Urinary Stone Disease Recurrence: A Forty Eight Month Prospective Cohort with Metabolic Evaluation: Composition, Metabolic Profile, Intervention Engagement and Recurrence Trajectories in Two Hundred and Ninety Eight Patients

Dr. Mudasir Ahmad Tantray, Shadaab Malik, Mohd. Khursheed

Urolithiasis; Kidney Stones; Recurrence; Metabolic Evaluation; Hypocitraturia; Hypercalciuria; Uric Acid; Cystine.

Urinary stone disease is among the most common urological conditions globally with rising prevalence in South Asian populations, attributed to climatic conditions producing high ambient temperatures, dietary patterns, and inadequate hydration. Recurrence is the dominant clinical concern, with lifetime recurrence rates exceeding 50% without structured prevention. We undertook a prospective cohort study of 298 patients with at least one symptomatic urinary stone episode at a tertiary urology service over 48 months. Calcium oxalate stones accounted for 65.0% of analysed stones, calcium phosphate 11.4%, uric acid 13.0%, struvite 5.7%, cystine 2.4%, and mixed compositions 2.4%. 24-hour urine metabolic abnormalities were identified in 87.6% of patients, with low urine volume (64.2%), hypocitraturia (56.8%), and hypercalciuria (42.4%) the most common. Recurrence rates differed substantially by metabolic intervention engagement: 48-month recurrence-free probability was approximately 70% in high-engagement patients, 45% in moderate, and 25% in low. Strongest predictors of recurrence included prior stone history, low urine volume, hypocitraturia, hypercalciuria, uric acid composition, obesity, and diabetes. Targeted pharmacotherapy (citrate, thiazide, allopurinol) and adherence to dietary recommendations were strongly protective. The findings support structured 24-hour urine metabolic evaluation and individualised preventive intervention for all symptomatic stone formers.

[1] Agarwal, A., Kumar, D., & S, P. M. (2026). Optimizing clinical effectiveness of enhanced recovery after surgery (ERAS): Multidisciplinary pathways, patient-centered outcomes, and data-driven performance analytics. International Innovations & Scholarly Trends Journal, 2(2).
[2] Agarwal, P., Khatoon, N., & Kumar, A. (2026). Infection control and implant survival in orthopaedic surgery: Evidence-based strategies, antimicrobial innovation, and digital surveillance. International Journal of Scientific Research in Engineering and Management, 10(03).
[3] Ahluwalia, M. G. C. S., Gupta, S. K., & Chaudhary, A. (2026). Precision-oriented hemodynamic monitoring in critical care practice: Evidence-based strategies, clinical integration, and outcome optimization. International Journal of Scientific Research and Technology.
[4] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[5] Aumose, L., & Raj, M. A. (2026). Applications of intelligent motion control systems in promoting mental health and human-centered support for higher secondary students. In Intelligent motion control for human-centered systems (pp. 127–152). IGI Global.
[6] Bhatia, R., Shivakumar, R. M., & Kumar, N. (2026). Determinants of functional recovery and health-related quality of life following total hip and knee arthroplasty. International Journal of Recent Development in Engineering and Technology, 15(3).
[7] Bhatnagar, M., Kumar, N., & Shivam. (2026). Quality improvement frameworks in modern surgical practice: Evidence-based models, implementation science, and outcome-oriented performance evaluation. International Journal of Scientific Research and Engineering Development, 9(2).
[8] Bhatnagar, V., Tyagi, N., & John, L. (2026). Simulation-based competency development in anesthesia training: Educational theory, assessment validity, and clinical impact. International Journal of Versatile Research and Analysis, 4(2).
[9] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing patient engagement and outcomes through digital transformation: Machine learning in medical marketing. In Impact of digital transformation on business growth and performance (pp. 285–312). IGI Global.
[10] Catherine, S., Nasrin Sulthana, M., Manimaran, M., Praba Devi, P., & Akila, R. (2026). Cyber-physical systems and cloud robotics for global supply chain resilience. In Methodologies and applications of intelligent motion control systems (pp. 133–158). IGI Global.
