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2.
Front Endocrinol (Lausanne) ; 14: 1161637, 2023.
Article in English | MEDLINE | ID: covidwho-2323988

ABSTRACT

Introduction: Diabetes is one of the comorbidities associated with poor prognosis in hospitalized COVID-19 patients. In this nationwide retrospective study, we evaluated the risk of in-hospital death attributed to diabetes. Methods: We analyzed data from discharge reports of patients hospitalized with COVID-19 in 2020 as submitted to the Polish National Health Fund. Several multivariate logistic regression models were used. In each model, in-hospital death was estimated with explanatory variables. Models were built either on the whole cohorts or cohorts matched with propensity score matching (PSM). The models examined either the main effects of diabetes itself or the interaction of diabetes with other variables. Results: We included 174,621 patients with COVID-19 who were hospitalized in the year 2020. Among them, there were 40,168 diabetic patients (DPs), and the proportion of DPs in this group was higher than in the general population (23.0% vs. 9.5%, p<0.001). In this group of COVID-19 hospitalizations, 17,438 in-hospital deaths were recorded, and the mortality was higher among DPs than non-diabetics (16.3% vs. 8.1%, p<0.001). Multivariate logistic regressions showed that diabetes was a risk factor of death, regardless of sex and age. In the main effect analysis, odds of in-hospital death were higher by 28.3% for DPs than for non-diabetic patients. Similarly, PSM analysis including 101,578 patients, of whom 19,050 had diabetes, showed that the risk of death was higher in DPs regardless of sex with odds higher by 34.9%. The impact of diabetes differed among age groups and was the highest for patients aged 60-69. Conclusions: This nationwide study confirmed that diabetes was an independent risk factor of in-hospital death in the course of COVID-19 infection. However, the relative risk differed across the age groups.


Subject(s)
COVID-19 , Diabetes Mellitus , Humans , Poland/epidemiology , Retrospective Studies , Hospital Mortality , SARS-CoV-2 , Diabetes Mellitus/epidemiology , Hospitalization , Risk Factors
3.
Ginekol Pol ; 94(5): 389-394, 2023.
Article in English | MEDLINE | ID: covidwho-2305695

ABSTRACT

OBJECTIVES: The medical care of patients with gestational diabetes mellitus (GDM) during the COVID-19 pandemic was influenced by changing epidemiological conditions and government regulations. Aim - To compare the clinical pregnancy data of GDM women between waves I and III of the pandemic. MATERIAL AND METHODS: We performed a retrospective analysis of medical records from the GDM clinic and compared the periods of March-May 2020 (wave I) and March-May 2021 (wave III). RESULTS: Women with GDM during wave I (n = 119) compared to wave III (n = 116) were older (33.0 ± 4.7 vs 32.1 ± 4.8 years; p = 0.07), booked later (21.8 ± 8.4 vs 20.3 ± 8.5 weeks; p = 0.17), and had their last appointment earlier (35.5 ± 2.0 vs 35.7 ± 3.2 weeks; p < 0.01). Telemedicine consultations were used more frequently during wave I (46.8% vs 24.1%; p < 0.01), while insulin therapy was used less often (64.7% vs 80.2%; p < 0.01). Mean fasting self-measured glucose did not differ (4.8 ± 0.3 vs 4.8 ± 0.3 mmol/L; p = 0.49), but higher postprandial glucose was reported during wave I (6.6 ± 0.9 vs 6.3 ± 0.6 mmol/l; p < 0.01). Pregnancy outcome data were available for 77 wave I pregnancies and 75 wave III pregnancies. The groups were similar in terms of gestational week of delivery (38.3 ± 1.4 vs 38.1 ± 1.6 weeks), cesarean sections (58.4% vs 61.3%), APGAR scores (9.7 ± 1.0 vs 9.7 ± 1.0 pts), and birth weights (3306.6 ± 457.6 g vs 3243.9 ± 496.8 g) (p = NS for all). The mean wave I neonate length was slightly higher (54.3 ± 2.6 cm vs 53.3 ± 2.6 cm; p = 0.04). CONCLUSIONS: We identified differences between wave I and wave III pregnancies for several clinical characteristics. However, nearly all pregnancy outcomes were found to be similar.


