Estimated Urinary Flow Rate and Contrast-Associated Acute Kidney Injury Risk: The PRESERVE (Prevention of Serious Adverse Events Following Angiography) Trial

Objectives: To evaluate urinary symptoms and quality of life in patient with BPH before and after TURP. To determine the impact of TURP on the urinary symptoms (IPSS) and peak urinary flow rate. Methods: This study is prospective study carried out between 2010 and 2011 in the department of Urology, National Institute of Kidney Diseases & Urology. Total 102 cases were selected purposively according to selection criteria. Each patient was observed and followed up at 8 weeks (1st visit), 16 weeks (2nd visit) 24 weeks (3rd visit) after transurethral resection of prostate (TURP). IPSS score, QOL score also recorded and uroflowmetry was done to see the peak urinary flow rate (Qmax) of urine and voiding time. USG was done to see post voidal residual urine volume and DRE also done in selected cases. Data was complied and statistical analysis were done using computer based software, Statistical Package for Social Science (SPSS), using paired ‘t’ test. A P value <0.05 was taken as significance. Results: Before TURP, IPSS range 17-25 and mean 21.61+2.43, after TURP, range 0-7 and mean 4.27+1.71). Hence a significant improvement of IPSS was found from 2 months to 6 months follow up after TURP. The change was tested using “paired student ‘t’ test”. Before TURP Qmax range 7-12.2 and mean was 9.96+1.69, which became range 18-25 and mean was 22.61+2.28 after TURP and therefore change of mean Qmax was 12.64+2.69. The change was tested using “paired student ‘t’ test”. The change was found significant (P<0.001). Conclusion: Transurethral resection of prostate resolves obstructive symptoms, rapid improvement of urinary flow rate Bangladesh Journal of Urology, Vol. 16, No. 1, Jan 2013 p.11-15

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Neonatal acute kidney injury risk stratification score: STARZ study

Pediatric Research ◽

10.1038/s41390-021-01573-9 ◽

2021 ◽

Author(s):

Sanjay Wazir ◽

Sidharth Kumar Sethi ◽

Gopal Agarwal ◽

Abhishek Tibrewal ◽

Rohan Dhir ◽

...

Keyword(s):

Acute Kidney Injury ◽

Risk Stratification ◽

Injury Risk ◽

Kidney Injury ◽

Risk Stratification Score

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Using kinetic eGFR to identify acute kidney injury risk in children undergoing cardiac transplantation

Pediatric Research ◽

10.1038/s41390-020-01307-3 ◽

2021 ◽

Author(s):

Minnie N. Dasgupta ◽

Maria E. Montez-Rath ◽

Seth A. Hollander ◽

Scott M. Sutherland

Keyword(s):

Acute Kidney Injury ◽

Cardiac Transplantation ◽

Injury Risk ◽

Kidney Injury

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Variability of Urinary Creatinine in Healthy Individuals

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18063166 ◽

2021 ◽

Vol 18 (6) ◽

pp. 3166

Author(s):

Gerd Sallsten ◽

Lars Barregard

Keyword(s):

Flow Rate ◽

Excretion Rate ◽

Time Of Day ◽

Urinary Flow Rate ◽

Urinary Flow ◽

Diurnal Variability ◽

Creatinine Excretion ◽

Blood Samples ◽

Urinary Creatinine ◽

Creatinine Excretion Rate

Many urinary biomarkers are adjusted for dilution using creatinine or specific gravity. The aim was to evaluate the variability of creatinine excretion, in 24 h and spot samples, and to describe an openly available variability biobank. Urine and blood samples were collected from 60 healthy non-smoking adults, 29 men and 31 women. All urine was collected at six time points during two 24 h periods. Blood samples were also collected twice and stored frozen. Analyses of creatinine in urine was performed in fresh urine using an enzymatic method. For creatinine in urine, the intra-class correlation (ICC) was calculated for 24 h urine and spot samples. Diurnal variability was examined, as well as association with urinary flow rate. The creatinine excretion rate was lowest in overnight samples and relatively constant in the other five samples. The creatinine excretion rate in each individual was positively correlated with urinary flow rate. The creatinine concentration was highest in the overnight sample and at 09:30. For 24 h samples the ICC was 0.64, for overnight samples it was 0.5, and for all spot samples, it was much lower. The ICC for urinary creatinine depends on the time of day of sampling. Frozen samples from this variability biobank are open for researchers examining normal variability of their favorite biomarker(s).

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Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study

BMC Nephrology ◽

10.1186/s12882-021-02238-9 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Wen En Joseph Wong ◽

Siew Pang Chan ◽

Juin Keith Yong ◽

Yen Yu Sherlyn Tham ◽

Jie Rui Gerald Lim ◽

...

