Global health has been thrown into turmoil by the COVID-19 pandemic, which has caused devastating morbidity and unprecedented loss of life in almost all continents of the world. It was predicted that the magnitude of the pandemic in Africa will be high because of poor health structure and intensely poor living condition, but that has not happened, surprisingly. It was hypothesized that the youthful population and a vastly primed immune system were protective, and many people may have been exposed without coming down with the severe disease. Most of them would have presented in hospitals with other medical conditions and possibly transmit COVID-19 to health workers inadvertently. This study is designed to measure serum SARS-CoV-2 IgG levels in health workers as a marker of latent exposure. Asymptomatic frontline health workers were randomly selected from the University College Hospital Ibadan, Nigeria; venous blood samples were obtained from them, and the serum SARS-CoV-2 IgG level was determined using ELISA techniques. A proportion of participants with seropositivity were obtained, and factors associated with seropositivity were determined. A total of 133 participants were recruited for this study, and 60 (45.1%) of them were seropositive for SARS-CoV-2. Among the seropositive participants were doctors, nurses, health assistants, laboratory scientists and technicians, and nonmedical staff. Obstetrics, gynecology, and emergency departments had higher odds of seropositivity. Seroprevalence of SARS-CoV-2 is very high among frontline health workers, though asymptomatic. This calls for a more stringent precaution against further spread within the hospital environment.

Global health has been thrown into turmoil by the COVID-19 pandemic, which has caused devastating morbidity and unprecedented loss of life in almost all continents of the world. It was predicted that the magnitude of the pandemic in Africa will be high because of poor health structure and intensely poor living condition, but that has not happened, surprisingly. It was hypothesized that the youthful population and a vastly primed immune system were protective, and many people may have been exposed without coming down with the severe disease. Most of them would have presented in hospitals with other medical conditions and possibly transmit COVID-19 to health workers inadvertently. This study is designed to measure serum SARS-CoV-2 IgG levels in health workers as a marker of latent exposure. Asymptomatic frontline health workers were randomly selected from the University College Hospital Ibadan, Nigeria; venous blood samples were obtained from them, and the serum SARS-CoV-2 IgG level was determined using ELISA techniques. A proportion of participants with seropositivity were obtained, and factors associated with seropositivity were determined. A total of 133 participants were recruited for this study, and 60 (45.1%) of them were seropositive for SARS-CoV-2. Among the seropositive participants were doctors, nurses, health assistants, laboratory scientists and technicians, and nonmedical staff. Obstetrics, gynecology, and emergency departments had higher odds of seropositivity. Seroprevalence of SARS-CoV-2 is very high among frontline health workers, though asymptomatic. This calls for a more stringent precaution against further spread within the hospital environment.

Background: Diabetes mellitus is a chronic disorder of glucose metabolism and it is associated with a compromised oral immunity. Salivary immunoglobulins offer a comprehensive protection for the oral cavity; however, there is insufficient data regarding their levels in type 2 diabetic patients. This study aimed to measure salivary Immunoglobulin G (IgG) and Immunoglobulin A (IgA) in diabetic patients in comparison to healthy nondiabetic controls. Methods: Diabetic patients from the outpatient clinic and nondiabetic healthy members of staff, were recruited for this study. Unstimulated saliva samples were collected from all participants and levels of immunoglobulins A and G were determined using enzyme-linked immunosorbent assay techniques; the values were compared between the two groups. Results: A total of 167 participants were recruited for this study, 95 (56.9%) of them were diabetic patients, while the remaining 72 (43.1%) were healthy nondiabetic controls. The median salivary IgA was 12.57 (Interquartile range [IQR] 11.05–13.67) g/ml in the diabetics and 11.94 (IQR 10.41–13.65) μg/ml in the control group; P = 0.31 while the median salivary IgG was 32.27 (IQR 25.26–38.33) μg/ml in the diabetics and 26.26 (22.48–31.29) μg/ml in the control group; P < 0.001. Conclusion: Salivary IgG was significantly elevated in the diabetic patients, in spite of a higher prevalence of oral infections, this calls for a more stringent attention to oral hygiene in diabetic patients.

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Background: Laboratory test request forms usually accompany patient’s samples to the laboratory, providing biodata and clinical details of the patient. This information is for purposes of identification and guiding pathologists to accurately interpret patient’s result. Clinicians however do not usually provide all the required information, thus making interpretation difficult. The frequency of such incompleteness is assessed in this study.Methods: Laboratory request forms received at the Chemical Pathology laboratory between July and September 2020 were assessed for completeness of all the required parameters. Parameters analyzed in this study included age, gender, hospital number, location, clinical information, name of requesting physician and the date of request. Frequency of missing parameters were expressed as proportions (%) of the total omissions.Results: There were 1906 request forms received during the course of this study and 789 (41.4%) of them had at least one missing parameter. Apart from patients’ names, nature of sample and the requested investigation, all other parameters were omitted at one time or the other making a total of 1117 omissions. Age (287; 25.7%) hospital number (264; 23.6%) and clinical information (246; 22%) were the most commonly omitted parameters. Majority of the omissions (69%) were from the outpatient clinics, 20% were from the wards while 10% of the forms had no ward or clinic indicated.Conclusion: Incomplete filling of laboratory test request forms is a regular occurrence among clinicians. Effort must be made to continually sensitize them of the importance of each of the required parameters to ensure a visible improvement.