Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis

Tang, Kun; Liu, Haoran; Jiang, Kehua; Ye, Tao; Yan, Libin; Liu, Peijun; Ding, Xia; Chen, Zhiqiang; Xu, Hua; Ye, Zhangqun

doi:10.18632/oncotarget.20344

Cited by 33 publications

(49 citation statements)

References 40 publications

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“…In a retrospective study of 513 patients with nephrolithiasis and 204 healthy controls, a signi cant difference was obtained in NLR, dNLR, and LMR between the patients with nephrolithiasis and healthy controls [(2.3 vs. 1.6; P < 0.001), (1.6 vs. 1.2; P < 0.001), (4.2 vs. 5.0; P < 0.001) respectively], whereas the PLR levels were comparable between both the groups (122.9 and 126.4). Signi cantly lowered levels of LMR was observed in patients with kidney stone [5]. In the present study, the lymphocyte level was signi cantly lower, while RDW level was signi cantly higher in patients with kidney stones.…”

Section: Discussionsupporting

confidence: 44%

“…Extensive literature search revealed that there is limited studies reported association of elevated in ammatory biomarkers in patients with urolithiasis [5]. Therefore, present study aimed to compare association of in ammatory biomarkers with urolithiasis.…”

Section: Introductionmentioning

confidence: 95%

“…In ammation plays a crucial role in the initial stage and the progression of urinary stones. Several in ammatory biomarkers including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein (CRP), C-reactive protein to albumin ratio (CAR), and systemic immune-in ammation index (SII) were used in diagnosis as well as help to predict the progression of various diseases [5]. Many studies have been reported exploring the association between in ammatory biomarkers and various diseases suggesting the key role of in ammatory biomarkers in the prediction of various life-threatening diseases [2,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Correlation of hematological inflammatory biomarkers in patients with urolithiasis: A prospective case control study

Manjunath¹,

Barua²,

Sarma³

et al. 2021

Preprint

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Background Inflammation plays a crucial role in the initial stage and the progression of urinary stones. The literature suggesting association of elevated inflammatory biomarkers in patients with urolithiasis is very scarce. Therefore, present study aimed to compare association of inflammatory biomarkers with urolithiasis. Methods This prospective study compared patients age > 14 years with kidney, bladder, ureter stones and no other systemic disease (test group) with healthy controls (control group). Baseline characteristics and routine blood tests were recorded. Primary endpoint was to diagnose the effect of biochemical parameters in stone prevalence. Results A total of 399 populations categorized into two groups: test group (n = 358) and control group (n = 41). The median age was 47.0 years in the test group and 48.0 years in the control group. The proportion of men was more than women in both the groups. The median C-reactive protein level and red cell distribution width (RDW) were significantly higher in the test group than control group (P < 0.001). Where, the lymphocyte level was significantly lowered in patients with kidney stones. Microscopic hematuria was present in approximately 17.6% of patients with urinary calculi (P = 0.001). Binary multiple logistic regression analysis with biochemical parameters, predicted that neutrophil (P = 0.010), lymphocyte (P = 0.040), neutrophil to lymphocyte ratio (NLR) (P = 0.006) and RDW (P < 0.001) were significantly associated with urinary stone prediction. Area under curve for RDW was 0.78 (95% CI 0.70–0.86); P < 0.001. Conclusions The present study demonstrated that NLR and RDW significantly increased in patients with kidney stone. It appears to be potentially useful inflammatory biomarkers of systemic inflammation in patients with kidney stone.

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Section: Discussionsupporting

confidence: 44%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Correlation of hematological inflammatory biomarkers in patients with urolithiasis: A prospective case control study

Manjunath¹,

Barua²,

Sarma³

et al. 2021

Preprint

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“…Atherosclerosis in humans is induced by various components of MetS, and when these components occur together, they are more significant in promoting atherosclerosis [6, 7]. Therefore, in both developed and developing countries, MetS is a fairly serious public health problem [8–10]. It is thus important to improve the preventive and therapeutic strategies of MetS.…”

Section: Introductionmentioning

confidence: 99%

Circulating ANGPTL8 Is Associated with the Presence of Metabolic Syndrome and Insulin Resistance in Polycystic Ovary Syndrome Young Women

