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1.
Chron Respir Dis ; 18: 14799731211056348, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34797178

RESUMO

OBJECTIVES: Dysglycemia is known to be a common comorbidity of chronic obstructive pulmonary disease (COPD). However, undiagnosed dysglycemia and the associated factors remain under-reported. This study aimed to determine the prevalence and the associated factors of dysglycemia among COPD patients. METHODS: This was a cross-sectional, single-center study involving adults with established COPD (n = 186) divided into those with or without hospital admissions for acute exacerbation. Oral glucose tolerance test (OGTT) was performed in patients with no known history of dysglycemia. RESULTS: There were 16 patients who had overt diabetes, and 32 had prediabetes following the OGTT. Forty percent had histories of hospital admissions for COPD exacerbations. Both groups demonstrated similar 2-h post prandial glucose, glycated hemoglobin (HbA1c) and fasting blood glucose. The incidences of newly diagnosed dysglycemia were higher in both groups (40.8% vs 34.6%, p = 0.57). Cumulative days of admission (≥6 days/year) and weight (≥65 kg) were identified as predictors for dysglycemia within the study population. DISCUSSION: This study demonstrated a high number of overt and newly diagnosed dysglycemia among COPD patients who had no previous history of abnormal glucose. Recent acute exacerbations of COPD could have a negative impact on glycemia, although the results did not attain statistical significance. However, there is a need for adequate screening for dysglycemia, particularly among those with frequent acute exacerbations of their condition.


Assuntos
Estado Pré-Diabético , Doença Pulmonar Obstrutiva Crônica , Adulto , Glicemia , Estudos Transversais , Teste de Tolerância a Glucose , Humanos , Estado Pré-Diabético/epidemiologia , Prevalência , Doença Pulmonar Obstrutiva Crônica/complicações , Doença Pulmonar Obstrutiva Crônica/epidemiologia
2.
Int J Appl Comput Math ; 7(3): 67, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33898652

RESUMO

To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin's maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease.

3.
Respirol Case Rep ; 4(1): 19-21, 2016 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-26839696

RESUMO

We report a case of a 34-year-old lady with past history of asthma and pulmonary tuberculosis, who presented 5 weeks pregnant with acute dyspnea. Her chest X-ray showed left-sided complete lung collapse and concomitant right-sided pneumothorax. The pneumothorax was initially managed conservatively with a chest tube but due to its persistence despite suction, was subsequently changed to a Pneumostat(TM), with which she was later discharged. She had a normal echocardiography (ejection fraction [EF] 67%) at 5 weeks of gestation but developed pulmonary hypertension (EF 55%, pulmonary arterial pressure 40.7 mmHg) as the pregnancy progressed. She delivered a healthy baby at 35 weeks via elective lower section caesarean section with spinal anesthesia. We followed her up postnatally and noted the presence of left-sided pulmonary embolism, hypoplastic left lung, and left pulmonary artery. The management of this complex case involved a multidisciplinary effort between general medical, respiratory, obstetric, and cardiothoracic teams.

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