[11] Deepa, R., Swadhi, R., Udayavani, V., Lakshmi, R., & Rafiq, S. (2026). Motion-controlled wearables for physiological monitoring and predictive diagnostics. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 1–28). IGI Global.
[12] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations: Transforming healthcare with AI. In AI for large scale communication networks (pp. 303–322). IGI Global.
[13] Durgia, B., Kumar, P., & Neha. (2026). Comparative clinical effectiveness and long-term functional outcomes of conservative versus surgical management in degenerative and compressive spinal disorders. International Journal of Scientific Research in Engineering and Management, 10(03).
[14] Gautam, M., Samyal, M., & Chaudhary, S. (2026). Preoperative risk stratification and surgical outcome prediction: Integrating clinical scoring systems, data-driven models, and patient-centered optimization. International Innovations & Scholarly Trends Journal, 2(3).
[15] Gupta, O. P., Gautam, S., & Maitiy, S. (2026). Management strategies for degenerative musculoskeletal disorders: An integrated clinical and technological framework. International Journal of Recent Development in Engineering and Technology, 15(3).
[16] Jagar, K. D., Kumar, A., & Yadav, A. (2026). Multimodal analgesia in acute and chronic pain management: Mechanistic rationale, clinical applications, and outcome-focused strategies. Journal of Advanced Academic Research and Findings, 4(2).
[17] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green marketing in healthcare advertising: A global perspective. In AI impacts on branded entertainment and advertising (pp. 303–326). IGI Global.
[18] Jha, S. C., Kumar, P., & Neha. (2026). Artificial intelligence-assisted decision support in internal medicine: Enhancing clinical judgment, precision care, and health system performance. International Journal of Scientific Development and Research, 11(2).
[19] Kumar, A., Kumar, N., & Dhabhai, M. (2026). Optimizing outcomes through evidence-based protocols in postoperative intensive care: Clinical standards, implementation strategies, and quality improvement. International Journal of Scientific Research and Technology.
[20] Kumar, P., Gautam, S., & Maitiy, S. (2026). Diagnostic utility of biomarkers in early disease stratification: Clinical applications, predictive value, and emerging innovations. Journal of Emerging Technologies and Innovative Research, 13(2).
[21] Kumar, R., Sharma, K., & Gupta, S. K. (2026). Multimorbidity patterns and therapeutic complexity in adult medical practice: Implications for polypharmacy and patient-centred care. International Journal of Creative Research Thoughts, 14(2).
[22] Kumar, S., Kumar, V., & Tomer, H. (2026). Evolution of minimally invasive surgical techniques and clinical outcomes: Technological progress, specialty-specific adoption, and outcome-oriented evidence. Asian Journal of Multidimensional Research.
[23] Lal, S. K., Vaibhav, & Khursheed, M. (2026). Anesthetic management in geriatric and comorbid patients: Clinical challenges, risk stratification, and outcome-oriented strategies. International Innovations & Scholarly Trends Journal, 2(2).
[24] Lodha, V., Sharma, K., & Saraswat, P. (2026). Role of structured multidisciplinary rehabilitation in optimizing functional recovery and long-term outcomes in musculoskeletal disorders. International Journal of Scientific Research in Engineering and Management, 10(03).
[25] Mishra, A., Choudhary, A., & Kumar, S. (2026). Infection prevention strategies in operative care: Evidence-based interventions, systems integration, and outcome-oriented practice. Asian Journal of Multidimensional Research.
[26] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: The role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74–103.
[27] Natarajan, P., Saravanan, A., Krishnakumar, B., Chandralekha, V., & Suresh Kumar, A. (2026). Motion control strategies in assistive devices for elderly and differently-abled patients. In Intelligent motion control for human-centered systems (pp. 103–126). IGI Global.
