe COVID-19.

OBJECTIVE: To analyse whether prealbumin could be a new biomarker for predicting mortality in severe COVID-19 patients. STUDY DESIGN: An observation study. PLACE AND DURATION OF STUDY: Intensive care units (ICU) of Sakarya University Training and Research Hospital, Sakarya, Turkey, from October 2020 to December 2020. METHODOLOGY: The data of 149 patients, who were admitted to the ICU were collected and analysed retrospectively. Routine blood samples were collected from all patients at the time of admission to the ICU; and 102 patients with the mortal course and 47 patients with the non-mortal course were included in the study. The data obtained from these patients were analyzed in the biostatistics programme.  Results: The median age of all patients was 68 years; while 94 of them were males (63.1%) and 55 of them were females (36.9%). Median levels of potassium (K) (p=0.04), uric acid (p=0.001), C-reactive protein (CRP) (p=0.004), and procalcitonin (PCT) (p<0.001) were significantly higher and median level of prealbumin (p=0.002) was significantly lower in the deceased group. The cut-off level of prealbumin for mortality was found as 0.085 g/L (p=0.002). Further analysis revealed that the risk of mortality was found as 2.193 times more in patients with prealbumin levels of <0.085 g/L (Odds Ratio (OR): 2.193, 95% CI: 1.084-4.434). CONCLUSION: As a result of this study, it was found that patients with lower levels of prealbumin at the time of admission to the ICU have a higher risk for mortality. It was showed that prealbumin can be a useful biomarker for predicting mortality in patients with severe COVID-19. Key Words: Prealbumin, COVID-19, Mortality, Prognostic biomarkers, Severe disease.

Does Macrophage Migration Inhibitory Factor predict the prognosis of COVID-19 disease?

INTRODUCTION: The aim of this study is to investigate whether macrophage migration inhibitory factor (MIF) predicts the prognosis of COVID-19 disease. METHODOLOGY: This descriptive and cross-sectional study was conducted on 87 confirmed COVID-19 patients. The patients were separated into two groups according to the admission in the ICU or in the ward. MIF was determined batchwise in plasma obtained as soon as the patients were admitted. Both groups were compared with respect to demographic characteristics, biochemical parameters and prediction of requirement to ICU admission. RESULTS: Forty seven patients in ICU, and 40 patients in ward were included. With respect to MIF levels and biochemical biomarkers, there was a statistically significant difference between the ICU and ward patients (p< 0.024). In terms of ICU requirement, the cut-off value of MIF was detected as 4.705 (AUC:0.633, 95%CI:0.561-0.79, p= 0.037), D-dimer was 789 (AUC:0.779, 95%CI: 0.681-0.877, p= 0.000), troponin was 8.15 (AUC: 0.820, 95%CI:0.729-0.911, p= 0.000), ferritin was 375 (AUC: 0.774, 95%CI:0.671-0.876, p= 0.000), and lactate dehydrogenase (LDH) was 359.5 (AUC:0.843, 95%CI: 0.753-0.933, p= 0.000). According to the logistic regression analysis; when MIF level > 4.705, the patient's requirement to ICU risk was increased to 8.33 (95%CI: 1.73-44.26, p= 0.009) fold. Similarly, elevation of troponin, ferritin and, LDH was shown to predict disease prognosis (p< 0.05). CONCLUSIONS: Our study showed that MIF may play a role in inflammatory responses to COVID-19 through induction of pulmonary inflammatory cytokines, suggesting that pharmacotherapeutic approaches targeting MIF may hold promise for the treatment of COVID-19 pneumonia.

