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1.
Balkan Med J ; 40(3): 215-221, 2023 05 08.
Article in English | MEDLINE | ID: covidwho-2292314

ABSTRACT

Background: Health records changed over time in the countries, and also Türkiye passed from paper versions to personal health records (PHR) and put patients at the center of the system by allowing them to become the master of their health data. Aims: Presenting the current state of the e-Nabiz application nationwide in Turkey, and to evaluate the benefits of patients' online access to electronic health records and the system's interoperability. Study Design: A descriptive observational study. Methods: In the Turkish PHR system (e-Nabiz), services to patients to manage their health are categorized and analyzed within the scope of national digital health services. In addition, the data validation in the e-Nabiz within itself has been systematically expressed. Results: The Turkish PHR system allows users to use 30 different services for treatment, prevention, health promotion, and health-related and interrelated areas. Moreover, some statistics regarding the categories specified in the e-Nabiz system are included. Today, data is flowing from 28,608 system-integrated health facilities and 39 e-Nabiz integrated public institutions. In addition, 4.5 billion transactions are done by people by 2023 and 220 million users are queried by physicians to reach patients' labs and results. Plus, the e-Nabiz is adopted by 82% of the Türkiye population. Conclusion: There is no universal model for the content of the PHR. Given its importance to the patient, the content evolved and will continue to grow over the years. With the advent of coronavirus disease 2019, the system is equipped with three new services. The importance of these services over time and in the future has been demonstrated with increasing momentum.


Subject(s)
COVID-19 , Health Records, Personal , Humans , Turkey , Electronic Health Records
2.
Bone Marrow Transplant ; 56(4): 952-955, 2021 04.
Article in English | MEDLINE | ID: covidwho-2249335

ABSTRACT

In this study, we aim to report the outcome of COVID-19 in hematopoietic cell transplant (HCT) recipients. HCT recipients (n = 32) with hematological disease and hospitalized for COVID-19 were included in the study. A cohort of age and comorbid disease-matched hospitalized COVID-19 patients with hematological malignancy but not underwent HCT (n = 465), and another cohort of age and comorbid disease-matched hospitalized COVID-19 patients without cancer (n = 497) were also included in the study for comparison. Case fatality rate (CFR) was 5.6% in patients without cancer, 11.8 in patients with hematological malignancy and 15.6% in HCT recipients. The CFR in HCT recipients who were not receiving immunosuppressive agents at the time of COVID-19 diagnosis was 11.5%, whereas it was 33% in HCT recipients who were receiving an immunosuppressive agent at the time of COVID-19 diagnosis. In conclusion, our study reveals that for the current pandemic, HCT recipients, especially those receiving immunosuppressive drugs, constitute a special population of cancer patients.


Subject(s)
COVID-19/mortality , Hematologic Neoplasms/mortality , Hematopoietic Stem Cell Transplantation , Transplant Recipients , Hematologic Neoplasms/complications , Humans , Immunosuppressive Agents/administration & dosage
3.
North Clin Istanb ; 9(2): 183-187, 2022.
Article in English | MEDLINE | ID: covidwho-1856397

ABSTRACT

Turkey's Corona Precaution Application, a web-based and mobile service, has been actively used by the citizens of the Republic of Turkey and foreigners coming to Turkey since March 19, 2020. This article examines the Corona Precaution Application in terms of its success in detecting risky and positive cases among users. In this informative process analysis study, which is conducted in the lights of Ministry of Health of Turkey data, the efficiency of Corona Precaution Application in March 2020-August 2020 has been measured through the usage statistics from specific provinces and the effect of the application has been proved. The application was used by a total of 2.159.903 people on mobile and web platforms and risk assessments were made. As a result, 135.277 people who were scored as high risk were referred to health-care facilities, and 12.067 people were hospitalized with a positive diagnosis of COVID-19 in PCR tests or isolated at home. When evaluated cumulatively, Corona Precaution Application is used as an effective tool of the health system in the fight against COVID-19. 12.067 people were found to be positive with the referrals to the healthcare facility made through the application; thus, it has been one of the most effective tools in controlling the spread of the disease.

