Investigating socioeconomic disparities of Kangaroo mother care on preterm infant health outcomes.

Several studies have been conducted to examine the complicated relationships between various factors that influence Kangaroo mother care (KMC) for preterm infants. However, the extended socio-economic model has not been seen in any of the previous studies that looked into the factors related to KMC and how it affects the health outcomes of babies born before in our study population. This study examines the various dimensions of KMC implementation and its influence on the health outcomes of premature infants. The current cross-sectional study was carried out in South Punjab, Pakistan, covering both private and public KMC units in obstetrics and gynecology departments. The study included a sample size of 719 patients and was conducted during a period covering 21 September 2022 to 14 October 2023. Multinomial logistic regression analysis is employed to ascertain the factors by using SPSS-26 (SPSS Inc., Chicago, IL). The use of folic acid (OR: 1.44; 95% CI: 0.87-3.11) and factor anemia (OR: 8.82; 95% CI: 1.69-14.59) no significantly correlated with better health outcomes, while environmental toxin exposure had a negative impact (OR: 0.90). The findings underscore the need for comprehensive interventions and policies to bridge socioeconomic gaps, ensuring all preterm infants benefit from KMC.

Assessing socio-ecological factors on caesarean section and vaginal delivery: an extended perspective among women of South-Punjab, Pakistan.

Research was conducted employing the extended socio-ecological model (ESEM) to examine factors associated with cesarean sections (CSs) and vaginal deliveries (VDs) among the women in our study population. Using the ESEM to determine South-Punjab and Pakistani women's mode of delivery predictors. The cross-sectional study with a sample size of 908 patients was conducted through private and public obstetrics and gynecology departments in South Punjab, Pakistan, from 12 June 2022 to 29 May 2023. The Chi-square analysis compared baseline variables, delivery outcomes and delivery methods. Logistic regression analysis is used to determine predictive factors. The study revealed that 75.66% of women had CS, while 24.34% had VD. Education level, age, residential area and fetal presentation all had significant associations with mode of delivery. Logistic regression analysis suggested that gynecologist recommendation, belief in CS safety, abnormal fetal presentation, maternal anemia and meconium aspiration syndrome were all significant predictors of CS. The ESEM model concluded that age, fatigue and women's preference for CS due to its reliability for her and her fetus were predictive factors for mode of delivery choices among South-Punjab Pakistani women.

Risk factors identification of COVID-19 patients with chronic obstructive pulmonary disease: A retrospective study in Punjab-Pakistan.

BACKGROUND: Accessibility to the immense collection of studies on noncommunicable diseases related to coronavirus disease of 2019 (COVID-19) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an immediate focus of researchers. However, there is a scarcity of information about chronic obstructed pulmonary disease (COPD), which is associated with a high rate of infection in COVID-19 patients. Moreover, by combining the effects of the SARS-CoV-2 on COPD patients, we may be able to overcome formidable obstacles factors, and diagnosis influencers. MATERIALS AND METHODS: A retrospective study of 280 patients was conducted at DHQ Hospital Muzaffargarh in Punjab, Pakistan. Negative binomial regression describes the risk of fixed successive variables. The association is described by the Cox proportional hazard model and the model coefficient is determined through log-likelihood observation. Patients with COPD had their survival and mortality plotted on Kaplan-Meier curves. RESULTS: The increased risk of death in COPD patients was due to the effects of variables such as cough, lower respiratory tract infection (LRTI), tuberculosis (TB), and body-aches being 1.369, 0.693, 0.170, and 0.217 times higher at (95% confidence interval [CI]: 0.747-1.992), (95% CI: 0.231-1.156), (95% CI: 0.008-0.332), and (95% CI: -0.07 to 0.440) while it decreased 0.396 in normal condition. CONCLUSION: We found that the symptoms of COPD (cough, LRTI, TB, and bodyaches) are statistically significant in patients who were most infected by SARS-CoV-2.

Prevalence of covid-19 among patients with chronic obstructive pulmonary disease and tuberculosis.

BACKGROUND: The exhaustive information about non-communicable diseases associated with COVID-19 and severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) are getting easier to find in the literature. However, there is a lack of knowledge regarding tuberculosis (TB) and chronic obstructed pulmonary disease (COPD), with numerous infections in COVID-19 patients. OBJECTIVES: Priority is placed on determining the patient's prognosis based on the presence or absence of TB and COPD. Additionally, a comparison is made between the risk of death and the likelihood of recovery in terms of time in COVID-19 patients who have either COPD or TB. METHODOLOGY: At the DHQ Hospital in Muzaffargarh, Punjab, Pakistan, 498 COVID-19 patients with TB and COPD were studied retrospectively. The duration of study started in February 2022 and concluded in August 2022. The Kaplan-Meier curves described time-to-death and time-to-recovery stratified by TB and COPD status. The Wilcoxon test compared the survival rates of people with TB and COPD in two matched paired groups and their status differences with their standard of living. RESULTS: The risk of death in COVID-19 patients with TB was 1.476 times higher than in those without (95% CI: 0.949-2.295). The recovery risk in COVID-19 patients with TB was 0.677 times lower than in those without (95% CI: 0.436-1.054). Similarly, patients with TB had a significantly shorter time to death (p=.001) and longer time to recovery (p=.001). CONCLUSIONS: According to the findings, the most significant contributor to an increased risk of morbidity and mortality in TB and COPD patients was the COVID-19.KEY MESSAGESSARS-Cov-19 is a new challenge for the universe in terms of prevention and treatment for people with tuberculosis and chronic obstructive pulmonary disease, among other diseases.Propensity score matching to control for potential biases.Compared to hospitalized patients with and without (TB and COPD) had an equivalently higher mortality rate.