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CT-related parameters and Framingham score as predictors of spontaneous passage of ureteral stones ≤ 10 mm: results from a prospective, observational, multicenter study

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Abstract

To investigate the reliability of newly defined CT-related parameters and cardiovascular risk factors in groups adjusted for stone size and location to predict spontaneous stone passage (SP) of uncomplicated ureteral stones ≤ 10 mm. The data of 280 adult patients with solitary unilateral ureteral stones ≤ 10 mm in diameter in non-contrast computed tomography were prospectively recorded. All patients undergoing a four-week observation protocol with medical expulsive therapy using tamsulosin were divided into two groups according to SP or no SP. Demographic, clinical and radiological findings of these groups were recorded. Spontaneous stone passage was observed in 176 (62.9%) of the patients, whereas the SP rate was 57.6% for 118 upper ureteral stones and 66.7% for 162 lower ureteral stones. The SP rate was 13.3 times greater with ureteral wall thickness < 1.88 mm, 4.4 times greater with a ratio of ureter to stone diameter of < 1.24, 3.4 times greater with Framingham score of < 11.5%, 2 times greater with neutrophil lymphocyte ratio < 1.96, 1.9 times greater with ureteral diameter < 6.33 mm and 1.5 times greater with stone volume < 38.54 mm3. Lower levels of ureteral wall thickness, ratio of ureter to stone diameter, Framingham score, neutrophil lymphocyte ratio, ureteral diameter, stone volume and absence of hydronephrosis were found to be more successful predictors. We consider that the success rate can be increased by selection of the proper option (observation or active treatment) according to these predictors.

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References

  1. Yoshida T, Inoue T, Taguchi M, Omura N, Kinoshita H, Matsuda T (2019) Ureteral wall thickness as a significant factor in predicting spontaneous passage of ureteral stones of <= 10 mm: a preliminary report. World J Urol 37(5):913–919. https://doi.org/10.1007/s00345-018-2461-x

    Article  PubMed  Google Scholar 

  2. European Association of Urology guidelines on Urolithiasis: the 2020 Update. EAU guidelines office, Arnhem, The Netherlands. https://uroweb.org/guideline/urolithiasis/#4. (Accessed 27 March 2020.).

  3. Choi T, Yoo KH, Choi SK, Kim DS, Lee DG, Min GE, Jeon SH, Lee HL, Jeong IK (2015) Analysis of factors affecting spontaneous expulsion of ureteral stones that may predict unfavorable outcomes during watchful waiting periods: what is the influence of diabetes mellitus on the ureter? Korean J Urol 56(6):455–460. https://doi.org/10.4111/kju.2015.56.6.455

    Article  PubMed  PubMed Central  Google Scholar 

  4. Jendeberg J, Geijer H, Alshamari M, Cierzniak B, Liden M (2017) Size matters: the width and location of a ureteral stone accurately predict the chance of spontaneous passage. Eur Radiol 27(11):4775–4785. https://doi.org/10.1007/s00330-017-4852-6

    Article  PubMed  PubMed Central  Google Scholar 

  5. Lee SR, Jeon HG, Park DS, Choi YD (2012) Longitudinal stone diameter on coronal reconstruction of computed tomography as a predictor of ureteral stone expulsion in medical expulsive therapy. Urology 80(4):784–789. https://doi.org/10.1016/j.urology.2012.06.032

    Article  PubMed  Google Scholar 

  6. Sahin C, Eryildirim B, Kafkasli A, Coskun A, Tarhan F, Faydaci G, Sarica K (2015) Predictive parameters for medical expulsive therapy in ureteral stones: a critical evaluation. Urolithiasis 43(3):271–275. https://doi.org/10.1007/s00240-015-0762-8

    Article  PubMed  Google Scholar 

  7. Kohjimoto Y, Sasaki Y, Iguchi M, Matsumura N, Inagaki T, Hara I (2013) Association of metabolic syndrome traits and severity of kidney stones: results from a nationwide survey on urolithiasis in Japan. Am J Kidney Dis 61(6):923–929. https://doi.org/10.1053/j.ajkd.2012.12.028

    Article  PubMed  Google Scholar 

  8. National Cholesterol Education Program Expert Panel on detection E, Treatment of high blood cholesterol in A (2002) Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation 106(25):3143–3421

    Article  Google Scholar 

  9. Leo MM, Langlois BK, Pare JR, Mitchell P, Linden J, Nelson KP, Amanti C, Carmody KA (2017) Ultrasound vs. computed tomography for severity of hydronephrosis and its importance in renal colic. West J Emerg Med 18(4):559–568. https://doi.org/10.5811/westjem.2017.04.33119

    Article  PubMed  PubMed Central  Google Scholar 

  10. Cohen A, Anderson B, Gerber G (2017) Hounsfield Units for nephrolithiasis: predictive power for the clinical urologist. Can J Urol 24(3):8832–8837

    PubMed  Google Scholar 

  11. Eisner BH, Sheth S, Dretler SP, Herrick B, Pais VM Jr (2012) Abnormalities of 24 hour urine composition in first-time and recurrent stone-formers. Urology 80(4):776–779. https://doi.org/10.1016/j.urology.2012.06.034

    Article  PubMed  Google Scholar 

  12. Sfoungaristos S, Kavouras A, Perimenis P (2012) Predictors for spontaneous stone passage in patients with renal colic secondary to ureteral calculi. Int Urol Nephrol 44(1):71–79. https://doi.org/10.1007/s11255-011-9971-4