4.
Clin Exp Hypertens ; 44(6): 502-506, 2022 Aug 18.
Article in English | MEDLINE | ID: covidwho-1819699

ABSTRACT

AIM: The effect of hypertension (HT) and antihypertensive therapies such as renin-angiotensin-aldosterone system (RAAS) blockers on the disease course in COVID-19 patients is controversial. The purpose of this study was to evaluate the effect of HT and antihypertensive therapies on the course of COVID-19 disease. METHOD: The age, sex, comorbid diseases, and antihypertensive therapies of 132,790 patients with positive COVID-19 real-time transcriptase polymerase chain reaction (RT-PCR) tests in the Turkish Health Ministry National COVID-19 database between 11 March and 31 May 2020, were examined and analyzed. RESULTS: Forty-one percent of the 132,790 patients in this study (median age: 40, 47.3% female) were hospitalized for treatment, and 4.5% were followed-up in the intensive care unit (ICU). The most frequent comorbid disease, at 19.5%, was HT (n = 25,863). Mortality was determined in 4.9% of HT patients and 1.9% of non-HT patients (p < .001). HT, age, and male gender emerged as independent predictors of hospitalization and admission to the ICU, while HT was not a predictor of mortality. In addition, no adverse effect of any antihypertensive treatment, including RAAS inhibitors, on mortality was detected. CONCLUSION: Based on Turkish national data, HT is common in COVID-19 patients, but does not appear to be an independent predictor of mortality, and no adverse effect of RAAS inhibitors on COVID-19-related mortality was observed.


Subject(s)
COVID-19 Drug Treatment , COVID-19 , Hypertension , Angiotensin Receptor Antagonists/therapeutic use , Angiotensin-Converting Enzyme Inhibitors/pharmacology , Antihypertensive Agents/pharmacology , COVID-19/epidemiology , Female , Humans , Hypertension/chemically induced , Hypertension/drug therapy , Hypertension/epidemiology , Male , Renin-Angiotensin System , Retrospective Studies
5.
Endokrynol Pol ; 73(1): 87-95, 2022.
Article in English | MEDLINE | ID: covidwho-1675128

ABSTRACT

INTRODUCTION: COVID-19 disease has a worse prognosis in patients with diabetes, but comparative data about the course of COVID-19 in patients with type 1 (T1DM) and type 2 diabetes (T2DM) are lacking. The purpose of this study was to find out the relative clinical severity and mortality of COVID-19 patients with T1DM and T2DM. MATERIAL AND METHODS: A nationwide retrospective cohort of patients with confirmed (PCR positive) COVID-19 infection (n = 149,671) was investigated. After exclusion of individuals with unspecified diabetes status, the adverse outcomes between patients with T1DM (n = 163), T2DM (n = 33,478) and those without diabetes (n = 115,108) were compared by using the propensity score matching method. The outcomes were hospitalization, the composite of intensive care unit (ICU) admission and/or mechanical ventilation, and mortality. RESULTS: The patients with T1DM had higher mortality than the age- and gender-matched patients with T2DM (n = 489) and those without diabetes (n = 489) (p < 0.001). After further adjustment for the HbA1c, and microvascular and macrovascular complications, the odds of mortality (OR: 3.35, 95% CI: 1.41-7.96, p = 0.006) and ICU admission and/or mechanical ventilation (OR: 2.95, 95% CI: 1.28-6.77, p = 0.011) were significantly higher in patients with T1DM compared to those with T2DM. Older age (OR: 1.06, 95% CI: 1.01-1.12, p = 0.028) and lymphopaenia (OR: 5.13, 95% CI: 1.04-25.5, p = 0.045) were independently associated with mortality in patients with T1DM. CONCLUSIONS: Patients with T1DM had worse prognosis of COVID-19 compared to T2DM patients or those without diabetes. These cases should be cared for diligently until more data become available about the causes of increased COVID-19 mortality in T1DM.


Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Diabetes Mellitus, Type 1/complications , Diabetes Mellitus, Type 2/complications , Hospitalization , Humans , Retrospective Studies
6.
Turk J Med Sci ; 51(4): 1653-1658, 2021 08 30.
Article in English | MEDLINE | ID: covidwho-1526880

ABSTRACT

Background/aim: COVID-19 has now become a global pandemic. Understanding the routes of transmission is vital in the mitigation and suppression of the disease. Istanbul has become one of the disease's epicenters. This study aims to describe the first COVID-19 case and contact tracing efforts around it in Istanbul. Materials and methods: The descriptive study was conducted in Istanbul, Turkey. The first COVID-19 cases and those associated with them were investigated with contact tracing, and primary and secondary cases were described. Results: The source case was an individual who returned to Turkey from international travel at the beginning of March and tested PCR (­). The index case is the brother of the source case and is considered the first PCR (+) case diagnosed in Istanbul. Contact tracing revealed 23 PCR (+) cases, 14 of which resulted in hospitalization and three deaths. Conclusions: This study described cases of the first COVID-19 cluster in Istanbul. Moreover, contact tracing was used in this first cluster. This contributed to contact tracing algorithms in Turkey.


Subject(s)
COVID-19/transmission , Contact Tracing/methods , Hospitalization/statistics & numerical data , Adult , Aged , Female , Humans , Male , Middle Aged , SARS-CoV-2 , Turkey , Young Adult
7.
Intern Emerg Med ; 17(1): 135-139, 2022 01.
Article in English | MEDLINE | ID: covidwho-1263175

ABSTRACT

Previous studies reported that COVID-19 patients with cancer had higher rates of severe events such as intensive care unit (ICU) admission, mechanical ventilation (MV) assistance, and death during the COVID-19 course compared to the general population. However, no randomized study compared the clinical course of COVID-19 in patients with hematologic cancers to patients with solid cancers. Thus, in this study, we intend to reveal the outcome of COVID-19 in hematologic cancer patients and compare their outcomes with COVID-19 patients with solid cancers. The data of 926 laboratory-confirmed COVID-19 patients, including 463 hematologic cancer patients and an age-gender paired cohort of 463 solid cancer patients, were investigated retrospectively. The frequencies of severe and critical disease, hospital and ICU admission, MV assistance were significantly higher in hematologic cancer patients compared with the solid cancer patients (p = 0.001, p = 0.045, p = 0.001, and p = 0.001, respectively). The hospital stay was longer in patients with hematologic cancers (p = 0.001); however, the median ICU stay was 6 days in both groups. The case fatality rate (CFR) was 14.9% in patients with hematologic cancers, and it was 4.8% in patients with solid cancers, and there was a statistically significant difference regarding CFR between groups (p = 0.001). Our study revealed that COVID-19 patients with hematologic cancers have a more aggressive course of COVID-19 and have higher CFR compared to COVID-19 patients with solid cancers and support the increased susceptibility of patients with hematologic cancers during the outbreak.


Subject(s)
COVID-19 , Hematologic Neoplasms , Neoplasms , Hematologic Neoplasms/complications , Humans , Intensive Care Units , Neoplasms/complications , Respiration, Artificial , Retrospective Studies , SARS-CoV-2
8.
Turk J Med Sci ; 51(4): 1659-1664, 2021 08 30.
Article in English | MEDLINE | ID: covidwho-1218646

ABSTRACT

Background/aim: SARS-CoV-2 enters the cell through the binding of the S glycoprotein on the surface of the virus to the angiotensin- converting enzyme 2 (ACE-2) in the host cells and also SARS-CoV S protein binding to ACE-2 was inhibited by anti-A antibodies. The aim of the study was to investigate the relationship between blood groups and the course of COVID-19 in Turkey. Materials and methods: Laboratory confirmed COVID-19 patients aged 18 and over (n = 39.850) were randomized in age and sex- matched groups according to blood groups. Results: Advanced age, male sex and blood group A were found to be related with increased rate of intensive care unit (ICU) admission (OR = 1.089, 95% CI: 1.085­1.093 for age; OR = 1.963, 95% CI: 1.737­2.218 for male sex; OR = 1.216, 95% CI: 1.023­1.446 for blood group A). When blood group O individuals were compared to non-O individuals, no significant difference was observed regarding the rate of hospital and ICU admission, mechanical ventilation (MV) support, length of hospital and ICU stay, and case fatality rate (CFR). The CFR in patients with blood group A, B, O, and AB were 2.6%, 2.2%, 3.1%, and 2.3%, respectively. There were no significant differences between Rh-negative and positive patients regarding the rate of hospital and ICU admission (p = 0.280 and p = 0.741, respectively), also the rate of MV support and CFR was similar (p = 0.933 and p = 0.417). Conclusion: Our study revealed that ABO and Rh blood groups do not have any impact on the rate of hospital admission, hospital and ICU stay, MV support, and CFR.


