OBJECTIVE To investigate the effect and mechanism of modified Lichong decoction （MLCD） on the apoptosis of transplanted tumor cells in nude mice. METHODS Human gastric cancer AGS cells were cultured， and a nude mice transplanted tumor model was established. The nude mice were divided into the model group and MLCD low-， medium- and high-dose groups （150， 300， 600 mg/kg）. They were given distilled water or the corresponding drug solution by gavage once daily for four consecutive weeks. The size of transplanted tumors in nude mice was measured every six days， and the tumor volume was calculated. After the medication， the nude mice were sacrificed， and the transplanted tumor tissues were isolated. The contents of lactate dehydrogenase （LDH） and reactive oxygen species （ROS） in the transplanted tumor tissues were detected， and the changes in mitochondrial membrane potential were assessed. The pathological morphological changes were observed. The enzymatic activities of caspase-3， caspase-8， and caspase-9， as well as protein expressions of Fas and FasL and mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL in the transplanted tumor tissues， were detected. RESULTS Compared with the model group， the volume of transplanted tumors in nude mice from all MLCD dose groups was reduced to varying degrees. The contents of LDH and ROS， as well as the enzymatic activities of caspase-3， caspase-8 and caspase-9， were significantly increased/enhanced. The mitochondrial membrane potential was significantly decreased. The protein expressions of Fas and FasL， and the mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL were significantly up-regulated. Most of these differences were statistically significant （ P ＜0.05 or P ＜0.01）. Pathological results showed that with increasing doses of MLCD， the cellular density in the transplanted tumor tissues gradually decreased， and typical morphological features of apoptosis， such as loosening and increasing fragmentation， became more prominent. CONCLUSIONS MLCD can induce apoptosis in transplanted tumor cells of nude mice， and its mechanism may be related to the activation of the Fas/FasL pathway and the caspase apoptotic pathway.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective To measure the urethral meatus circumference in middle-aged and elderly males to undergo surgery for benign prostatic hyperplasia (BPH), and to collect data for developing endoscopic equipment suitable for the male urethra in China. Methods Clinical data were collected from patients (aged ≥50 years) who underwent transurethral resection of prostate in the First Affiliated Hospital of Xi'an Jiaotong University during Jan. and Dec. 2024. All patients had the urethral meatus circumference measured with a metal urethral probe before surgery, followed by the use of a F26.5 endoscopic sheath for surgery. The passage of urethral meatus using different types of metal urethral probes were observed. Results For the 183 patients, the types of endoscopic sheath smoothly passing through the urethral meatus were distributed as follows:42 cases (22.95%) with F26 or above, 66 cases (36.07%) with F25-26, 27 cases (14.75%) with F23-24, 26 cases (14.21%) with F21-22, 22 cases (12.02%) with F20 or below, and the smallest was F17 (1 case). Of all patients, 59.02% (108/183) were able to insert the F26.5 endoscopic sheath smoothly into the urethral meatus (≥F25), 28.96% (53/183) required force or urethral dilation before inserting (F21-F24), and 12.02% (22/183) needed to open the urethral meatus before inserting the endoscopic sheath (≤F20). Conclusion When the most common F26.5 endoscopic sheath is used, 40.98% of the patients have the possibility of urethral injury, which is significantly too big for male transurethral surgery. For patients undergoing transurethral BPH surgery, a thinner sheath should be used to reduce the possibility of urethral injury and secondary iatrogenic urethral stricture.

Objective To investigate the efficacy of preoperative nebulized indocyanine green (ICG)-assisted thoracoscopic anatomical lesion resection (TALR) in treating pediatric congenital pulmonary airway malformation (CPAM). Methods A retrospective analysis was conducted on clinical data of 45 children with CPAM who underwent thoracoscopic surgery at the Third Affiliated Hospital of Zhengzhou University between June 2023 and March 2025. The patients were divided into an ICG group (preoperative nebulized ICG 0.5 mg/kg+TALR) and a non-ICG group (TALR under white light), with perioperative and postoperative recovery parameters compared between groups. Results A total of 45 children [22 males, 23 females; median age 7.4 (1.1-75.0) months] were enrolled. The ICG group (n=22) and non-ICG group (n=23) both achieved uneventful recoveries. Compared to the non-ICG group, the ICG group demonstrated significantly shorter surgical duration [91.3 (38.0-144.0) min vs. 100.0 (50.0-175.0) min, P=0.032], reduced intraoperative blood loss [3.0 (2.0-10.0) mL vs. 5.0 (1.0-10.0) mL, P=0.049], shorter postoperative drainage duration [2.7 (1.9-3.9) d vs. 3.4 (1.8-19.9) d, P=0.003], and shortened hospital stay [4.6 (2.9-9.8) d vs. 5.0 (3.9-21.5) d, P=0.013]. Residual lesions occurred in 2 patients from the non-ICG group but none in the ICG group. Intragroup comparisons revealed significant improvements in ratio of time to peak tidal expiratory flow to expiratory time, ratio of volume to peak tidal expiratory flow to expiratory volume, and tidal volume per kilogram after surgery in both groups (P<0.05), though intergroup differences showed no statistical significance (P>0.05). Conclusion Preoperative nebulized ICG administration facilitates lesion identification in CPAM, reduces technical difficulty of TALR, enhances therapeutic outcomes, and provides valuable assistance for performing TALR procedures.