Subject(s)
Diabetes, Gestational , Humans , Female , Pregnancy , Infant, Newborn , Glycemic Control , Pregnancy Outcome , Diabetes, Gestational/epidemiology , Diabetes, Gestational/therapy , COVID-19/epidemiology , Pandemics , Retrospective Studies , Blood Glucose , Adult
4.
Int J Endocrinol ; 2023: 8700302, 2023.
Article in English | MEDLINE | ID: covidwho-2265435

ABSTRACT

Background: Diabetes is a risk factor for a severe course of COVID-19. We evaluated the characteristics and risk factors associated with undesirable outcomes in diabetic patients (DPs) hospitalized due to COVID-19. Materials and Methods: The data analysis of patients admitted between March 6, 2020, and May 31, 2021, to the University Hospital in Krakow (Poland), a reference center for COVID-19, was performed. The data were gathered from their medical records. Results: A total number of 5191 patients were included, of which 2348 (45.2%) were women. The patients were at the median age of 64 (IQR: 51-74) years, and 1364 (26.3%) were DPs. DPs, compared to nondiabetics, were older (median age: 70 years, IQR: 62-77 vs. 62, IQR: 47-72, and p < 0.001) and had a similar gender distribution. The DP group had a higher mortality rate (26.2% vs. 15.7%, p < 0.001) and longer hospital stays (median: 15 days, IQR: 10-24 vs. 13, IQR: 9-20, and p < 0.001). DPs were admitted to the ICU more frequently (15.7% vs. 11.0%, p < 0.001) and required mechanical ventilation more often (15.5% vs. 11.3%, p < 0.001). In a multivariate logistic regression, factors associated with a higher risk of death were age >65 years, glycaemia >10 mmol/L, CRP and D-dimer level, prehospital insulin and loop diuretic use, presence of heart failure, and chronic kidney disease. Factors contributing to lower mortality were in-hospital use of statin, thiazide diuretic, and calcium channel blocker. Conclusion: In this large COVID-19 cohort, DPs constituted more than a quarter of hospitalized patients. The risk of death and other outcomes compared to nondiabetics was higher in this group. We identified a number of clinical, laboratory, and therapeutic variables associated with the risk of hospital death in DPs.

5.
Front Cardiovasc Med ; 10: 1133373, 2023.
Article in English | MEDLINE | ID: covidwho-2283820

ABSTRACT

Background: Atrial fibrillation (AF) is a common arrhythmia with increasing prevalence with respect to age and comorbidities. AF may influence the prognosis in patients hospitalized with Coronavirus disease 2019 (COVID-19). We aimed to assess the prevalence of AF among patients hospitalized due to COVID-19 and the association of AF and in-hospital anticoagulation treatment with prognosis. Methods and results: We assessed the prevalence of AF among patients hospitalized due to COVID-19 and the association of AF and in-hospital anticoagulation treatment with prognosis. Data of all COVID-19 patients hospitalized in the University Hospital in Krakow, Poland, between March 2020 and April 2021, were analyzed. The following outcomes: short-term (30-days since hospital admission) and long-term (180-days after hospital discharge) mortality, major cardiovascular events (MACEs), pulmonary embolism, and need for red blood cells (RBCs) transfusion, as a surrogate for major bleeding events during hospital stay were assessed. Out of 4,998 hospitalized patients, 609 had AF (535 pre-existing and 74 de novo). Compared to those without AF, patients with AF were older and had more cardiovascular disorders. In adjusted analysis, AF was independently associated with an increased risk of short-term {p = 0.019, Hazard Ratio [(HR)] 1.236; 95% CI: 1.035-1.476} and long-term mortality (Log-rank p < 0.001) as compared to patients without AF. The use of novel oral anticoagulants (NOAC) in AF patients was associated with reduced short-term mortality (HR 0.14; 95% CI: 0.06-0.33, p < 0.001). Moreover, in AF patients, NOAC use was associated with a lower probability of MACEs (Odds Ratio 0.3; 95% CI: 0.10-0.89, p = 0.030) without increase of RBCs transfusion. Conclusions: AF increases short- and long-term risk of death in patients hospitalized due to COVID-19. However, the use of NOACs in this group may profoundly improve prognosis.