Yin³

et al. 2019

Mediators of Inflammation

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Background. ANGPTL8 has been reported to be a regulator of lipid metabolism, and it is associated with insulin resistance (IR) and metabolic syndrome (MetS). We investigated whether ANGPTL8 plays a role in MetS. Methods. ANGPTL8 and adiponectin concentrations were measured in PCOS patients with or without MetS and in their corresponding healthy controls. The association of circulating ANGPTL8 with adiponectin and other parameters was also examined. Results. Circulating ANGPTL8 concentrations were higher in PCOS women with MetS than in those without MetS and in the controls (P<0.01). ANGPTL8 was positively correlated with age, BMI, FAT%, WHR, SBP, TG, FBG, HbA1c, Fins, and HOMA-IR (all P<0.01) in the study populations and negatively associated with adiponectin and M-values (P<0.001). In addition, ANGPTL8 was positively correlated with PRL, LH, TEST, and FAI and negatively correlated with SHBG (all P<0.01). ROC curve analyses showed that the AUCMetS was 0.87 (P<0.001), with a sensitivity of 92.4% and specificity of 75.4%, and the AUCIR was 0.82 (P<0.01), with a sensitivity of 76.4% and specificity of 75.6%. Conclusion. ANGPTL8 levels progressively decrease from PCOS patients with MetS to those without MetS and may be a serum marker associated with the degree of metabolic disorders.

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“…In multivariate analysis, this is only valid for age, platelet count and white blood cell count. Upon a look into the literature, Tang et al(20) emphasized that NLR ratio was an independent factor in predicting post-PCNL Systemic Inflammatory Response syndrome. Similar to our study, Cetinkaya et al(21) indicated that NLR was important in predicting post-PCNL fever in univariate analysis, but not in multivariate analysis.…”

mentioning

confidence: 99%

Can Neutrophil Count, Lymhocyte Count and Neutrophil-tolymphocyte Ratio Predict Fever Following Percutaneous Nephrolithotomy in Patients Without Risk Factors?

Demirtaş¹,

Baydilli²,

Tombul³

et al. 2020

jus

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Objective: To examine the relationship of neutrophil counts, lymphocyte count and neutrophil-to-lymphocyte ratio (NLR) with postoperative fever in patients undergoing percutaneous nephrolithotomy (PCNL). Materials and Methods: A total of 519 patients aged over 18 years, who underwent PCNL between January 2005 and January 2013 and had a preoperative white blood cell count between 4000-12,000/µL, were included in this study. Conditions that could lead to postoperative fever or impact blood parameters constituted the exclusion criteria. At the postoperative period, the patients were divided into two groups based on the presence of fever. Age, gender, Body Mass index, stone size, number of percutaneous access, duration of operation, preoperative white blood cell count, neutrophils, lymphocytes, and NLR were compared. The relationship of these parameters with fever was evaluated with univariate and multivariate analyses. Results: The group with fever included 50 patients and the group without fever, 469 patients. The difference between the two groups was statistically significant in terms of neutrophil and lymphocyte counts, and NLR. Univariate analysis revealed that preoperative thrombocyte count, lymphocyte count, neutrophil count, and NLR were the parameterss significantly related with fever, yet, in multivariate analysis, the only statistically significant parameters related with post-PCNL fever were age, thrombocyte count, and white blood cell count. Conclusion: When risk factors for fever are excluded, lymphocyte count and NLR appear to be easy-to-use and affordable diagnostic markers to predict postoperative fever in patients undergoing PCNL.Amaç: Perkütan nefrolitotomi (PNL) yapılan hastalarda lenfosit sayısı ve nötrofil lenfosit oranı (NLO) ile post operatif ateş arasındaki ilişkiyi değerlendirmek. Gereç ve Yöntem: Ocak 2005 -Ocak 2013 tarihleri arasında PNL yapılan 519 hasta çalışmaya alındı. Çalışmaya; 18 yaş ve üzeri, preoperatiferatif beyaz küre sayısı 4000-12,000 10 3 /µL arasında olan hastalar alındı. Postoperatif dönemde ateş yapabilecek ya da kan parametrelerini etkileyecek durumlar çalışma dışı bırakıldı. Postoperatif dönemde hastalar ateşi 38,5 °C üzeri olan ve ateşi olmayan olarak iki gruba ayrıldı. Bulgular: Ateş olan grupta 50 hasta, ateş olmayan grupta 469 hasta vardı. Gruplar arasında yaş, cinsiyet, Beden Kitle indeksi, giriş sayısı, taş boyutu, beyaz küre ve trombosit sayısı bakımından istatistiksel olarak anlamlı farklılık yoktu. Ancak nötrofil sayısı, lenfosit sayısı ve NLO değerleri arasında Abstract Öz

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Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis

Cited by 33 publications

References 40 publications

Correlation of hematological inflammatory biomarkers in patients with urolithiasis: A prospective case control study

Correlation of hematological inflammatory biomarkers in patients with urolithiasis: A prospective case control study

Circulating ANGPTL8 Is Associated with the Presence of Metabolic Syndrome and Insulin Resistance in Polycystic Ovary Syndrome Young Women

Can Neutrophil Count, Lymhocyte Count and Neutrophil-tolymphocyte Ratio Predict Fever Following Percutaneous Nephrolithotomy in Patients Without Risk Factors?

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