Knowledge and awareness of Hepatitis B, Hepatitis C, and HIV among pregnant women in Pakistan.

INTRODUCTION: Hepatitis B, Hepatitis C, and Human Immunodeficiency Virus (HIV) affect a significant proportion of the populace in developing countries. Pregnant women and deprived segments of the population are disproportionately affected. The aim of our study was to assess the awareness regarding the three blood-borne infections amongst pregnant Pakistani women belonging to low socioeconomic classes. METHODOLOGY: A cross-sectional survey was conducted among 297 pregnant women at two antenatal healthcare facilities in Islamabad, Pakistan between September and November 2019. A pretested structured questionnaire was employed for data collection and knowledge levels were classified into three categories i.e. "Good", "Average", and "Poor" according to pre-set criteria. Data were analyzed using Microsoft Excel 2016 and SPSS Version 21. RESULTS: None of the study participants had "Good" knowledge regarding the three blood-borne infections. Around 52% of the women had "Poor" while 47% had "Average" knowledge. None of the study participants were aware that HIV can be transmitted during delivery. Women aged 30-35 years had significantly higher knowledge as compared to other age groups (p < 0.001). The difference in knowledge amongst women in association with education, income status, and previous pregnancies was not significant. CONCLUSIONS: Awareness regarding Hepatitis B, Hepatitis C, and HIV amongst pregnant Pakistani women of low socioeconomic status is insufficient which can lead to an increased risk of acquiring these infections, especially during childbirth. It is vital to impart health education regarding these diseases and monitor hygiene standards in health care facilities.

Coronavirus Disease Clinical and Laboratory Parameters: Dismembering the Values Reveals Outcomes.

Background The medical community's understanding of the novel coronavirus disease (COVID-19) was limited initially, and many laboratory investigations were performed to observe effects of the virus on the body, its complications, and outcomes. We observed that some laboratory investigations provided redundant information regarding outcomes, and, therefore, were not necessary. Therefore, the extent of laboratory investigations may need to be pared down to not only avoid issues related to repeated blood sampling but also to minimize the financial burdens in poor socioeconomic countries.  Objective This study aimed to observe trends of clinical and laboratory values in COVID-19 patients and their relationship to outcomes, including disease severity, length of hospital stay, and mortality. Methods We conducted an observational cohort study of COVID-19 patients treated as inpatients at the Shifa International Hospital (SIH) in Islamabad in April 2020. Patients were included if they were nonsurgical, adult inpatients of SIH diagnosed with COVID-19 via positive polymerase chain reaction test. We monitored study participants' clinical and laboratory values (including hypoxia) on admission and throughout the study period. We used IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY, USA) for data entry and analysis. Descriptive statistics were calculated for qualitative and quantitative data. We determined the effect of all variables on outcomes through chi-squared or Fisher's exact test, and p-values <0.05 with 95% confidence interval were considered statistically significant. Results A total of 51 patients with COVID-19 were enrolled. Most of the study participants were men older than age 50 with multiple comorbidities and resided in Khyber Pakhtunkhwa. Length of hospital stay ranged from eight to 14 days, and most patients had severe disease and survived. Factors such as patient age, gender, comorbid conditions, residence, and medication did not significantly affect outcomes. Hypotension during the height of symptoms and oxygen saturations <80% on admission was associated with prolonged hospital stays. Two complete blood count (CBC) parameters (platelet counts and mean corpuscular volume, MCV) were strongly associated with mortality and severity in our patients. Four non-CBC parameters (alanine transaminase, ALT; D-dimer; C-reactive protein, CRP; and lactate dehydrogenase, LDH) had strong statistical impact on disease severity, length of hospital stay, and mortality in our patients. Conclusion In a resource-limited country, laboratory testing must be chosen wisely and used appropriately. Patient age, gender, comorbid conditions, drugs, residence, and ferritin levels did not affect COVID-19 outcomes. Hemoglobin, platelet count, MCV, CRP, D-dimer, ALT, LDH, hypoxia, and hypotension were all correlated to disease outcomes. Therefore, these factors are useful laboratory examinations for COVID-19 patients, especially in poor countries.