6.
Antimicrob Resist Infect Control ; 12(1): 17, 2023 03 08.
Article in English | MEDLINE | ID: covidwho-2264184

ABSTRACT

BACKGROUND: Up to 48% of ventilated coronavirus disease 2019 (COVID-19) patients develop ventilator-associated pneumonia (VAP) during hospitalization in an ICU. Dysbiotic oral microbiota can colonize the lower respiratory tract and lead to VAP. It is recommended to introduce oral care strategies in the ICU to prevent VAP. In this study, we observed the impact of an oral hygienic protocol with tooth brushing on cultivable oral bacteriota, the incidence of HAI and patient safety among mechanically ventilated COVID-19 patients in an ICU setting. METHODS: In this prospective cohort study, we recruited 56 adult COVID-19 patients who qualified for mechanical ventilation. Patients were divided into 2 groups depending on the oral care procedure: standard and extended oral procedures with tooth brushing. Oral bacteriota samples were taken first within 36 h and after 7 days of intubation. Microorganisms were identified by MALDI/TOF mass spectrometry. bacterial health care-associated infection (HAI) cases were retrospectively analyzed by etiology. A PFGE study was performed for Klebsiella pneumoniae to check for clonal spreading of strains from oral bacteriota samples and HAI cases. RESULTS: We observed significant dysbiosis and a decrease in cultivable oral bacteriota diversity, with a high frequency of potentially pathogenic species, including Acinetobacter baumannii and K. pneumoniae. The HAI incidence rate was high (55.2/1000 patient-days), most commonly of K. pneumoniae and A. baumannii etiologies, which correlated with the presence of A. baumannii and K. pneumoniae in the oral samples. Strains isolated from VAP cases were the same as oral isolates in 8 cases. The procedure with tooth brushing led to less frequent identification of A. baumannii in oral samples (55.6% vs. 5.3%, p = 0.001); however, it did not decrease the incidence of HAIs. CONCLUSIONS: Dysbiotic oral bacteriota is an important source of respiratory pathogens. The introduction of tooth brushing in oral hygiene protocols in an ICU setting was effective in decreasing the extent of oral bacteriota dysbiosis; however, it did not reduce the risk of HAIs or mortality. TRIAL REGISTRATION: 1072.6120.333.2020.


Subject(s)
COVID-19 , Cross Infection , Pneumonia, Ventilator-Associated , Adult , Humans , Toothbrushing/adverse effects , Prospective Studies , Dysbiosis , Retrospective Studies , Intensive Care Units , COVID-19/epidemiology , COVID-19/complications , Pneumonia, Ventilator-Associated/microbiology , Cross Infection/epidemiology , Cross Infection/microbiology , Klebsiella pneumoniae , Delivery of Health Care
7.
J Diabetes Complications ; 37(1): 108379, 2023 01.
Article in English | MEDLINE | ID: covidwho-2180331

ABSTRACT

PURPOSE: COVID-19 has brought many challenges for providing quality healthcare for type 1 diabetes (T1DM). We evaluated the impact of the COVID-19 pandemic on the medical care, glycemic control, and selected outcomes in T1DM patients. METHODS: We retrospectively analyzed medical records from 357 T1DM adults enrolled in the Program of Comprehensive Outpatient Specialist Care at the University Hospital in Krakow, and assessed differences in patient data from before the COVID-19 period (March 2019-February 2020) and after it started COVID-19 (March 2020-February 2021). RESULTS: The median HbA1c levels and the percentage of patients within the HbA1c target of <7 % (53 mmol/mol) were similar in both periods: before and after the beginning of the pandemic (6.86 % [51.5 mmol/mol], IQR 6.23-7.58 % [44.6-59.3 mmol/mol] vs. 6.9 % [51.9 mmol/mol], IQR 6.2-7.61 % [44.3-59.7 mmol/mol]; p = 0.50 and 56.3 % vs. 57.1 %, p = 0.42, respectively). However, we observed a rise in BMI and body weight (median 24.25, IQR 21.97-27.05 vs. 24.82, IQR 22.17-27.87 and median weight 71.0 IQR 61-82 vs. 72.55, IQR 55-85; p < 0.001 for both comparisons). There was no reduction in the numbers of total diabetes-related visits (median 4, IQR 4-5 vs. 5, IQR 4-5; p = 0.065), but the frequency of other specialist consultations decreased (2, IQR 0-2 vs. 1, IQR 0-2). During the pandemic, telehealth visits constituted of 1191 out of 1609 (71.6 %) total visits. CONCLUSIONS: In this single-center observation, the COVID-19 pandemic did not have a negative impact on glycemic control in T1DM patients, but the patients' weight did increase. Telemedicine proved to be a valuable tool for T1DM care.


Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Adult , Humans , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/therapy , COVID-19/epidemiology , COVID-19/therapy , Cohort Studies , Retrospective Studies , Glycated Hemoglobin , Pandemics , Treatment Outcome , Ambulatory Care
8.
Journal of diabetes and its complications ; 2022.
Article in English | EuropePMC | ID: covidwho-2147369

ABSTRACT

Purpose COVID-19 has brought many challenges for providing quality healthcare for type 1 diabetes (T1DM). We evaluated the impact of the COVID-19 pandemic on the medical care, glycemic control, and selected outcomes in T1DM patients. Methods We retrospectively analyzed medical records from 357 T1DM adults enrolled in the Program of Comprehensive Outpatient Specialist Care at the University Hospital in Krakow, and assessed differences in patient data from before the COVID-19 period (March 2019–February 2020) and after it started COVID-19 (March 2020–February 2021). Results The median HbA1c levels and the percentage of patients within the HbA1c target of <7 % (53 mmol/mol) were similar in both periods: before and after the beginning of the pandemic (6.86 % [51.5 mmol/mol], IQR 6.23–7.58 % [44.6–59.3 mmol/mol] vs. 6.9 % [51.9 mmol/mol], IQR 6.2–7.61 % [44.3–59.7 mmol/mol];p = 0.50 and 56.3 % vs. 57.1 %, p = 0.42, respectively). However, we observed a rise in BMI and body weight (median 24.25, IQR 21.97–27.05 vs. 24.82, IQR 22.17–27.87 and median weight 71.0 IQR 61–82 vs. 72.55, IQR 55–85;p < 0.001 for both comparisons). There was no reduction in the numbers of total diabetes-related visits (median 4, IQR 4–5 vs. 5, IQR 4–5;p = 0.065), but the frequency of other specialist consultations decreased (2, IQR 0–2 vs. 1, IQR 0–2). During the pandemic, telehealth visits constituted of 1191 out of 1609 (71.6 %) total visits. Conclusions In this single-center observation, the COVID-19 pandemic did not have a negative impact on glycemic control in T1DM patients, but the patients' weight did increase. Telemedicine proved to be a valuable tool for T1DM care.

9.
Front Microbiol ; 13: 1013559, 2022.
Article in English | MEDLINE | ID: covidwho-2119627

ABSTRACT

Potential interactions between the SARS-CoV-2 virus and the human oral microbiota are currently investigated widely. Patients with COVID-19 requiring mechanical ventilation in an intensive care unit (ICU) setting are at high risk of developing severe complications, including ventilator-associated pneumonia, thus making oral health management important. The aim of this study was to evaluate the oral health status and assess the dysbiosis of cultivable oral bacteriota in COVID-19 patients hospitalized in an ICU with acute respiratory distress within 36 h following intubation. In this prospective cohort study, we recruited 56 adult COVID-19 patients that qualified for mechanical ventilation in the Temporary ICU for COVID-19 Patients of the University Hospital in Krakow. On admission to the ICU, oral health of patients was assessed using the modified Beck Oral Assessment Score (BOAS). Four oral habitats were sampled, namely the buccal mucosa, tongue, buccal dental surface and gingival pocket. Microorganisms were identified by MALDI/TOF mass spectrometry. The mean age of the study population was 66.5 ± 12.7 years, there were 24 (42.9%) females. All patients included in this study were intubated and ventilated in the ICU, with a corresponding high mortality rate (76.8%). On admission to ICU, 76.8% subjects scored 11-20 on the BOAS scale (median 12 [IQR 10-14]), indicating moderate or severe dysfunction of oral health. Potentially pathogenic bacteria were identified in the oral microbiota samples, including Acinetobacter baumannii, Enterococcus faecalis, Escherichia coli and Klebsiella pneumoniae in 23.2%, 39.3%, 17.9%, and 19.6% of patients, respectively. Lactobacillus spp. were present in 57.1% subjects. The mean CFU counts of all bacteria strains in dental brushes were 9.3E+5 (1.4E+6) and in gingival pockets 7.6E+5 (1.4E+6). The highest CFU counts were observed for Enterococcus spp. and, Lactobacillus spp., although these did not differ significantly from CFU counts of Streptococcus spp. and Staphylococcus spp. In this report we comprehensively characterized the oral health condition and cultivable oral bacteriota in COVID-19 patients hospitalized in an ICU with acute respiratory distress within 36 h following intubation. The oral bacteriota showed significant qualitative and quantitative dysbiosis. Hospitalization in an ICU and mechanical ventilation are important factors leading to oral dysbiosis in SARS-CoV-2 patients.

