Mixture and Non-Mixture Cure Models for the survival analysis of SARS-CoV-2 patients in Khyber Pakhtunkhwa, Pakistan.

Objective: To examine the potential difference in survival and risk of death between asymptomatic and symptomatic SARS-CoV-2 patients, controlled by age and gender for all the attendance in hospitals of Khyber Pakhtunkhwa (KP), Pakistan.

Methods: In this retrospective study, the medical records of 6273 SARS-CoV-2 patients admitted to almost all hospitals in Khyber Pakhtunkhwa during the first wave of the coronavirus outbreak from March to June 2020 were analysed. The effects of gender, age, and being symptomatic on the survival of SARS-CoV-2 patients were assessed using cure-survival models as opposed to the conventional Cox proportional hazards model.

Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network.

In recent times, time-to-event data such as time to failure or death is routinely collected alongside high-throughput covariates. These high-dimensional bioinformatics data often challenge classical survival models, which are either infeasible to fit or produce low prediction accuracy due to overfitting. To address this issue, the focus has shifted towards introducing a novel approaches for feature selection and survival prediction.

Impact of Comorbidity on the Duration from Symptom Onset to Death in Patients with Coronavirus Disease 2019: A Retrospective Study of 104,753 Cases in Pakistan.

(1) Background: The evidence indicates that comorbidities are associated with an increase in the risk of death from coronavirus disease 2019 (COVID-19). It is unclear whether such an association is different for various combinations of chronic disease comorbidities. (2) Methods: From 16 March 2020 to 30 November 2021, 104,753 patients with confirmed COVID-19 from Khyber Pakhtunkhwa Province, Pakistan, were studied to determine the association between comorbidities and the duration from symptom onset to death in patients with COVID-19 by stratifying their comorbidity status.

Two-Dose Vaccination Significantly Prolongs the Duration from Symptom Onset to Death: A Retrospective Study Based on 173,894 SARS-CoV-2 Cases in Khyber Pakhtunkhwa, Pakistan.

This research was carried out to quantify the duration from symptom onset to recovery/death (SOR/SOD) during the first four waves and the Alpha/Delta period of the epidemic in Khyber Pakhtunkhwa, Pakistan, and identify the associated factors. A total of 173,894 COVID-19 cases were admitted between 16 March 2020 and 30 November 2021, including 458 intensive care unit (ICU) cases. The results showed that the case fatality rate (CFR) increased with age, and females had a higher CFR.

The frequency of various diseases among patients attending Tehsil Headquarter Hospital Khwazakela, Swat.

This hospital-based study was conducted in THQ (Tehsil Headquarter) Hospital Khwazakhela, district Swat in April 2018, to determine the incidence of various diseases among patients in general and the cases attended in the OPD (out patients department) in particular. One year of data was taken from April 2017 to March 2018, of all the patients who attended the THQ Hospital to check the frequency of individual diseases, month wise, gender wise, age wise as well as, case wise. Information on patients attending OPD with respiratory, gastro intestinal, urinary tract diseases and other communicable diseases were compiled.

Risk factors of cardiovascular disease in district Swat.

Objective: To identify different risk factors of cardiovascular disease, to examine the association of these risk factors with the disease, and to assess the incidence of the disease in the study region.

Methods: The cross-sectional study was carried out at the Cardiology Department of Saidu Teaching Hospital, Swat, Pakistan, from September2013 to February2014, and comprised patients presenting with cardiac problems. Data was collected through cardiovascular risk assessment questionnaire by arranging a scheduled interview.