Inflammatory serum markers predicting spontaneous ureteral stone passage

Heidar, Nassib Abou; Labban, Muhieddine; Bustros, Gerges; Nasr, Rami

doi:10.1007/s10157-019-01807-5

Cited by 24 publications

(19 citation statements)

References 27 publications

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“…5,21 Previous studies revealed that stone size, stone position, and elevated inflammatory markers are predictors of SSP. 7,19,22,23 In this study, we assessed the role of a calculated ellipsoid volume reported on NCCT to predict SSP. We found serum NLR, urine leukocyte esterase, stone position, and stone volume to be predictors of SSP.…”

Section: Discussionmentioning

confidence: 99%

“…It is well established that stone size is a strong predictor of SSP; however, there is scarce evidence on the role of stone volume as a predictor of SSP. 3,19,24,25 We hypothesize that larger stone volumes would hinder stone passage due to a larger contact surface area, between the calculus and the ureter. 26 Moreover, a larger stone volume means a theoretically heavier mass to be propelled through ureteral peristalsis.…”

Section: Discussionmentioning

confidence: 99%

“…We opted to include the neutrophil-to-lymphocyte ratio as it was demonstrated that a higher ratio is associated with retained stones. 15,19…”

Section: Cuaj -Original Researchmentioning

confidence: 99%

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Does volume matter? Incorporating estimated stone volume in a nomogram to predict ureteral stone passage

Heidar

Labban

Nguyen

et al. 2021

CUAJ

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Introduction: Recent studies have shown that software-generated 3D stone volume calculations are better predictors of stone burden than measured maximal axial stone diameter. However, no studies have assessed the role of formula estimated stone volume, a more practical and cheaper alternative to software calculations, to predict spontaneous stone passage (SSP). Methods: We retrospectively included patients discharged from our emergency department on conservative treatment for ureteral stone (≤10 mm). We collected patient demographics, comorbidities, and laboratory tests. Using non-contrast computed tomography (CT) reports, stone width, length, and depth (w, l, d, respectively) were used to estimate stone volumes using the ellipsoid formula: V=π*l*w*d*0.167. Using a backward conditional regression, two models were developed incorporating either estimated stone volume or maximal axial stone diameter. A receiver operator characteristic (ROC) curve was constructed and the area under the curve (AUC) was computed and compared to the other model. Results: We included 450 patients; 243 patients (54%) had SSP and 207 patients (46%) failed SSP. The median calculated stone volume was significantly smaller among patients with SSP: 25 (14–60) mm3 vs. 113 (66–180) mm3 (p<0.001). After adjusting for covariates, predictors of retained stone included: neutrophil to lymphocyte ratio (NLR) ≥3.14 (odds ratio [OR] 6, 95 % confidence interval [CI] 3.49–10.33), leukocyte esterase (LE) >75 (OR 4.83, 95% CI 2.12–11.00), and proximal stone (OR 2.11, 95% CI 1.16–3.83). For every 1 mm3 increase in stone volume, the risk of SSP failure increased by 2.5%. The model explained 89.4% (0.864–0.923) of the variability in the outcome. This model was superior to the model including maximal axial diameter (0.881, 0.847–0.909, p=0.04). Conclusions: We present a nomogram incorporating stone volume to better predict SSP. Stone volume estimated using an ellipsoid formula can predict SSP better than maximal axial diameter.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Does volume matter? Incorporating estimated stone volume in a nomogram to predict ureteral stone passage

Heidar

Labban

Nguyen

et al. 2021

CUAJ

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“…A novel study has investigated the association between NLR with infectious complications, such as sepsis and systemic inflammatory response syndrome (SIRS), after surgery (9). Additional, NLR and PLR are predictive factors to determine stone impaction and spontaneous stone passage for ureteral stone disease (10). All these results are thought to be related to hydronephrosis.…”

Section: Discussionmentioning

confidence: 99%

Trombosit-Lenfosit Oranı ve Nötrofil-Lenfosit Oranı Böbrek Taşının Sertliğini Öngörür mü?