The predictive and diagnostic accuracy of long pentraxin-3 in COVID-19 pneumonia

Background/aim: The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts the disease prognosis. Materials and methods: This study was conducted on 88 confirmed COVID-19 patients who were hospitalized due to symptomatic pneumonia between April 15 and August 15, 2020. The patients were divided into two groups as survived patients and non-survived patients. Both groups were compared according to demographic features, comorbid conditions and measurement of the PTX-3 and other laboratory parameters of the patients. Results: Of 88 patients with COVID-19, 59 (67%) were discharged with complete cure and 29 (33%) resulted in death. 46 (52.3%) of the patients were men. PTX-3 median value (IQR) was 3.66 ng/mL (0.9­27.9) in all patients, 3.3 ng/mL (0.9­27.9) in survivors and 3.91 ng/mL (1.9­23.2) in nonsurvivors which was significantly higher (P = 0.045). As a receiver operating characteristic curve analysis the cut-off value of PTX-3 for predicting mortality in patients was 3.73 with 65% sensitivity and 65% specificity (AUC: 0.646, 95% CI: 0.525­ 0.767, P = 0.045). Also, we found significant cut-off values with respect to D-dimer, D-dimer/PTX-3, high-sensitivity troponin, high- sensitivity troponin/PTX-3, lymphocyte, PTX-3/lymphocyte, procalcitonin, procalcitonin/PTX-3, CRP, and CRP/PTX-3 (P < 0.05). Conclusion: In this study, as far as we know, for the first time, we have shown PTX-3 as the new mortality biomarker for COVID-19 disease.

Evaluation of coagulation parameters: Coronavirus disease 2019 (COVID-19) between survivors and nonsurvivors

SUMMARY OBJECTIVE: This study aims to investigate and compare the coagulation parameters of coronavirus disease 2019 (COVID-19) patients with mortal and nonmortal conditions. METHODS: In this study, 511 patients diagnosed with COVID-19 were included. Information about 31 deceased and 480 recovered COVID-19 patients was obtained from the hospital information management system and analyzed retrospectively. Whether there was a correlation between coagulation parameters between the mortal and nonmortal patients was analyzed. Descriptive analyses on general characteristics of the study population were performed. Visual (probability plots and histograms) and analytical methods (Kolmogorov-Smirnov and Shapiro-Wilk test) were used to test the normal distribution. Analyses were performed using the SPSS statistical software package. RESULTS: Out of 511 patients, 219 (42.9%) were females and 292 (57.1%) were males. There was no statistically significant difference between males and females in terms of mortality (p=0.521). In total, the median age was 67 (22). The median age was 74 (13) in the nonsurvivor group and 67 (22) in the survivor group, and the difference was statistically significant (p=0.007). The D-dimer, prothrombin time, international normalized ratio, neutrophil, and lymphocyte median age values with p-values, in the recovered and deceased patient groups were: 1070 (2129), 1990 (7513) μg FEU/L, p=0.005; 12.6 (2.10), 13.3 (2.1), p=0.014; 1.17 (0.21), 1.22 (0.19), p=0.028; 5.51 (6.15), 8.54 (7.05), p=0.001; and 0.99 (0.96), 0.64 (0.84), p=0.037, respectively, with statistically significant differences. CONCLUSIONS: As a result of this study, D-dimer, prothrombin time, and international normalized ratio increase were found to be associated with mortality. These parameters need to be closely monitored during the patient follow-up.

The effects of favipiravir on hematological parameters of covid-19 patients.

INTRODUCTION: This study aims to evaluate changes in hematological parameters after the follow-up of patients who received treatment with favipiravir due to COVID-19 infections. METHODS: Sixty-two cases receiving favipiravir treatment for at least five days due to COVID-19 infection were evaluated retrospectively. Parameters including age, gender, nasopharyngeal swab positivity, and chronic diseases were analyzed. Hematologic parameters were analyzed before and after the treatment. RESULTS: The mean age of the patients receiving treatment with favipiravir was 63.7±12.3 years. Nasopharyngeal swab positivity was detected in 67.7%. The most common comorbid conditions detected in patients were hypertension in 25 cases (40.3%) and diabetes in 16 cases (25.8%). In the statistical analysis of the hematological parameters before and after treatment with favipiravir, WBC, PT-PTT-INR levels were found to be unaffected; the mean RBC was found to have decreased from 4.33 ± 0.58 M/uL to 4.16 ± 0.54 M/uL (p:0.003); the median hemoglobin level was found to have decreased from 12.3 g/dl to 11.9 g/dl (p:0.041); the hematocrit level decreased from 38.1% ± 4.8 to 36.9% ± 4.2 (p:0.026); the median neutrophil count decreased from 4.57 K/uL to 3.85 K/uL (p:0.001); the mean lymphocyte count increased from 1.22 ± 0.53 K/uL to 1.84 ± 1.19 K/uL (p:0.000); and the mean platelet count increased from 244.1 ± 85.1 K/uL to 281.9 ± 103.3 K/uL (p:0.005). CONCLUSION: We concluded that the pathological effect of treatment with favipiravir on the hematologic system was the suppression in the erythrocyte series, and there were no adverse effects in other hematologic parameters.