    Article  PubMed  Google Scholar 

  13. Keller EX, De Coninck V, Audouin M, Doizi S, Daudon M, Traxer O (2019) Stone composition independently predicts stone size in 18,029 spontaneously passed stones. World J Urol 37(11):2493–2499. https://doi.org/10.1007/s00345-018-02627-0

    Article  PubMed  Google Scholar 

  14. Kuebker JM, Robles J, Kramer JJ, Miller NL, Herrell SD, Hsi RS (2019) Predictors of spontaneous ureteral stone passage in the presence of an indwelling ureteral stent. Urolithiasis 47(4):395–400. https://doi.org/10.1007/s00240-018-1080-8

    Article  CAS  PubMed  Google Scholar 

  15. Kadihasanoglu M, Marien T, Miller NL (2017) Ureteral stone diameter on computerized tomography coronal reconstructions is clinically important and under-reported. Urology 102:54–60. https://doi.org/10.1016/j.urology.2016.11.046

    Article  PubMed  Google Scholar 

  16. Zorba OU, Ogullar S, Yazar S, Akca G (2016) CT-based determination of ureteral stone volume: a predictor of spontaneous passage. J Endourol 30(1):32–36. https://doi.org/10.1089/end.2015.0481

    Article  PubMed  Google Scholar 

  17. Eisner BH, Pedro R, Namasivayam S, Kambadakone A, Sahani DV, Dretler SP, Monga M (2008) Differences in stone size and ureteral dilation between obstructing proximal and distal ureteral calculi. Urology 72(3):517–520. https://doi.org/10.1016/j.urology.2008.03.034

    Article  PubMed  Google Scholar 

  18. Jain A, Sreenivasan SK, Manikandan R, Dorairajan LN, Sistla S, Adithan S (2020) Association of spontaneous expulsion with C-reactive protein and other clinico-demographic factors in patients with lower ureteric stone. Urolithiasis 48(2):117–122. https://doi.org/10.1007/s00240-019-01137-x

    Article  CAS  PubMed  Google Scholar 

  19. Ozcan C, Aydogdu O, Senocak C, Damar E, Eraslan A, Oztuna D, Bozkurt OF (2015) Predictive factors for spontaneous stone passage and the potential role of serum C-reactive protein in patients with 4–10 mm distal ureteral stones: a prospective clinical study. J Urol 194(4):1009–1013. https://doi.org/10.1016/j.juro.2015.04.104

    Article  PubMed  Google Scholar 

  20. Lee KS, Ha JS, Koo KC (2017) Significance of neutrophil-to-lymphocyte ratio as a novel indicator of spontaneous ureter stone passage. Yonsei Med J 58(5):988–993. https://doi.org/10.3349/ymj.2017.58.5.988

    Article  PubMed  PubMed Central  Google Scholar 

  21. Boyd C, Wood K, Whitaker D, Assimos DG (2018) The influence of metabolic syndrome and its components on the development of nephrolithiasis. Asian J Urol 5(4):215–222. https://doi.org/10.1016/j.ajur.2018.06.002

    Article  PubMed  PubMed Central  Google Scholar 

  22. Fazlioglu A, Salman Y, Tandogdu Z, Kurtulus FO, Bas S, Cek M (2014) The effect of smoking on spontaneous passage of distal ureteral stones. BMC Urology 14:27. https://doi.org/10.1186/1471-2490-14-27

    Article  PubMed  PubMed Central  Google Scholar 

  23. Valente P, Castro H, Pereira I, Vila F, Araujo PB, Vivas C, Silva A, Oliveira A, Lindoro J (2019) Metabolic syndrome and the composition of urinary calculi: is there any relation? Cent Eur J Urol 72(3):276–279. https://doi.org/10.5173/ceju.2019.1885

    Article  CAS  Google Scholar 

  24. Canda AE, Dogan H, Kandemir O, Atmaca AF, Akbulut Z, Balbay MD (2014) Does diabetes affect the distribution and number of interstitial cells and neuronal tissue in the ureter, bladder, prostate, and urethra of humans? Cent Eur J Urol 67(4):366–374. https://doi.org/10.5173/ceju.2014.04.art10

    Article  Google Scholar 

  25. Otto BJ, Bozorgmehri S, Kuo J, Canales M, Bird VG, Canales B (2017) Age, body mass index, and gender predict 24 hour urine parameters in recurrent idiopathic calcium oxalate stone formers. J Endourol 31(12):1335–1341. https://doi.org/10.1089/end.2017.0352

    Article  PubMed  Google Scholar 

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The authors declare that they have no relevant financial interests.

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IS: Conception and design, acquisition of data, statistical analysis, analysis and ınterpretation of data, drafting of the manuscript. NB: Conception and design, acquisition of data, analysis and ınterpretation of data, critical revision of the manuscript for important intellectual content. TTT: Analysis and ınterpretation of data, critical revision of the manuscript for important intellectual content. ECA: Acquisition of data, analysis and ınterpretation of data, critical revision of the manuscript for important intellectual content. HB: Acquisition of data, critical revision of the manuscript for important intellectual content.

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Correspondence to Ismail Selvi.

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Ethical approval for research involving human participants.

The study was approved by the local ethics committee (the protocol number: 77192459–050.99-E.10736, 6/13; the date of approval: October 7, 2019) at Karabük University Training and Research Hospital. All procedures performed in our study involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Selvi, I., Baydilli, N., Tokmak, T.T. et al. CT-related parameters and Framingham score as predictors of spontaneous passage of ureteral stones ≤ 10 mm: results from a prospective, observational, multicenter study. Urolithiasis 49, 227–237 (2021). https://doi.org/10.1007/s00240-020-01214-6

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