Karslı¹,

Üstüner²,

Halat³

et al. 2021

Mustafa Kemal Üniversitesi Tıp Dergisi

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Hounsfield ünitesi (HU), taş oluşumunu değerlendirmek için en yaygın değer ve aynı zamanda yönetim başarısı için öngörücü bir faktördür. Bu çalışmada, sistemik inflamatuar yanıt belirteçleri kullanarak taşın sertliğini tahmin etmeyi amaçladık. Gereç ve Yöntem: 2015 ve 2020 yılları arasında konvansiyonel perkütan nefrolitotomi uygulanan 192 hastaya (61 kadın ve 131 erkek) ait veri retrospektif olarak gözden geçirildi. Malignite, preoperatif idrar kültürü pozitif olan hastalar çalışma dışı bırakıldı. Hastaların nötrofil lenfosit oranı (NLR), trombosit lenfosit oranı (PLR) ve NCCT'den elde edilen böbrek taşı Hounsfield Ünitesi (HU) verilere kaydedildi.

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“…Inflammatory biomarkers are well studied in prostate cancer among other diseases. These biomarkers are proposed to act as an adjunct tool to improve the diagnosis of prostate cancer and predict the outcome and survival [6][7][8][9]; these biomarkers have been used as well to predict outcomes of inflammatory as well as infectious states [10,11]. Multiple inflammatory markers such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) are used to quantify the inflammation and thus could be used as predictors to infection.…”

Section: Introductionmentioning

confidence: 99%

Are Inflammatory Markers Useful in Predicting Urinary Tract Infection After Transrectal Ultrasound-Guided Biopsy of the Prostate?

Heidar

Shahait

Yaacoubian

et al. 2020

World J Nephrol Urol

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Background: Sepsis is a serious and life-threatening complication after transrectal ultrasound (TRUS)-guided prostate biopsy. It is critical to predict its occurrence prior to conducting the biopsy. The neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte (PLR) have been proven to be promising diagnostic indicators of infectious complications after various surgical procedures. The aim of this study was to determine whether inflammatory markers, NLR and PLR ratios, are useful surrogates to predict sepsis after TRUS biopsy. Methods: A total of 378 patients underwent TRUS-guided prostate biopsy with no clinical evidence of prostatitis from December 2009 to May 2013 in American University of Beirut Medical Center. Data collected included age, smoking status, prostate size, post-void residual, prostate-specific antigen (PSA) value, blood culture, urine culture, Gleason score, pathology results, neutrophils, leukocyte count and platelet counts. Also, NLR and PLR were calculated. The primary outcome collected was sepsis. All data were entered and analyzed by Statistical Package for Social Sciences. Results: Of the 378 patients who underwent TRUS biopsy, 31 patients developed sepsis. Septic patients were younger (63.7 ± 6.2 years) than non-septic patients (65.5 ± 8.0 years). No association between sepsis and NLR or PLR was observed; however, a significant association between sepsis and pre-biopsy urine analysis and pre-biopsy PSA (P = 0.011) was noted. Conclusion: In this study, none of the pre-procedure NLR and PLR studied was found to predict sepsis after TRUS biopsy. Future efforts should be directed to investigate this relationship in prospective studies.

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Inflammatory serum markers predicting spontaneous ureteral stone passage

Cited by 24 publications

References 27 publications

Does volume matter? Incorporating estimated stone volume in a nomogram to predict ureteral stone passage

Does volume matter? Incorporating estimated stone volume in a nomogram to predict ureteral stone passage

Trombosit-Lenfosit Oranı ve Nötrofil-Lenfosit Oranı Böbrek Taşının Sertliğini Öngörür mü?

Are Inflammatory Markers Useful in Predicting Urinary Tract Infection After Transrectal Ultrasound-Guided Biopsy of the Prostate?

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