Background: Hypertension is a non-communicable disease and one of the most prominent modifiable risk factors for cardiovascular diseases. 7.6 million premature deaths are attributed to high blood pressure around the world. Better adherence with antihypertensive medications improves quality and length of life. This research focuses on the extent of adherence towards prescribed antihypertensive treatment, and identify factors influencing non-adherence.Methods: Descriptive cross-sectional study design was undertaken in various health care centers (2 primary health care center and 3 hospitals) of Nepal. A total of 348 individuals (age above 30) who suffered from hypertension visiting health institutes were included in the study. Adherence was calculated using Morisky Medication Adherence scale.Results: Adherence level to the antihypertensive medication as per the morisky adherence scale, 38.8% had medium level of adherence, 37.4% had a low adherence level, and 23.9% had a high adherence level among 348 participants. From the total participants, 89 admitted to be irregular in medication use. 56% of them claimed to do so because of forgetfulness, 12.4 % because of consistent exercise and low-salt diet, 10.1% due to the lack of affordability.Conclusions: Our study had concluded that the majority of participants had medium to low levels of adherence to anti-hypertensive drugs. Forgetfulness was major cause for irregular medication. Patient education and counseling, family support also seem to be important for proper adherence to drugs. Thus, health care providers should allocate ample time in educating, counseling clients and family.Keywords: Adherence; hypertension; medication; patients

BACKGROUND Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus referred to as SARS-CoV-2. Biomarkers has been linked with severity and appears to influence clinical outcomes among COVID-19 patients. Aims: This study aimed to describe the association of inflammatory biomarkers with clinical characteristics, severity and outcomes among COVID 19 patients in a tertiary tropical and infectious disease hospital in Nepal. METHODS This was a retrospective observational study where medical and lab records of COVID-19 inpatients (patients tested positive for SARS-CoV-2 via reverse transcriptase-polymerase chain reaction (RT-PCR)) admitted between April 2021 and September 2021 at Sukraraj Tropical and Infectious Disease Hospital, representing the second wave of COVID-19 were reviewed. Medical records of the patients were collected till discharge and inflammatory biomarkers were evaluated in relation to clinical presentations, severity and outcome among patients. Statistical analysis was done using SPSS 23. RESULTS A total of 628 COVID-19 confirmed patients admitted in the study period were included in the study, 487 patients (77.5%) improved, 118 (18.8%) expired, and 23 (3.7%) were referred. Severity at presentation was significantly associated with Ferritin (p 0.013), CRP (<0.001), D-dimer levels (0.003) and Neutrophil-to-Lymphocyte ratio (NLR) (<0.001). Fever was found to have significant association with CRP (p<0.001) and ferritin (p 0.004), but not with D-dimer (p 0.587). Non-survivors were found to have significant association with higher ferritin (p <0.001), CRP (p<0.001), D-dimer (p <0.001) and NLR (<0.001). The duration of hospital stay was significantly affected by D-dimer (p 0.001) and CRP levels (p<0.001). Similarly need for mechanical ventilation had significant association with higher levels of Ferritin (p 0.002), CRP (p<0.001), D-dimer (p<0.001) and NLR (<0.001). Serial recordings of D-dimer showed increasing values had significant association with poor outcome (p<0.001). CONCLUSION Higher values of D-dimer, ferritin, CRP and NLR were associated with higher severity of the COVID-19 disease and poor clinical outcomes including higher duration of hospital stay, higher need for mechanical ventilation and morbidity. Early stratification of disease based on biomarkers can guide early intervention to prevent bad outcomes.