| Literature DB >> 33020445 |
Shih-Hsiang Ou1,2,3, Ling-Ying Wu4, Hsin-Yu Chen1,2, Chien-Wei Huang1,2, Chih-Yang Hsu1,2, Chien-Liang Chen1,2, Kang-Ju Chou1,2, Hua-Chang Fang1,2, Po-Tsang Lee1,2.
Abstract
Ketamine-associated diseases have been increasing with the rise in ketamine abuse. Ketamine-associated uropathy is one of the most common complications. We investigated the effects of ketamine-associated uropathy on renal health and determined predictors of renal function decline in chronic ketamine abusers. This retrospective cohort study analyzed 51 patients (22 with ketamine-associated hydronephrosis and 29 with ketamine cystitis) from Kaohsiung Veterans General Hospital in Taiwan. Primary renal outcome was end-stage renal disease or estimated glomerular filtration rate decline >30% from baseline. Compared with the ketamine cystitis group, the hydronephrosis group had lower initial and final estimated glomerular filtration rates and higher alkaline phosphatase and gamma-glutamyl transferase levels (p < 0.05). Elevated cholestatic liver enzyme levels correlated with renal dysfunction in ketamine-associated uropathy. The hydronephrosis group had a higher proportion of patients reaching endpoints than the ketamine cystitis group (50% and 7%, respectively, p < 0.001). After adjusting for age, sex, and initial serum creatinine level, hydronephrosis remained an independent risk factor for renal function deterioration. Ketamine-associated hydronephrosis was a poor renal outcome and strong predictor of renal function decline in chronic ketamine abusers. Elevated cholestatic liver enzyme levels correlated with the severity of ketamine-associated uropathy. Ultrasonography screening of these high-risk groups and regular renal function follow-ups are necessary.Entities:
Keywords: hydronephrosis; ketamine-associated uropathy; renal function decline
Mesh:
Substances:
Year: 2020 PMID: 33020445 PMCID: PMC7579140 DOI: 10.3390/ijerph17197260
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Flow chart of participants in the cohort study.
Demographic differences between patients with hydronephrosis and cystitis.
| Parameter | All | Hydronephrosis | Cystitis | |
|---|---|---|---|---|
| Sex (male/female) | 14/37 | 5/17 | 9/20 | 0.510 |
| Age (years) | 35.3 ± 5.1 | 34.6 ± 4.1 | 35.9 ± 5.8 | 0.365 |
| Body height (cm) | 162.2 ± 6.8 | 161.3 ± 7.6 | 163 ± 6.2 | 0.380 |
| Body weight (kg) | 52.9 ± 13.3 | 50.1 ± 13 | 55.1 ± 13.3 | 0.192 |
| Body mass index (kg/m2) | 19.9 ± 3.9 | 19.1 ± 3.6 | 20.6 ± 4.6 | 0.182 |
| Systolic blood pressure (mmHg) | 130.9 ± 25.9 | 135 ± 30.5 | 127.8 ± 21.9 | 0.329 |
| Diastolic blood pressure (mmHg) | 84.6 ± 17.9 | 88.8 ± 19.4 | 80.5 ± 17.9 | 0.101 |
| Comorbidity | ||||
| Hypertension * | 3 (6) | 3 (14) | 0 | 0.040 |
| Type 2 DM | 2 (4) | 1 (5) | 1 (3) | 0.842 |
| Renal function | ||||
| Initial BUN * (mg/dL) | 18.8 ± 23 | 25.3 ± 29.4 | 10.7 ± 4.1 | 0.036 |
| Initial creatinine * (mg/dL) | 1.2 ± 1 | 1.6 ± 1.4 | 0.9 ± 0.4 | 0.041 |
| Initial eGFR ** (mL/min) | 83.5 ± 30 | 69.8 ± 34.5 | 93.9 ± 21.2 | 0.007 |
| Final BUN ** (mg/dL) | 32 ± 45.1 | 48.1 ± 55 | 11 ± 5.6 | 0.005 |
| Final creatinine ** (mg/dL) | 1.9 ± 2.6 | 3.2 ± 3.6 | 0.9 ± 0.3 | 0.007 |
| Final eGFR ** (mL/min) | 74.9 ± 38 | 48.5 ± 38.3 | 95 ± 22.5 | <0.001 |
| Renal outcome ** | 13 (25) | 11 (50) | 2 (7) | <0.001 |
| ESRD | 2 (4) | 2 (9) | 0 | |
| eGFR decline >30% | 11 (22) | 9 (41) | 2 (7) | |