10.
Diabetes ; 71, 2022.
Article in English | ProQuest Central | ID: covidwho-1923969

ABSTRACT

Introduction: Diabetes is a risk factor for severe COVID-course. In this one-center report, we assessed clinical characteristics and risk factors associated with unfavorable outcomes in diabetic patients (DP) hospitalized due to COVID-19. Methods: We retrospectively analyzed data from a cohort of patients with confirmed SARS-CoV2 infection admitted to the University Hospital in Krakow (Poland) , a regional reference center for COVID-19, between March 6th 2020 and May 15th 2021. The data was collected from electronic medical records. Results: We included 5191 patients, mean age 61.98±16.66 years, 2348 (45.2%) women, 1364 (26.3%) DP. DP were older as compared to non-diabetics (median age 70 vs. 62 years, IQR 62-77 and 47-72, p<0.001) with similar gender distribution. DP were characterized by higher mortality (26.4% vs. 15.6%, p<0.001) , longer hospital stay (median 15 vs. 13 days, IQR 10-24 and 9-20, p<0.001) , more frequent ICU admission (15.7% vs. 11%, p<0.001) and more frequent requirement for mechanical ventilation (15.5% vs. 11.3%, p<0.001) . When adjusted for sex and age, the relative risk for in-hospital death, ICU admission and mechanical ventilation was 1.32 (95%CI 1.13-1.54) , 1.4 (95%CI 1.17-1.69) and 1.3 (95%CI 1.08-1.57) , respectively. Multivariable logistic regression showed age, CRP and D-dimer level, history of heart failure, and loop diuretic use were associated with higher risk of death, whereas anticoagulation therapy, ACEI/sartan/mineralocorticoid receptor antagonist use and thiazide use were associated with lower risk. Conclusions: In this large COVID-cohort, DP constituted more than one fourth of hospitalized patients. Their risk of death was ca. 30% higher as compared to non-diabetics, as was the risk of other important clinical outcomes. We identified a number of clinical, laboratory and therapeutical variables associated with risk of hospital death in DP with COVID-19.

12.
Neurol Neurochir Pol ; 55(3): 314-321, 2021.
Article in English | MEDLINE | ID: covidwho-1244327

ABSTRACT

OBJECTIVES: To evaluate the spectrum of neurological symptoms in patients with COVID-19 during the first 14 days of hospitalisation and its association with in-hospital mortality. MATERIAL AND METHODS: We included 200 patients with RT-PCR-confirmed COVID-19 admitted to University Hospital in Krakow, Poland. In 164 patients, a detailed questionnaire concerning neurological symptoms and signs was performed prospectively within 14 days of hospitalisation. In the remaining 36 patients, such questionnaires were completed retrospectively based on daily observations in the Department of Neurology. RESULTS: During hospitalisation, 169 patients (84.5%) experienced neurological symptoms; the most common were: fatigue (62.5%), decreased mood (45.5%), myalgia (43.5%), and muscle weakness (42.5%). Patients who died during hospitalisation compared to the remainder were older (79 [70.5-88.5] vs. 63.5 [51-77] years, p = 0.001), and more often had decreased level of consciousness (50.0% vs. 9.3%, p < 0.001), delirium (33.3% vs. 4.4%, p < 0.001), arterial hypotension (50.0% vs. 19.6%, p = 0.005) or stroke during (18.8% vs. 3.3%, p = 0.026) or before hospitalisation (50.0% vs. 7.1, p < 0.001), whereas those who survived more often suffered from headache (42.1% vs. 0%, p = 0.012) or decreased mood (51.7% vs. 0%, p = 0.003). CONCLUSIONS: Most hospitalised patients with COVID-19 experience neurological symptoms. Decreased level of consciousness, delirium, arterial hypotension, and stroke during or before hospitalisation increase the risk of in-hospital mortality.


Subject(s)
COVID-19 , Hospital Mortality , Humans , Poland , Retrospective Studies , SARS-CoV-2
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