Background and Aims: Erector spinae block being safer and easier. Use of this block may decrease acute pain severity and incidence of Post herpetic neuralgia in herpes zoster infection. Aims: Evaluation of erector spinae plane block in pain management in herpes zoster infection when given with or without local anesthetic and steroids. Methods: Total 150 adult diagnostic cases of acute herpes zoster affecting lumber and chest were selected for the study. Patients were randomly divided into two groups for erector spinae block. The active group received ESP Block with 10 ml of 30mg bupivacaine plus 8mg dexamethasone and placebo.........

Keywords : Herpes zoster, ESP block, Post herpetic neuralgia.

[1]. Waldman SD. Acute herpes zoster and postherpetic neuralgia. In Waldman SD, ed. Pain Management. Philadelphia: Saunders; 2007:279–282.
[2]. Haanpaa M, Dastidar P, Weinberg A, et al. CSF and MRI findings in patients with acute herpes zoster. Neurology. 1998; 51:1405–1411.
[3]. Woolf CJ. A new strategy for the treatment of inflammatory pain. Prevention or elimination of central sensitization. Drugs. 1994; 47(suppl 5):1–9.
[4]. Opstelten W, van Wijck AJM, Stolker RJ. Interventions to prevent postherpetic neuralgia: cutaneous and percutaneous techniques. Pain. 2004; 107:202–206.
[5]. Aydın T, Balaban O, Ahiskalioglu A, Alici HA, Acar A. Ultrasound-guided erector spinae plane block for the management of herpes zoster pain: Observational study. Cureus 2019; 11:e5891.

Background: Specialist pharmacists in West Africa are increasingly central to chronic disease services, yet control of hypertension and type 2 diabetes remains suboptimal due to therapeutic inertia, fragmented follow up, and access barriers.¹ Pharmacist-led, protocol-driven clinics have demonstrated improved outcomes when paired with structured counselling, timely titration, and coordinated review schedules.² Emerging artificial intelligence (AI) tools offer.......

Keywords : Specialist pharmacist, artificial intelligence, hypertension, diabetes, risk stratification.

[1]. Amu, H., Brinsley, T. Y., Kwafo, F. O., Amu, S., & Bain, L. E. (2023) 'Improving investment in chronic disease care in Sub-Saharan
Africa: Application of the Chronic Care Model', Archives of Public Health, 81, p. 169.
[2]. Uhama, K. C., Ugwu, O. P., Alum, E. U., & Ugwuanyi, A. C. (2024) 'The role of pharmacists in managing chronic diseases:
Integrating medication therapy management, collaborative care, and technological innovations', Research Invention Journal of
Scientific and Experimental Sciences, 3(1), pp. 1-5.
[3]. Sharma, A., Adekunle, B. I., Ogeawuchi, J. C., Abayomi, A. A., & Onifade, O. (2023) 'AI-driven patient risk stratification models in public health: Improving preventive care outcomes through predictive analytics', Multidisciplinary Journal of Engineering, 4(3),
pp. 1123-1130.
[4]. Sudunagunta, A., Kumari, S. S., & Banday, H. F. (2025) 'Artificial intelligence-powered risk stratification in chronic disease
management: Integration with electronic medical records', La Prensa Medica.
[5]. Omboni, S. et al. (2020) 'Evidence and recommendations on the use of telemedicine for the management of arterial hypertension', Hypertension, 76(5), pp. 1368-1383.