Background The epidemiology of COVID-19 and its association with cardiometabolic disorders is poorly understood. This is a narrative review that investigates the effects of COVID-19 infection on insulin resistance in patients with diabetes. Methods An online search of all published literature was done via PubMed and Google Scholar using the MeSH terms “COVID-19,” “SARS-CoV-2,” “coronavirus,” “insulin resistance,” and “diabetes.” Only articles that were directly applicable to insulin resistance in COVID-19 and diabetes was reviewed. Results Current data shows an increased risk of mortality in patients with diabetes and COVID-19 compared to those without diabetes. COVID-19 triggers insulin resistance in patients, causing chronic metabolic disorders that were non-existent prior to infection. Conclusion Patients with diabetes are more susceptible to COVID-19 infection than those without diabetes. ACE2 expression decreases with infection, exaggerating Ang II activity with subsequent insulin resistance development, an exaggerated immune response and severe SARS-COV-2 infection.

Background: Across the globe a large proportion of pregnancies have been reported as unintended. There are no available reports from South Africa concerning the prevalence of unintended pregnancies. This study explored the prevalence of unintended pregnancies among South African women attending a public primary health care (PHC) clinic in KwaZulu-Natal (KZN), South Africa. It also investigated the relationship between demographic factors, contraceptive use, substance abuse and unintended pregnancy in this setting. Methods: A descriptive cross-sectional survey was conducted among patients (n = 328) attending a PHC clinic. Participants were recruited by convenience sampling. Women who attended the clinic on their first antenatal visit were invited to participate. Participants filled out questionnaires in either English or isiZulu. Association between pregnancy and categorical variables was assessed. Results: Participants were mostly single (89.9%; n = 267), unemployed (70.8%; n = 222) with a monthly income of less than R 1 500 per month (63.8%; n = 81). Two-thirds of the women (64.33%; n = 211) had unintended pregnancies. There was a significant relationship between marital status and unintended pregnancy. Women who were married or living with their partners were more likely to have planned their pregnancies as compared with those who were single or divorced. Unemployed women were more likely to have had unintended pregnancies. No other socio-demographic factors were linked to unintended pregnancy. Conclusion: It is concluded that in this population of South African women with low education levels and low income, the prevalence of unintended pregnancies is high. These unintended pregnancies are linked to single status as well as unemployment.

Angiogenic imbalance contributes to the development of preeclampsia. We evaluated the protein expression of the proangiogenic placental growth factor (PlGF) and transforming growth factor beta 1 (TGF-β1) compared with the anti-angiogenic soluble fms-like tyrosine kinase receptor (sFlt1) and soluble endoglin (sEng) in HIV-infected normotensive and pre-eclamptic pregnancies.Blood was obtained from 110 pregnant women, enrolled in four groups, namely, HIV-negative normotensives (27); HIV-positive normotensives (31); HIV-negative pre-eclamptics (27) and HIV-positive pre-eclamptics (25), and was used to measure PlGF, TGF-β1, sFlt1 and sEng levels.Increased sFlt1 and sEng levels were associated with the pre-eclamptics (HIV negative and positive) compared with their counterparts. Decreased PlGF levels were observed between the HIV-negative pre-eclamptics versus HIV-negative normotensives, but levels differed significantly (p = 0.02) among the normotensives (HIV negative and positive). TGF-β1 remained unchanged across all groups. Higher sEng/TGF-β1 ratios were associated with the pre-eclamptics (HIV negative and positive) compared with their counterparts. This study demonstrated increased sFlt1 and sEng levels in pre-eclamptic compared with normotensive pregnancies, irrespective of the HIV status.

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Background: Across the globe a large proportion of pregnancies have been reported as unintended. There are no available reports from South Africa concerning the prevalence of unintended pregnancies. This study explored the prevalence of unintended pregnancies among South African women attending a public primary health care (PHC) clinic in KwaZulu-Natal (KZN), South Africa. It also investigated the relationship between demographic factors, contraceptive use, substance abuse and unintended pregnancy in this setting.Methods: A descriptive cross-sectional survey was conducted among patients (n = 328) attending a PHC clinic. Participants were recruited by convenience sampling. Women who attended the clinic on their first antenatal visit were invited to participate. Participants filled out questionnaires in either English or isiZulu. Association between pregnancy and categorical variables was assessed.Results: Participants were mostly single (89.9%; n = 267), unemployed (70.8%; n = 222) with a monthly income of less than R 1 500 per month (63.8%; n = 81). Two-thirds of the women (64.33%; n = 211) had unintended pregnancies. There was a significant relationship between marital status and unintended pregnancy. Women who were married or living with their partners were more likely to have planned their pregnancies as compared with those who were single or divorced. Unemployed women were more likely to have had unintended pregnancies. No other socio-demographic factors were linked to unintended pregnancy.Conclusion: It is concluded that in this population of South African women with low education levels and low income, the prevalence of unintended pregnancies is high. These unintended pregnancies are linked to single status as well as unemployment.