Objective To explore the valve regurgitation status of left heart after the implantation of left ventricular assist device (LVAD) and its effect on prognosis of patients with LVAD implantation. Methods A total of 35 patients with cardiomyopathy who underwent magnetic levitation LVAD implantation at Zhongshan Hospital, Fudan University from February 2021 to July 2024 were retrospectively selected. Clinical data during hospitalization were collected, including preoperative basic data and postoperative valve regurgitation status. Telephone follow-ups were conducted to monitor patients’ survival status and transthoracic echocardiography was used to assess left valve function. Kaplan-Meier survival curves and log-rank test were employed to compare the survival rate of patients with different levels of valve regurgitation. Results The 35 patients had a mean age of (53.9±11.1) years, with 85.7% male, and 3 patients (8.6%) died during hospitalization. Preoperatively, 17 patients (48.6%) had moderate or greater mitral regurgitation, while all 35 patients had less than moderate aortic regurgitation. One month postoperatively, thirty patients were followed up, among which 24 patients (80%) had less than moderate mitral regurgitation, including 11 cases with alleviated regurgitation compared to pre-surgery; 6 patients (20%) had moderate or greater mitral regurgitation, including 4 cases with stable regurgitation and 2 cases with progression of regurgitation compared to pre-surgery; 2 patients (6.7%) had progression of aortic regurgitation to moderate or greater. The follow-up time was 1.2 (1.0, 2.1) years, with 1-year survival rate of 91.4% and 3-year survival rate of 71.1%. Survival analysis showed that the 3-year survival rate of patients with moderate or greater mitral regurgitation one month postoperatively was significantly lower than that of patients with less than moderate regurgitation (66.7% vs 83.3%, P＝0.046). Conclusions After the implantation of magnetic levitation LVAD, most patients showed improvement in mitral regurgitation, while aortic regurgitation remained unchanged. The degree of mitral regurgitation one month postoperatively is associated with prognosis.

Objective: To investigate the mechanism of in alleviating colonic mucosal inflammation in ten-eleven translocation (TET) protein 2 gene knockout (TET2-/-) mice with ulcerative colitis (UC) by regulating DNA methyltransferase (DNMT) and DNA hydroxymethylase. Methods: Male specific pathogen-free (SPF) grade C57BL/6J wild-type (WT) mice (n = 8) and TET2-/- mice (n = 20) were used to establish UC models by freely drinking 3% dextran sulfate sodium solution for 7 d. After UC model validation through histopathological examination in two mice from each type, the remaining mice were divided into four groups (n = 6 in each group): WT model (WT + UC), TET2-/- model (TET2-/- + UC), TET2-/- mild moxibustion (TET2-/- + MM), and TET2-/- electroacupuncture (TET2-/- + EA) groups. TET2-/- + MM group received mild moxibustion on Tianshu (ST25) and Qihai (CV6) for 10 min daily for 7 d. The TET2-/- + EA group also applied electroacupuncture (1 mA, 2/100 Hz) at the same acupoints for 10 min daily for 7 d. The disease activity index (DAI) scores of each group of mice were accessed daily. The colon lengths of mice in groups were measured following intervention. The pathological changes in the colon tissues were observed with hematoxylin and eosin (HE) staining. The concentrations of interleukin (IL)-6, C-C motif chemokine 17 (CCL17), and C-X-C motif chemokine ligand 10 (CXCL10) in serum were detected by enzyme-linked immunosorbent assay (ELISA). The expression of DNMT proteins (DNMT1, DNMT3A, and DNMT3B) in the colon tissues was detected by immunohistochemistry. The expression of 5-methylcytosine (5-mC), 5-hydroxymethylcytosine (5-hmC), histone deacetylase 2 (HDAC2), and DNA hydroxymethylase family proteins (TET 1 and TET3) was detected using immunofluorescence, which also determined the co-localization of TET1 and IL-6 protein. Results: Compared with WT + UC group, TET2-/- + UC group exhibited significantly higher DAI scores and shorter colon lengths (P < 0.01). Both mild moxibustion and electroacupuncture significantly decreased DAI scores and ameliorated colon shortening in TET2-/- mice (P < 0.001). Histopathological scores of TET2-/- + UC mice were significantly higher than those of WT + UC group (P < 0.001) and were significantly reduced after both mild moxibustion and electroacupuncture interventions (P < 0.001). Serum levels of IL-6, CCL17, and CXCL10 were significantly elevated in TET2-/- + UC group compared with WT + UC group (P < 0.001). Mild moxibustion significantly reduced IL-6, CCL17, and CXCL10 levels (P < 0.001, P < 0.001, and P < 0.01, respectively), while electroacupuncture