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  1. Hayat M, Ahmad N, Mohkumuddin S, Ali Khan SL, Khan AH, Haq NU, et al.
    PLoS One, 2023;18(4):e0284439.
    PMID: 37058504 DOI: 10.1371/journal.pone.0284439
    BACKGROUND: Drug therapy problems (DTPs) are common among patients suffering from chronic kidney disease (CKD). However, there is a lack of information about DTPs and its predictors among CKD patients from Pakistan.

    OBJECTIVES: To evaluate the frequency, type and predictors of various types of DTPs among CKD patients at a tertiary-care hospital in Pakistan.

    METHODOLOGY: This was a cross-sectional study carried out at Sandeman Provincial Hospital, Quetta between 1-11-2020 and 31-1-2021. It included 303 non-dialysis ambulatory patients of CKD-stage 3 and above. Cipolle et al., criterion was used for classifying the DTPs and a clinician at the study site checked the identified DTPs for accuracy. Data were analyzed by SPSS 23. Multivariate analysis was conducted to find the predictors of individual types of DTPs. A p-value <0.05 was considered statistically significant.

    RESULTS: The patients received a total of 2265 drugs with a median of eight drugs per patient (range: 3-15 drugs). A total of 576 DTPs were identified among 86.1% patients with a median of two DTPs (interquartile range 1-3) per patient. Dosage too high (53.5%) was the most common DTP followed by adverse drug reactions (ADRs) (50.5%) and need of additional drug therapy (37.6%). In multivariate analysis, patients' age of >40 years emerged as a predictor of unnecessary drug therapy and dosage too high. The odds of needing a different drug product was significantly high in patients with cardiovascular diseases (CVD) and diabetes mellitus (DM). The dosage too low had significant association with CVD. The risk of ADRs was significantly high in elderly patients (>60 years) and those with CVD. The presence of hypertension, DM and CKD stage-5 emerged as predictors of dosage too high.

    CONCLUSION: This study revealed a high prevalence of DTPs among CKD patients. Targeted interventions in high risk patients may reduce the frequency of DTPs at the study site.

  2. Kumar P, Abubakar AA, Verma AK, Umaraw P, Adewale Ahmed M, Mehta N, et al.
    Crit Rev Food Sci Nutr, 2023 Nov;63(33):11830-11858.
    PMID: 35821661 DOI: 10.1080/10408398.2022.2096562
    Treating livestock as senseless production machines has led to rampant depletion of natural resources, enhanced greenhouse gas emissions, gross animal welfare violations, and other ethical issues. It has essentially instigated constant scrutiny of conventional meat production by various experts and scientists. Sustainably in the meat sector is a big challenge which requires a multifaced and holistic approach. Novel tools like digitalization of the farming system and livestock market, precision livestock farming, application of remote sensing and artificial intelligence to manage production and environmental impact/GHG emission, can help in attaining sustainability in this sector. Further, improving nutrient use efficiency and recycling in feed and animal production through integration with agroecology and industrial ecology, improving individual animal and herd health by ensuring proper biosecurity measures and selective breeding, and welfare by mitigating animal stress during production are also key elements in achieving sustainability in meat production. In addition, sustainability bears a direct relationship with various social dimensions of meat production efficiency such as non-market attributes, balance between demand and consumption, market and policy failures. The present review critically examines the various aspects that significantly impact the efficiency and sustainability of meat production.
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