Subject(s)
Blood Group Antigens/blood , COVID-19/blood , COVID-19/epidemiology , Critical Care/statistics & numerical data , Hospitalization/statistics & numerical data , Respiration, Artificial/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/pathology , Female , Humans , Intensive Care Units/statistics & numerical data , Length of Stay/statistics & numerical data , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Sex Factors , Turkey/epidemiology , Young Adult
9.
J Med Virol ; 93(2): 1099-1104, 2021 02.
Article in English | MEDLINE | ID: covidwho-1196442

ABSTRACT

In this study, we aim to report the outcomes for COVID-19 in patients with hematological malignancy in Turkey. Data from laboratory-confirmed 188 897 COVID-19 patients diagnosed between 11 March 2020 and 22 June 2020 included in the Republic of Turkey, Ministry of Health database were analyzed retrospectively. All COVID-19 patients with hematological malignancy (n = 740) were included in the study and an age, sex, and comorbidity-matched cohort of COVID-19 patients without cancer (n = 740) at a 1:1 ratio was used for comparison. Non-Hodgkin lymphoma (30.1%), myelodysplastic syndrome (19.7%), myeloproliferative neoplasm (15.7%) were the most common hematological malignancies. The rates of severe and critical disease were significantly higher in patients with hematological malignancy compared with patients without cancer (P = .001). The rates of hospital and intensive care unit (ICU) admission were higher in patients with hematological malignancy compared with the patients without cancer (P = .023, P = .001, respectively). The length of hospital stay and ICU stay was similar between groups (P = .7, P = .3, retrospectively). The rate of mechanical ventilation (MV) support was higher in patients with hematological malignancy compared with the control group (P = .001). The case fatality rate was 13.8% in patients with hematological malignancy, and it was 6.8% in the control group (P = .001). This study reveals that there is an increased risk of COVID-19-related serious events (ICU admission, MV support, or death) in patients with hematological malignancy compared with COVID-19 patients without cancer and confirms the high vulnerability of patients with hematological malignancy in the current pandemic.


Subject(s)
COVID-19/epidemiology , COVID-19/physiopathology , Hematologic Neoplasms/complications , Hematologic Neoplasms/virology , Adolescent , Adult , Aged , Aged, 80 and over , Comorbidity , Female , Hematologic Neoplasms/epidemiology , Humans , Intensive Care Units , Length of Stay/statistics & numerical data , Male , Middle Aged , Respiration, Artificial/statistics & numerical data , Retrospective Studies , Risk Factors , Turkey/epidemiology , Young Adult
12.
Gynecol Oncol ; 160(2): 499-505, 2021 02.
Article in English | MEDLINE | ID: covidwho-926965