also significantly reduced IL-6, CCL17, and CXCL10 levels (P < 0.05, P < 0.01, and P < 0.01, respectively). TET2-/- + UC mice showed increased expression levels of DNMT1, DNMT3A , DNMT3B, and 5-mC (P < 0.05, P < 0.01 and P < 0.001, respectively), with decreased expression levels of TET1, TET3, 5-hmC, and HDAC2 (P < 0.001). Mild moxibustion significantly reduced DNMT1, DNMT3B, and 5-mC levels (P < 0.05, P < 0.01, and P < 0.001, respectively), while increasing expression levels of TET1, TET3, 5-hmC, and HDAC2 (P < 0.001, P < 0.001, P < 0.05, and P < 0.001, respectively). Electroacupuncture significantly decreased 5-mC and DNMT3B levels (P < 0.001 and P < 0.01, respectively) and increased 5-hmC and HDAC2 levels (P < 0.05 and P < 0.001, respectively), but did not significantly affect TET1 and TET3 expression (P > 0.05). Compared with TET2-/- + MM group, TET2-/- + EA group showed significantly higher 5-mC expression (P < 0.001). TET2-/- + UC group exhibited markedly increased IL-6 expression and higher co-localization of TET1 and IL-6 in mucosal epithelium, whereas minimal IL-6 expression was observed in the other groups. Conclusion Mild moxibustion and electroacupuncture significantly ameliorate colonic inflammation exacerbated by TET2 deficiency in UC mice via epigenetic modulation. Distinct mechanisms exist between the two interventions: mild moxibustion regulates both DNMT and hydroxymethylase, whereas electroacupuncture primarily affects DNMT.

Shengjiangsan is a classic formula for treating warm diseases with wide clinical application and accurate efficacy. There are different opinions on the origin of this formula and lacks key information research on this formula. Therefore， in this study， we conducted systematic research into the historic origin， composition， and other key information of this Shengjiangsan. Results showed that Shengjiangsan has different versions， with "Neixian Fufang"， "Jiawei Jianghuangwan"， "Peizhensan"， and "Taijiwan" being the same formula with different names. Shengjiangsan was first recorded as "Neixian Fufang" in Wanbing Huichun written by GONG Tingxian from the Ming dynasty， inherited and developed by YANG Lishan from Qing dynasty， and has been passed down to modern times. Pills and powder are two main forms of Shengjiangsan， and powder has become more popular nowadays. According to the measurement system of Ming and Qing dynasties， the recommended dosage and usage of Shengjiangsan are as follows. For the pill version of Shengjiangsan， Bombyx Batryticatus of 74.6 g， Curcumae Longae Rhizoma of 9.325 g， Cicadae Periostracum of 9.325 g， and Rhei Radix et Rhizoma of 149.2 g were processed into pills for preparation. Single dosage is Bombyx Batryticatus of 1.15 g， Curcumae Longae Rhizoma of 0.14 g， Cicadae Periostracum of 0.14 g， and Rhei Radix et Rhizoma of 2.3 g， with halved dosage applied for children. For the powder version of Shengjiangsan， the dosage varied in accordance with the severity of the disease. Bombyx Batryticatus of 1.84 g， Curcumae Longae Rhizoma of 0.28 g， Cicadae Periostracum of 0.92 g， and Rhei Radix et Rhizoma of 3.68 g were processed into powder for patients with mild symptoms. Bombyx Batryticatus of 2.48 g， Curcumae Longae Rhizoma of 0.37 g， Cicadae Periostracum of 1.23 g， and Rhei Radix et Rhizoma of 4.91 g were processed into powder for patients with severe symptoms. Bombyx Batryticatus of 3.68 g， Curcumae Longae Rhizoma of 1.84 g， Cicadae Periostracum of 0.55 g， and Rhei Radix et Rhizoma of 7.36 g were processed into powder for patients with critical conditions. In this formula， four herbs were ground to fine powder. For patients with mild symptoms， the whole formula was divided into four dosages， and each dosage weighed 6.71 g. The 200 mL yellow rice wine and 18.65 g honey were added， and the solution was stirred and taken cold till full recovery. For patients with severe symptoms， the whole formula was divided into three dosages， and each weighed 8.95 g. 300 mL yellow rice wine and 27.98 g honey were added， and the solution was stirred and taken cold. For patients with critical conditions， the whole formula was divided into two dosages， and each weighed 13.43 g. 400 mL yellow rice wine and 37.3 g honey were added， and the solution was stirred and taken cold. Shengjiangsan has the effect of ascending lucidity and descending turbidity， dissipating wind， and clearing heat. It is specialized in treating severe heat in exterior， interior， and triple energizers in warm diseases and has a wide modern clinical application. In this study， the historic evolution and key information of Shengjiangsan were reviewed and analyzed， and the key information table of Shengjiangsan was attached， serving as a reference for scholars' research and a theoretical basis for its market transformation.