[28] Pavithra, M. R., Chitra, V., Subhashini, V., Hemalatha, D., & Kiran, S. R. (2026). Intelligent prosthetics motion learning and neuro-muscular feedback integration. In Intelligent motion control for human-centered systems (pp. 77–102). IGI Global.
[29] Pradeepa, S. V., Gokilavani, R., Deepan, A., Sridevi, J., & Selvi, K. (2026). Predictive maintenance and asset management using motion analytics. In Methodologies and applications of intelligent motion control systems (pp. 75–104). IGI Global.
[30] Rani, A., & Tyagi, N. (2026). Osteoporosis risk assessment and preventive interventions: Evidence-based screening, predictive modelling, and community-level strategies. International Journal of Recent Development in Engineering and Technology, 15(3).
[31] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[32] Sahu, R. L., Sharma, K., & Gupta, S. K. (2026). Biological and mechanical determinants of fracture healing: An integrated mechano-biological, systemic, and translational framework. International Journal of Recent Development in Engineering and Technology, 15(3).
[33] Sehgal, A., Jayapriya, R., & Kumar, A. (2026). Evidence-based rehabilitation in sports-related injuries: Clinical effectiveness, multidisciplinary integration, and technological advancements. International Journal of Recent Development in Engineering and Technology, 15(3).
[34] Selvi, K., Anbarasan, P., Madhumita, G., Janaki, L., & Devi, K. K. (2026). Governance, security, and ethical considerations in AI-driven motion control systems. In Methodologies and applications of intelligent motion control systems (pp. 217–242). IGI Global.
[35] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health: Applications, challenges, and innovations. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[36] Sharma, S., Sharma, K., & Tyagi, N. (2026). Geriatric psychiatry and cognitive decline: Clinical evaluation, neuropsychological determinants and evidence-based management. International Journal of Management Research and Social Science, 13(2).
[37] Singh, S., Chauhan, Y., & Kumar, D. (2026). Biomechanical innovations in orthopaedic implant design: Materials science, AI-assisted customization, and smart integration. International Journal of Scientific Research in Engineering and Management, 10(03).
[38] Singhal, A., Kumar, A., & Kataria, N. (2026). Advances in wound healing and tissue regeneration: Biomaterials, regenerative strategies, and translational challenges. International Innovations & Scholarly Trends Journal, 2(2).
[39] Subramani, M., Chillagattu, V., Gayathri, K., Rastogi, V., & Ranganathan, S. (2026). Digital twin integration for predictive and real-time motion control in infrastructure engineering. In Methodologies and applications of intelligent motion control systems (pp. 189–216). IGI Global.
[40] Suresh, N. V., Hemalatha, S., Lakshmi, S. J., Mounica, C., & Kalaivani, M. (2026). AI-enabled motion control in surgical robotics: Precision, dexterity, and real-time adaptation. In Intelligent motion control for human-centered systems (pp. 29–50). IGI Global.
[41] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging machine learning for enhanced patient engagement and outcomes: Revolutionizing healthcare marketing. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global.
[42] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation robotics and adaptive motion planning for patient-centric care. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 51–76). IGI Global.
[43] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global.
[44] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: Resilient healthcare SMEs. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[45] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025). Health impacts of smartphone and internet addictions across age groups: Physical and mental health across generations. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[46] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic collaborations in medical innovation and AI-driven globalization: Advancing healthcare startups. In Navigating strategic partnerships for sustainable startup growth (pp. 85–110). IGI Global.
[47] Vinodh, N., & Subramani, A. K. (2026). Augmented and virtual reality for training and operations in motion-control environments. In Intelligent motion control for human-centered systems (pp. 153–178). IGI Global.
[48] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026). Transforming the future of management and medical education: AI-driven innovations in curriculum design. In AI education strategies for future-proofing curriculum design (pp. 459–476). IGI Global.
[49] Yatish, Khatoon, N., & Kumar, A. (2026). Advancing preventive strategies for chronic disease management: Clinical, behavioral, and population-level perspectives. International Journal of Novel Trends and Innovation, 4(2).
[50] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.