ABSTRACT

OBJECTIVE: The objective of this study was to determine the rate of perioperative SARS-CoV-2 infection among gynecologic cancer patients undergoing major surgery. METHODS: The database of the Turkish Ministry of Health was searched in order to identify all consecutive gynecologic cancer patients undergoing major surgery between March 11, 2020 and April 30, 2020 for this retrospective, nationwide, cohort study. The inclusion criteria were strictly founded on a final histopathological diagnosis of a malignant gynecologic tumor. COVID-19 cases were diagnosed by reverse transcriptase- polymerase chain reaction testing for SARS-CoV-2. The rate of perioperative SARS-CoV-2 infection and the 30-day mortality rate of COVID-19 patients were investigated. RESULTS: During the study period, 688 women with gynecologic cancer undergoing major surgery were identified nationwide. The median age of the patients was 59 years. Most of the surgeries were open (634/688, 92.2%). There were 410 (59.6%) women with endometrial cancer, 195 (28.3%) with ovarian cancer, 66 (9.6%) with cervical cancer, 14 (2.0%) with vulvar cancer and 3 (0.4%) with uterine sarcoma. The rate of SARS-CoV-2 infections confirmed within 7 days before or 30 days after surgery was 46/688 (6.7%). All but one woman was diagnosed postoperatively (45/46, 97.8%). The rates of intensive care unit admission and invasive mechanical ventilation were 4/46 (8.7%) and 2/46 (4.3%), respectively. The 30-day mortality rate was 0%. CONCLUSION: In the COVID-19 era, gynecologic cancer surgery may be performed with an acceptable rate of perioperative SARS-CoV-2 infection if the staff and the patients strictly adhere to the established infection control measures.


Subject(s)
COVID-19/epidemiology , Genital Neoplasms, Female/surgery , SARS-CoV-2 , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/prevention & control , Female , Humans , Middle Aged , Perioperative Period , Retrospective Studies , Turkey/epidemiology , Young Adult
13.
North Clin Istanb ; 7(5): 443-451, 2020.
Article in English | MEDLINE | ID: covidwho-903054

ABSTRACT

OBJECTIVE: COVID-19 has spread worldwide and leads to an increased risk of mortality. We aimed to analyze what actions have been effective in fighting COVID-19 in Turkey with a comparison to pandemic-affected countries. METHODS: This was a retrospective observational cross-sectional study. The Republic of Turkey Ministry of Health official web page includes data reported daily from 11 March to 26 April. Global COVID-19 data were recorded daily from https://www.worldometers.info/coronavirus/country/. Data were analyzed for 31 days according to Intensive Care Unit (ICU) admission, intubation and mortality rates. Segmented regression analysis was used. The results from COVID-19-affected countries were compared with the results from Turkey for the first 65 days. RESULTS: In total, 889.742 tests were performed (positive=110.130 [12.37%]). The mortality rate was 2.55% (n=2805) on 27 April 2020. The annual percent change (APC) values of the cases showed 5 segments ([23.1], [14.7] [11.4], [3.7], [0.7]; each p=0.001). ICU admission showed 4 segments (APC: [3.1, p=0.001], [-2.2, p=0.10], [-7.6, p=0.001], [-4.5, p=0.001]). The decline of APC for intubation rates showed 5 segments (APC: [1.1, p=0.10], [-1.1,p=0.001], [-2.0, p=0.001], [-0.4, p=0.40], [-2.7, p=0.001]). The mortality rates showed 4 segments (APC: [-6.3, p=0.001], [8.4, p=0.001], [0.2, p=0.30], [1.4, p=0.001]). Deaths were reported per 1 million individuals for the first 65 days: Spain 11.6%, Italy 11.4%, UK 11.3%, France 11.1%, USA 10.3%, Germany 8.4%, Iran 8.2%, Turkey 7.5%, South Korea 4.1% and China 2.4%. CONCLUSION: Public health policies and protocols to combat COVID-19 helped control the spread and decrease positive cases and mortality rates in Turkey. Turkey managed COVID-19 better than Spain, Italy, UK, France, USA and Turkey managed COVID-19 similarly to Germany and Iran. China and South Korea were best at managing COVID-19.

