Risk Factors Associated with Post-COVID-19 Conditions Among Diabetes Patients in the United Arab Emirates

Journal of Epidemiology and Global Health, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 20, 2025

Language: Английский

---

Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C)

BMJ Open Diabetes Research & Care, Journal Year: 2025, Volume and Issue: 13(1), P. e004536 - e004536

Published: Feb. 1, 2025

Introduction Elevated glycosylated hemoglobin (HbA1c) in individuals with type 2 diabetes is associated increased risk of hospitalization and death after acute COVID-19, however the effect HbA1c on Long COVID unclear. Objective Evaluate association glycemic control development patients (T2D). Research design methods We conducted a retrospective cohort study using electronic health record data from National Cohort Collaborative. Our included T2D eight sites longitudinal natural language processing (NLP) data. The primary outcome was or new-onset recurrent symptoms within 30–180 days COVID-19. Symptoms were identified as keywords clinical notes NLP respiratory, brain fog, fatigue, loss smell/taste, cough, cardiovascular musculoskeletal symptom categories. Logistic regression used to evaluate by range, adjusting for demographics, body mass index, comorbidities, medication. A COVID-negative group control. Results Among 7430 COVID-positive patients, 1491 (20.1%) developed symptomatic COVID, 380 (5.1%) died. 8% <10% (OR 1.20, 95% CI 1.02 1.41) ≥10% 1.40, 1.14 1.72) compared those 6.5% <8%. This not seen group. Higher levels symptoms, especially respiratory fog. There no between following more diagnosis codes. Conclusion Poor (HbA1c≥8%) people higher Notably, this rose. However, observed without history An NLP-based definition than codes should be considered future studies.

Language: Английский

---

Unveiling risk factors for post-COVID-19 syndrome development in people with type 2 diabetes

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 11, 2024

Introduction Post-COVID-19 syndrome (PCS) is a severe acute respiratory coronavirus 2 (SARS-CoV-2) infection-associated chronic condition characterized by long-term violations of physical and mental health. People with type diabetes (T2D) are at high risk for COVID-19 PCS. Aim The current study aimed to define the predictors PCS development in people T2D further planning preventive measures improving patient outcomes. Materials methods data were collected through national survey targeting persons concerning history course signs symptoms that developed during or after continued more than 12 weeks not explained an alternative diagnosis. In total, 469 patients from different regions Ukraine enrolled study. Among them, 227 reported (main group), while 242 did claim (comparison group). Stepwise multivariate logistic regression probabilistic neural network (PNN) models used select independent factors. Results Based on data, 8 factors associated selected: newly diagnosed (OR 4.86; 95% CI 2.55–9.28; p&lt;0.001), female sex 1.29; 0.86–1.94; p=0.220), severity 1.35 1.05–1.70; p=0.018), myocardial infarction 2.42 1.26–4.64; p=0.002) stroke 3.68 1.70–7.96; p=0.001) anamnesis, HbA1c above 9.2% 2.17 1.37–3.43; p=0.001), use insulin analogs 2.28 1.31–3.94; p=0.003) vs human 0.67 0.39–1.15; p=0.146). Although obesity aggravated severity, it impact development. ROC analysis, 8-factor multilayer perceptron (MLP) model exhibited better performance (AUC 0.808; CІ 0.770–0.843), allowing prediction sensitivity 71.4%, specificity 76%, PPV 73.6% NPV 73.9%. Conclusions Patients who T2D, had 9.2%, previous cardiovascular cerebrovascular events, mechanical lung ventilation

Language: Английский

---

The Impact of COVID-19 Severity on TNF-α and IFN-γ in T2DM Patients' PBMC Monocytes

Journal Of The Indonesian Medical Association, Journal Year: 2024, Volume and Issue: 74(2), P. 79 - 90

Published: May 6, 2024

Introduction: Monocytes are very sensitive to changes in the metabolic environment, including hyperglycemia, such as type 2 diabetes mellitus (T2DM). T2DM is characterized by chronic low-grade inflammation and becomes one COVID-19 comorbid. TNF-α IFN-γ cytokines often linked inflammation, severity of COVID-19, long COVID-19. This study aims analyze relationship between month post-infection.Methods: research an experimental at Integrated Laboratory Faculty Medicine, Universitas Indonesia, for four months. The total samples 44 cryotubes PBMC (18 26 Non-T2DM) from CARAMEL (COVID-19, Aging, Cardiometabolic Risk Factors). PBMCs were stimulated with inactivated whole virions SARS-CoV-2 incubated 24 hours. Monocyte subsets intracellular detected flow cytometry.Results: Research showed that group was higher all subsets. There no significant difference non-T2DM groups. Based on history MedFI classic intermediate monocytes differed significantly groups (p = 0.049 p 0.022). Further needed risk factors involved.Conclusion: monocyte differences related

Language: Английский

---

Retrospective Analysis of the Characteristics of the Post-COVID Period in Patients with Type 2 Diabetes, Infected During Different Variant-Associated Periods of COVID-19

Diabetes Mellitus, Journal Year: 2024, Volume and Issue: 27(5), P. 441 - 450

Published: Nov. 20, 2024

BACKGROUND: Since the emergence of coronavirus infection in clinical practice, particular attention has been paid to its acute phase. However, date, direct and indirect impact on patients with type 2 diabetes mellitus after recovery from remains an open question. OBJECTIVE : To determine laboratory features post-COVID period during different phases infection. MATERIALS AND METHODS A descriptive retrospective study was conducted using electronic medical records 134 who had recovered RESULTS: The majority were women, no significant differences age gender distribution across groups (p=0.384 p=0.207, respectively). During «Omicron» period, there fewer comorbidities hospitalized compared other (p<0.0167). Regarding diabetes-related conditions, frequent urination observed only «Alpha» while frequency hypoglycemia, hyperglycemia, severity chronic kidney disease, manifestations polyneuropathy did not differ significantly between (p>0.0167). When examining newly diagnosed diseases, a statistically difference found musculoskeletal disorders (16.7% vs. 30.2% «Delta» 3.7% «Omicron», p=0.015). In analysis indicators, detected platelet counts activated partial thromboplastin time (APTT): median lower group (210 [179.2–249.7] x10⁹/L 218 [196.5–281] 255 [208–327] x10⁹/L, respectively, p=0.016). APTT longer for (28 [23.6–31.3] seconds 30.3 [26.1–34.9] 27.1 [22.4–30.3] seconds, p=0.013). CONCLUSION Real-world data allow tracking development new symptoms diseases period. Patients variant-associated risk developing diseases. It is necessary implement solutions monitoring target HbA1c levels through information systems enhance reporting standards patient enable more accurate Real world (RWD).

Language: Английский

---

Implication of iron overload in COVID-19 pathogenesis and long COVID: a mechanistic review

Future Virology, Journal Year: 2024, Volume and Issue: 19(14-15), P. 525 - 538

Published: Oct. 12, 2024

COVID-19 causes cytokine storm which results in altered iron homeostasis within the system. The negative consequences of this include poor metabolism, ROS-induced oxidative damage, ferroptosis, and increased severity along with illnesses like anemia, thalassemia, diabetes, cancer, neurological disorders, long COVID. Therefore, managing overload natural or synthetic chelators alternative therapeutics can help to reduce COVID-19. This review analyzes intricate molecular mechanism dynamics during SARS-CoV-2 infection disease progression patients related clinical consequences. Also, explores a comprehensive understanding reciprocal between their adverse effects, thereby facilitating development potential therapeutic interventions.

Language: Английский

---