Objective To evaluate the value of imaging quantification parameters in artificial intelligence (AI) assisted diagnosis systems in clinical decision-making for lung nodules≤2 cm and the diagnostic efficacy of AI. Methods Lung nodule patients admitted to Affiliated Zhongshan Hospital of Dalian University from 2020 to 2023 were included. Imaging parameters of lung nodules were extracted using AI assisted diagnosis systems. Multifactor analysis was used to screen predictors for distinguishing benign and malignant nodules and high-risk predictors for recurrent invasive adenocarcinoma, and a diagnostic model was established and its performance evaluated. The diagnostic efficacy of the AI system was judged according to pathological results. Results A total of 594 patients with lung nodules were included, including 202 males and 392 females, with an average age of (58.75±11.55) years. Volume, average CT value, and 3D maximum diameter of non-solid nodules were independent predictors of malignant nodules, with thresholds of 287.4 mm3, −491 HU, and 12.0 mm, respectively. The area under the curve (AUC) for diagnostic efficacy was ranked from high to low as combined model (0.802), volume (0.783), average CT value (0.749), and 3D maximum diameter (0.714). The average CT value and 3D long diameter of solid nodules were independent predictors of malignant nodules, with thresholds of −81 HU and 17.5 mm, respectively, and AUC values of 0.874 and 0.686, respectively, with the combined prediction AUC of 0.957. The mass of cystic nodules was an independent predictor of malignancy when the mass>180.7 mg. Independent predictors of high recurrence risk of invasive adenocarcinoma in non-solid nodules were consolidation-tumor ratio (CTR), average CT value, 3D long diameter, and volume, with thresholds of 0.14, −386 HU, 15.6 mm, and 1018.9 mm3, respectively, and diagnostic efficacy was ranked from high to low as combined model (0.788), 3D long diameter (0.735), volume (0.725), average CT value (0.720), and CTR (0.697). The accuracy of AI in predicting benign and malignant target nodules was 87.4%, with positive predictive value of 96.6% and negative predictive value of 58.9%. Conclusion In clinical decision-making for lung nodules ≤2 cm, AI assisted diagnosis systems have high application value.

OBJECTIVE: To investigate the relationship between serum levels of fibroblast growth factor-23 (FGF-23), heparanase (HPSE) and early renal impairment (RI) in patients with multiple myeloma (MM). METHODS: A retrospective analysis was conducted on the clinical data of 125 MM patients who were initially diagnosed in the Department of Hematology of the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology from June 2020 to June 2023. The patients were divided into RI group (>176.80 μmol/L) and non-RI group (≤176.80 μmol/L) based on their serum creatinine levels when diagnosed. The baseline data and laboratory indexes of the two groups were compared. The relationship between serum FGF-23, HPSE and early RI in MM patients was analyzed. RESULTS: Among 125 newly diagnosed MM patients, 33 cases developed early RI, accounting for 26.40%. The proportion of light chain type, blood urea nitrogen (BUN), blood uric acid, lactate dehydrogenase, FGF-23, and HPSE levels in RI group were higher than those in non-RI group (all P <0.05). There was no statistical significant difference in other data between the two groups (P >0.05). Multivariate logistic regression analysis showed that BUN, FGF-23 and HPSE were associated with early RI in MM patients (all P <0.05). The serum FGF-23 level was divided into Q1-Q4 groups by quartile, and the serum HPSE level was divided into q1-q4 groups. The correlation analysis showed that with the increase of serum FGF-23 and HPSE levels, the incidence of early RI increased (r =0.668, 0.592). Furthermore, logistic regression analysis showed that after controlling for confounding factors, elevated levels of serum FGF-23 and HPSE were still influencing factors for early RI in MM patients (OR>1, P <0.05). According to Pearson's linear correlation test, there was a positive correlation between serum FGF-23 level and HPSE level (r =0.373). CONCLUSION There is a certain correlation between serum levels of FGF-23, HPSE and early RI in MM patients, and the incidence of early RI is higher in patients with abnormally high levels of both.
Humans ; Multiple Myeloma/complications* ; Fibroblast Growth Factor-23 ; Retrospective Studies ; Fibroblast Growth Factors/blood* ; Glucuronidase/blood* ; Male ; Female ; Middle Aged ; Renal Insufficiency/blood* ; Aged