14.
J Infect ; 81(6): 944-951, 2020 12.
Article in English | MEDLINE | ID: covidwho-799460

ABSTRACT

BACKGROUND: Diagnosis and screening of frailty, a condition characterized by an increased vulnerability to adverse outcomes of COVID-19, has emerged as an essential clinical tool which is strongly recommended by healthcare providers concerned with hospitalized elderly population. The data showing the role of frailty in patients infected with COVID-19 is needed. METHODS: This was a nationwide cohort study conducted at all hospitals in Turkey. All COVID-19 hospitalized patients (≥ 65 years) were included. Patients who were alive and not discharged up to July 20, 2020, were excluded. The frailty was assessed by using the "Hospital Frailty Risk Score" (HFRS). Patients were classified into three risk groups of frailty based on previously validated cut points as low (<5 points), intermediate (5-15 points), and high (>15 points). Additionally, patients who had the HFRS of ≥5 were defined as frail. The primary outcome was in-hospital mortality rates by frailty group. RESULTS: Between March 11, 2020, and June 22, 2020, a total of 18,234 COVID-19 patients from all of 81 provinces of Turkey were included. Totally, 12,295 (67.4%) patients were defined as frail (HFRS of >5) of which 2,801 (15.4%) patients were categorized in the highest level of frailty (HFRS of >15). Observed in-hospital mortality rates were 697 (12.0%), 1,751 (18.2%) and 867 (31.0%) in low, intermediate and high hospital frailty risk, respectively (p<0.001). Compared with low HFRS (<5), the adjusted odds ratios for in-hospital mortality were 1.482 (1.334-1.646) for intermediate HFRS (5-15) and 2.084; 95% CI, 1.799-2.413 for high HFRS (>15). CONCLUSIONS: As a claims-based frailty model, the HFRS provides clinicians and health systems, a standardized tool for an effective detection and grading of frailty in patients in COVID-19. A frailty-based tailored management of the older population may provide a more accurate risk categorization for both therapeutic and preventive strategies.


Subject(s)
COVID-19/mortality , Frail Elderly/statistics & numerical data , Frailty/epidemiology , Hospitalization/statistics & numerical data , Aged , Aged, 80 and over , COVID-19/epidemiology , Cohort Studies , Female , Frailty/virology , Geriatric Assessment/methods , Hospital Mortality , Humans , Length of Stay/statistics & numerical data , Male , Odds Ratio , Prevalence , Risk Assessment/methods , SARS-CoV-2 , Turkey/epidemiology
15.
J Gerontol A Biol Sci Med Sci ; 76(3): e68-e75, 2021 Feb 25.
Article in English | MEDLINE | ID: covidwho-737972

ABSTRACT

BACKGROUND: A novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) occurred in China in December 2019 and has spread globally. In this study, we aimed to describe the clinical characteristics and outcomes of hospitalized older adults with coronavirus disease 2019 (COVID-19) in Turkey. METHODS: We retrospectively analyzed the clinical data of hospitalized patients aged ≥ 60 years with confirmed COVID-19 from March 11, 2020 to May 27, 2020 using nationwide health database. RESULTS: In this nationwide cohort, a total of 16,942 hospitalized older adults with COVID-19 were enrolled, of whom 8,635 (51%) were women. Mean age was 71.2 ± 8.5 years, ranging from 60 to 113 years. Mortality rate before and after curfew was statistically different (32.2% vs. 17.9%; p < .001, respectively). Through multivariate analysis of the causes of death in older patients, we found that male gender, diabetes mellitus, heart failure, dementia, were all significantly associated with mortality in entire cohort. In addition to abovementioned risk factors, in patients aged between 60 and 79 years, hypertension, chronic kidney disease and cancer and in patients 80 years of age and older malnutrition were also associated with increased risk of mortality. CONCLUSIONS: In addition to the results of previous studies with smaller sample size, our results confirmed the age-related relationship between specific comorbidities and COVID-19-related mortality.


Subject(s)
COVID-19/epidemiology , Age Factors , Aged , Aged, 80 and over , COVID-19/mortality , Comorbidity , Female , Humans , Male , Middle Aged , Pandemics , Retrospective Studies , Risk Factors , SARS-CoV-2 , Turkey/epidemiology
16.
J Oncol Pharm Pract ; 26(7): 1676-1682, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-733073