The effects of favipiravir on hematological parameters of covid-19 patients

SUMMARY INTRODUCTION This study aims to evaluate changes in hematological parameters after the follow-up of patients who received treatment with favipiravir due to COVID-19 infections. METHODS Sixty-two cases receiving favipiravir treatment for at least five days due to COVID-19 infection were evaluated retrospectively. Parameters including age, gender, nasopharyngeal swab positivity, and chronic diseases were analyzed. Hematologic parameters were analyzed before and after the treatment. RESULTS The mean age of the patients receiving treatment with favipiravir was 63.7±12.3 years. Nasopharyngeal swab positivity was detected in 67.7%. The most common comorbid conditions detected in patients were hypertension in 25 cases (40.3%) and diabetes in 16 cases (25.8%). In the statistical analysis of the hematological parameters before and after treatment with favipiravir, WBC, PT-PTT-INR levels were found to be unaffected; the mean RBC was found to have decreased from 4.33 ± 0.58 M/uL to 4.16 ± 0.54 M/uL (p:0.003); the median hemoglobin level was found to have decreased from 12.3 g/dl to 11.9 g/dl (p:0.041); the hematocrit level decreased from 38.1% ± 4.8 to 36.9% ± 4.2 (p:0.026); the median neutrophil count decreased from 4.57 K/uL to 3.85 K/uL (p:0.001); the mean lymphocyte count increased from 1.22 ± 0.53 K/uL to 1.84 ± 1.19 K/uL (p:0.000); and the mean platelet count increased from 244.1 ± 85.1 K/uL to 281.9 ± 103.3 K/uL (p:0.005). CONCLUSION We concluded that the pathological effect of treatment with favipiravir on the hematologic system was the suppression in the erythrocyte series, and there were no adverse effects in other hematologic parameters.

RESUMO INTRODUÇÃO Este estudo tem como objetivo avaliar as alterações nos parâmetros hematológicos após o acompanhamento de pacientes que receberam tratamento com favipiravir devido à infecção por Covid-19. MÉTODOS Sessenta e dois casos em tratamento com favipiravir por pelo menos cinco dias devido à infecção por Covid-19 foram avaliados retrospectivamente. Parâmetros como idade, sexo, positividade do swab nasofaríngeo e doenças crônicas foram analisados. Os parâmetros hematológicos foram analisados antes e após o tratamento. RESULTADOS A idade média dos pacientes que receberam tratamento com favipiravir foi de 63,7±12,3 anos. A positividade do swab nasofaríngeo foi detectada em 67,7%. As condições comórbidas mais comuns detectadas nos pacientes foram hipertensão em 25 casos (40,3%) e diabetes em 16 casos (25,8%). Na análise estatística dos parâmetros hematológicos antes e após o tratamento com favipiravir, os níveis de leucócitos, PT-PTT-INR não foram afetados. Verificou-se que o RBC médio diminuiu de 4,33±0,58 M/uL para 4,16±0,54 M/uL (p=0,003); o nível médio de hemoglobina foi reduzido de 12,3 g/dl para 11,9 g/dl (p=0,041); o nível de hematócrito diminuiu de 38,1%±4,8 para 36,9%±4,2 (p=0,026); a contagem mediana de neutrófilos diminuiu de 4,57 K/uL para 3,85 K/uL (p=0,001); a contagem média de linfócitos aumentou de 1,22±0,53 K/uL para 1,84±1,19 K/uL (p=0,000); a contagem média de plaquetas aumentou de 244,1±85,1 K/uL para 281,9±103,3 K/uL (p=0,005). CONCLUSÃO Concluiu-se que o efeito patológico do tratamento com favipiravir no sistema hematológico foi a supressão na série eritrocitária e que não houve efeitos adversos em outros parâmetros hematológicos.