Keyword(s):

Acute Kidney Injury ◽

High Risk ◽

Hospital Mortality ◽

Structural Equation Model ◽

Structural Equation ◽

Injury Risk ◽

Kidney Injury ◽

Equation Model ◽

Surgical Icu ◽

One Year

Abstract Background Acute kidney injury is common in the surgical intensive care unit (ICU). It is associated with poor patient outcomes and high healthcare resource usage. This study’s primary objective is to help identify which ICU patients are at high risk for acute kidney injury. Its secondary objective is to examine the effect of acute kidney injury on a patient’s prognosis during and after the ICU admission. Methods A retrospective cohort of patients admitted to a Singaporean surgical ICU between 2015 to 2017 was collated. Patients undergoing chronic dialysis were excluded. The outcomes were occurrence of ICU acute kidney injury, hospital mortality and one-year mortality. Predictors were identified using decision tree algorithms. Confirmatory analysis was performed using a generalized structural equation model. Results A total of 201/940 (21.4%) patients suffered acute kidney injury in the ICU. Low ICU haemoglobin levels, low ICU bicarbonate levels, ICU sepsis, low pre-ICU estimated glomerular filtration rate (eGFR) and congestive heart failure was associated with the occurrence of ICU acute kidney injury. Acute kidney injury, together with old age (> 70 years), and low pre-ICU eGFR, was associated with hospital mortality, and one-year mortality. ICU haemoglobin level was discretized into 3 risk categories for acute kidney injury: high risk (haemoglobin ≤9.7 g/dL), moderate risk (haemoglobin between 9.8–12 g/dL), and low risk (haemoglobin > 12 g/dL). Conclusion The occurrence of acute kidney injury is common in the surgical ICU. It is associated with a higher risk for hospital and one-year mortality. These results, in particular the identified haemoglobin thresholds, are relevant for stratifying a patient’s acute kidney injury risk.

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MEASUREMENT OF URINARY FLOW RATE USING ULTRASOUND IN YOUNG BOYS AND INFANTS

The Journal of Urology ◽

10.1016/s0022-5347(05)65920-4 ◽

2001 ◽

Vol 166 (3) ◽

pp. 1058-1061 ◽

Cited By ~ 10

Author(s):

KATJA P. WOLFFENBUTTEL ◽

DIRK J. KOK ◽

RON van MASTRIGT ◽

ESTHER van den BERG ◽

RIEN J.M. NIJMAN

Keyword(s):

Flow Rate ◽

Urinary Flow Rate ◽

Urinary Flow

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Validation of the STARZ neonatal acute kidney injury risk stratification score

Pediatric Nephrology ◽

10.1007/s00467-021-05369-1 ◽

2022 ◽

Author(s):

Sidharth Kumar Sethi ◽

Rupesh Raina ◽

Abhyuday Rana ◽

Gopal Agrawal ◽

Abhishek Tibrewal ◽

...

Keyword(s):

Acute Kidney Injury ◽

Risk Stratification ◽

Injury Risk ◽

Kidney Injury ◽

Risk Stratification Score

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Cochrane meta-analysis: teicoplanin versus vancomycin for proven or suspected infection

Einstein (São Paulo) ◽

10.1590/s1679-45082011ao2020 ◽

2011 ◽

Vol 9 (3) ◽

pp. 265-282 ◽

Cited By ~ 2

Author(s):

Diogo Diniz Gomes Bugano ◽

Alexandre Biasi Cavalcanti ◽

Anderson Roman Goncalves ◽

Claudia Salvini de Almeida ◽

Eliézer Silva

Keyword(s):

Acute Kidney Injury ◽

Adverse Events ◽

Data Extraction ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Kidney Injury ◽

Serum Levels ◽

Suspected Infection ◽

Red Man Syndrome

ABSTRACT Objective: To compare efficacy and safety of vancomycin versus teicoplanin in patients with proven or suspected infection. Methods: Data Sources: Cochrane Renal Group's Specialized Register, CENTRAL, MEDLINE, EMBASE, nephrology textbooks and review articles. Inclusion criteria: Randomized controlled trials in any language comparing teicoplanin to vancomycin for patients with proven or suspected infection. Data extraction: Two authors independently evaluated methodological quality and extracted data. Study investigators were contacted for unpublished information. A random effect model was used to estimate the pooled risk ratio (RR) with 95% confidence interval (CI). Results: A total of 24 studies (2,610 patients) were included. The drugs had similar rates of clinical cure (RR: 1.03; 95%CI: 0.98-1.08), microbiological cure (RR: 0.98; 95%CI: 0.93-1.03) and mortality (RR: 1.02; 95%CI: 0.79-1.30). Teicoplanin had lower rates of skin rash (RR: 0.57; 95%CI: 0.35-0.92), red man syndrome (RR: 0.21; 95%CI: 0.08-0.59) and total adverse events (RR: 0.73; 95%CI: 0.53-1.00). Teicoplanin reduced the risk of nephrotoxicity (RR: 0.66; 95%CI: 0.48-0.90). This effect was consistent for patients receiving aminoglycosides (RR: 0.51; 95%CI: 0.30-0.88) or having vancomycin doses corrected by serum levels (RR: 0.22; 95%CI: 0.10-0.52). There were no cases of acute kidney injury needing dialysis. Limitations: Studies lacked a standardized definition for nephrotoxicity. Conclusions: Teicoplanin and vancomycin are equally effective; however the incidence of nephrotoxicity and other adverse events was lower with teicoplanin. It may be reasonable to consider teicoplanin for patients at higher risk for acute kidney injury.

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