| Follow-up duration (months) | 36.7 ± 33 | 36.6 ± 32.2 | 36.7 ± 34.1 | 0.985 |
| Liver function | ||||
| GOT (U/L) | 133.6 ± 142.4 | 155.3 ± 137.2 | 117.2 ± 146.6 | 0.359 |
| GPT (U/L) | 172.8 ± 130 | 187.4 ± 98.7 | 162.2 ± 149.5 | 0.504 |
| ALP ** (U/L) | 499.1 ± 696.3 | 961.2 ± 870.6 | 152.5 ± 98.7 | <0.001 |
| GGT ** (U/L) | 873.3 ± 802.3 | 1280 ± 890.3 | 443.9 ± 379 | 0.001 |
| Total bilirubin (mg/dL) | 1.2 ± 1.5 | 1.5 ± 1.6 | 1 ± 1.4 | 0.208 |
Values are expressed as mean ± standard deviation or number (%). * p < 0.05; ** p < 0.01. ALP, alkaline phosphatase; BUN, blood urea nitrogen; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate; ESRD, end-stage renal disease; GGT, gamma-glutamyl transferase; GOT, glutamic oxaloacetic transaminase; GPT, glutamic pyruvic transaminase.
Correlation analysis between renal function and liver function profile.
| Parameter | Initial eGFR | Worse eGFR | Final eGFR | |||
|---|---|---|---|---|---|---|
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| GOT | −0.006 | 0.968 | −0.275 | 0.055 | −0.318 | 0.026 |
| GPT | −0.039 | 0.785 | −0.214 | 0.135 | −0.220 | 0.125 |
| ALP | −0.312 | 0.029 | −0.698 | <0.001 | −0.580 | <0.001 |
| GGT | −0.414 | 0.011 | −0.668 | <0.001 | −0.540 | 0.001 |
represents-Pearson correlation coefficient. ALP, alkaline phosphatase; eGFR, estimated glomerular filtration rate; GGT, gamma-glutamyl transferase; GOT, glutamic oxaloacetic transaminase; GPT, glutamic pyruvic transaminase.
Figure 2Changes in renal function in three patients with ketamine-associated hydronephrosis. There is an unavoidable deterioration of renal function following repeated recovery from urinary tract obstruction and control of infection. (A) A 29-year-old woman had been repeatedly hospitalized due to recurrent episodes of urinary tract infection and hydronephrosis. She was effectively treated with appropriate antibiotics and insertion of double-J stents during each episode. (B) A 27-year-old woman underwent regular double-J stent exchanges every 6 months. (C) A 24-year-old man was frequently admitted due to recurrent episodes of hydronephrosis and acute kidney injury, and was subjected to double-J stent exchange or percutaneous nephrostomy to reduce the obstruction each time. A thick arrow represents double-J stent intervention, a thin arrow depicts percutaneous nephrostomy. eGFR, estimated glomerular filtration rate.
Figure 3Progression of ketamine uropathy by hydronephrosis status. The Kaplan–Meier curves show the cumulative probability of reaching the renal endpoint of a 30% decline in the glomerular filtration rate or progression to end-stage renal disease among patients with ketamine uropathy, stratified according to hydronephrosis status.
Multivariate analysis of risk factors associated with renal outcome among ketamine uropathy patients using a Cox proportional hazards model.
| Parameter | Hazard Ratio | 95% CI | |
|---|---|---|---|
| Hydronephrosis * | 5.325 | 1.128–25.137 | 0.035 |
| Age | 0.923 | 0.790−1.077 | 0.309 |
| Sex | 1.469 | 0.290−7.431 | 0.642 |
| BMI | 0.821 | 0.635−1.061 | 0.132 |
| Initial creatinine | 0.950 | 0.581−1.553 | 0.838 |
The regressions coefficients and 95% coefficient interval value are indicated. All models are adjustments for the covariates above including hydronephrosis, age, sex, body mass index (BMI), and initial creatinine. * p < 0.05. CI, confidence interval.