ABSTRACT

INTRODUCTION: In this study, we aim to report the outcome of COVID-19 in chronic myeloid leukemia (CML) patients receiving tyrosine kinase inhibitor (TKI). METHOD: The data of 16 laboratory-confirmed COVID-19 patients with CML receiving TKI and age, gender, and comorbid disease matched COVID-19 patients without cancer at a 3/1 ratio (n = 48), diagnosed between March 11, 2020 and May 22, 2020 and included in the Republic of Turkey, Ministry of Health database, were analyzed retrospectively. RESULTS: The rates of intensive care unit (ICU) admission, and mechanical ventilation (MV) support were lower in CML patients compared to the control group, however, these differences did not achieve statistical significance (p = 0.1, and p = 0.2, respectively). The length of hospital stay was shorter in CML patients compared with the control group; however, it was not statistically significant (p = 0.8). The case fatality rate (CFR) in COVID-19 patients with CML was 6.3%, and it was 12.8% in the control group. Although the CFR in CML patients with COVID-19 was lower compared to the control group, this difference did not achieve statistical significance (p = 0.5). When CML patients were divided into 3 groups according to the TKI, no significant difference was observed regarding the rate of ICU admission, MV support, CFR, the length of stay in both hospital and ICU (all p > 0.05). CONCLUSION: This study highlights that large scale prospective and randomized studies should be conducted in order to investigate the role of TKIs in the treatment of COVID-19.


Subject(s)
Betacoronavirus/isolation & purification , Coronavirus Infections , Imatinib Mesylate/administration & dosage , Length of Stay/statistics & numerical data , Leukemia, Myelogenous, Chronic, BCR-ABL Positive , Pandemics , Pneumonia, Viral , Antineoplastic Agents/administration & dosage , COVID-19 , Coronavirus Infections/drug therapy , Coronavirus Infections/epidemiology , Coronavirus Infections/physiopathology , Coronavirus Infections/therapy , Female , Hospitalization/statistics & numerical data , Humans , Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy , Leukemia, Myelogenous, Chronic, BCR-ABL Positive/epidemiology , Male , Middle Aged , Outcome and Process Assessment, Health Care , Pneumonia, Viral/epidemiology , Pneumonia, Viral/physiopathology , Pneumonia, Viral/therapy , Protein Kinase Inhibitors/administration & dosage , Respiration, Artificial/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Turkey/epidemiology , COVID-19 Drug Treatment
17.
J Popul Ther Clin Pharmacol ; 27(S Pt 1): e5-e10, 2020 06 03.
Article in English | MEDLINE | ID: covidwho-602504

ABSTRACT

The COVID-19 virus has spread rapidly around the world and there are many patients in multiple countries. Great efforts have been made to find effective medications against the COVID-19. This study aims to compare the effectiveness of LINCOCIN® and AZITRO® in the treatment of COVID-19 associated pneumonia. A total of 24 hospitalized patients aged between 30-80 years who were admitted to the Tarsus Medical Park Hospital between February to March 2020 was included in the study. The patients were divided into LINCOCIN® and AZITRO® treatment groups. Bronchoalveolar-lavage PCR results were compared after treatment. The mean age was 58.4±15.4 years in the LINCOCIN® group and 59.1±16.6 years in the AZITRO® group. In the LINCOCIN® group, the rate of males was 66.7% and it was 58.3% in the AZITRO® group. There were no statistical differences in terms of age and gender between the groups. On the 6th day after starting treatment, negative bronchoalveolar PCR result was 83.3% in the LINCOCIN® group and 33.3% in the AZITRO® group. The negative bronchoalveolar PCR proportion was significantly higher in the LINCOCIN® group than in the AZITRO® group. LINCOCIN® usage may be more appropriate in the treatment of COVID-19 associated pneumonia. Further studies with a large sample size should clarify these results.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Azithromycin/therapeutic use , Coronavirus Infections/complications , Lincomycin/therapeutic use , Pneumonia, Viral/drug therapy , Adult , Aged , Aged, 80 and over , Anti-Bacterial Agents/administration & dosage , Anti-Bacterial Agents/adverse effects , Azithromycin/administration & dosage , Azithromycin/adverse effects , Betacoronavirus , Bronchoalveolar Lavage Fluid/virology , COVID-19 , Female , Humans , Lincomycin/administration & dosage , Lincomycin/adverse effects , Male , Middle Aged , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/etiology , Pneumonia, Viral/virology , Prospective Studies , Risk Factors , SARS-CoV-2
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