Abstract
Background: Current recommendations suggest that vancomycin dosing utilize actual rather than ideal body weight in obese patients. Thus, obese patients may be at greater risk for nephrotoxicity. The purpose of this study was to compare the incidence of nephrotoxicity in vancomycin-treated obese and lean patients at our institution, where unadjusted, actual body weight-based dosing (capped at 2 g per dose twice daily) is used. We expected obese patients to experience a greater incidence of nephrotoxicity than lean patients.
Methods: This study examined a retrospective cohort of patients treated with vancomycin for gram-positive or mixed infections in our facility from 2005–2009 who were not receiving hemodialysis at the time of admission. Patients were stratified by body mass index (BMI; obese ≥30 kg/m2 vs. lean <30 kg/m2). Relative risk (RR), 95% confidence intervals (CIs), and p values were computed using a generalized estimating equation to accommodate a correlated data structure corresponding to multiple episodes of infection per individual. Multivariable analysis was performed.
Results: A total of 530 patients (207 obese; 323 lean) with 1,007 episodes of infection were treated with vancomycin. Patient demographics, co-morbidities, sites of infection, and infecting organisms were similar in the two groups. Female gender (p=0.042), diabetes mellitus (DM) (p=0.018), and hypertension (HTN) (p=0.0009) were more often associated with obesity, whereas allografts (p=0.022) and peripheral vascular disease (p=0.036) were more often present in lean patients. The Acute Physiology and Chronic Health Evaluation II score >21 was the only variable associated with nephrotoxicity (p=0.039). After adjusting for statistically significant variables, obesity was found not to be associated with a greater risk of nephrotoxicity (RR=0.98; 95% CI=0.93–1.04; p=0.59).
Conclusion: No difference in nephrotoxicity was observed between lean and obese patients treated with vancomycin at our institution.
Vancomycin was originally introduced in the mid-1950s as a combatant to penicillin-resistant staphylococcal infections [1]. Because of early manufacturing impurities believed to contribute to a multitude of adverse effects, including nephrotoxicity, the drug was quickly dubbed “Mississippi mud” [2,3]. These impurities have since been eliminated, and current nephrotoxic associations may be attributable to misuse of the drug outside of recommended guidelines [4,5].
More than one-third of American adults are obese (i.e., have a body mass index [BMI] >30 kg/m2] [6,7]. Obesity has been linked to diabetes mellitus (DM), hypertension (HTN), and dyslipidemia (i.e., metabolic syndrome) [8–10]. Diabetes mellitus and HTN are associated with nephrotoxicity; however, obesity also may play a unique role through lipid-induced nephropathy [11,12].
Current recommendations suggest vancomycin dosing utilize actual rather than ideal body weight in obese patients because of the accelerated renal clearance in this population [13–20]. Additionally, an increase in multi-drug-resistant bacteria and poor penetrance into certain tissues (e.g., lung) has resulted in greater vancomycin therapeutic ranges [21]. Thus, obese patients may be at greater risk for nephrotoxicity. The purpose of this study was to compare the incidence of nephrotoxicity in vancomycin-treated obese and lean patients at our institution, where unadjusted, actual body weight-based dosing is used. We hypothesized that obese patients would experience a greater incidence of nephrotoxicity than lean patients.
Patients and Methods
Study design
Institutional Review Board approval was obtained prior to data analysis. Details of the database and methodology have been described and are summarized below [5].
This was a retrospective analysis of a prospectively maintained database of all surgical patients (e.g., general, abdominal organ transplant, and trauma) admitted to a level I trauma and tertiary-care center from 1996 to 2012 and treated for sepsis. For the purposes of this study, we queried the database for all patients treated with vancomycin from December 6, 2005–December 4, 2009; body mass index (BMI) data were unobtainable for dates prior to this. Patients receiving hemodialysis prior to vancomycin initiation were excluded. Included patients were then stratified by BMI (i.e., BMI ≥30 kg/m2 vs. <30 kg/m2). Demographics and co-morbidities, sites of infection, causative organisms, and outcomes were compared for the two groups.
Database
Patient data were collected prospectively every other day by medical chart and laboratory review and patient interview and examination. Unique episodes of infection were identified for each patient and classified as separate if positive cultures were present more than 72 h apart. Sites of infection, antibiotic therapy and duration, and organisms determined by culture were recorded for each episode of infection.
Patients
Gender, age, race (patient-defined), solid organ transplant, trauma, DM, HTN, hyperlipidemia (HLD), cardiovascular disease, peripheral vascular disease (PVD), pulmonary disease, ventilator dependence, renal insufficiency (RI), initial creatinine concentration, initial estimated glomerular filtration rate (eGFR), hepatic insufficiency, malignant disease, chronic steroid use, prior transfusion during the same hospitalization, nosocomial infection, patient location at the time of infection, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and concomitant treatment with purported nephrotoxic antibiotics (i.e., aminoglycosides, amphotericin B, and piperacillin-tazobactam) were evaluated at the time of the initial infectious episode. New-onset or change in ventilator dependence, RI, HD, transfusion, patient location, APACHE II score, and concomitant treatment with purported nephrotoxic antibiotics were measured at the time of each subsequent infectious episode. Similarly, sites of infection and the organisms cultured were recorded at the time of each infectious episode. Outcomes included the total number of infectious episodes treated with vancomycin, the total number of antibiotics used per infectious episode, the duration of vancomycin treatment per episode, the maximum vancomycin trough concentration per episode, maximum creatinine concentration during vancomycin treatment per episode, final creatinine concentration after vancomycin treatment per episode, change in creatinine concentration during vancomycin treatment (i.e., maximum creatinine – initial creatinine) and after vancomycin treatment (i.e., final creatinine – initial creatinine), lowest eGFR during vancomycin treatment per episode, final eGFR after vancomycin treatment per episode, nephrotoxicity per episode, new-onset hemodialysis during vancomycin treatment, hospital length of stay (HLOS), and death. Patients were followed until death or hospital discharge.
Setting
As previously mentioned, the University of Virginia Health System is a level I trauma and tertiary-care center. In general, our pharmacy department doses vancomycin on the basis of total body weight (15 mg/kg every 12 h for patients with normal renal function) and estimated renal function. However, the total initial empiric dose is capped at around 1,750–2,000 mg/dose. A trough is measured prior to the fourth dose, and the regimen is adjusted to achieve a trough concentration of 10–20 mcg/mL (10–15 mcg/mL for less severe infections and 15–20 mcg/mL for methicillin-resistant Staphylococcus aureus [MRSA], osteomyelitis, endocarditis, meningitis, sepsis, and other severe infections).
Definitions
The infection criteria were those of the U.S. Centers for Disease Control and Prevention [22]. Solid organ transplant was defined as kidney, liver, pancreas, heart, lung, kidney/pancreas, liver/pancreas, or small bowel transplantation. Pulmonary disease was defined as active treatment for lung disease being given prior to hospital admission. Renal insufficiency was defined as a serum creatinine concentration ≥2.0 mg/dL at time of an infectious episode. Patient location at time of an infectious episode was defined as home, hospital ward, intensive care unit (ICU), or other. Initial creatinine concentration and eGFR were recorded immediately prior to vancomycin initiation per infectious episode. Other co-morbidities were defined by chart documentation, medication history, or patient examination. Vancomycin trough concentrations were defined as the greatest trough concentration documented in the patient's chart during the treatment period. Nephrotoxicity was defined as a 0.5 mg/dL increase in the serum creatinine concentration, a 50% increase in baseline serum creatinine concentration, or a 50% decrease in the baseline creatinine clearance [23–26]. Endpoints of vancomycin therapy included culture-proved resistance or insensitivity, adequate treatment duration as defined by unit guidelines and specific to the site of infection (i.e., lung [8–14 d], abdomen [5–7 d], vascular catheter [5 d], urine [5–7 d], skin and skin structure (until resolution of surrounding cellulitis), and blood stream [10–14 d]), or death. Uncomplicated blood stream infections involving S. aureus and a treatable focus were treated for 14 d following culture-proved clearance. Complicated blood stream infections involving S. aureus (e.g., infected endovascular grafts, endocardial vegetation) were treated for 4–6 wks after culture-proved clearance. Death was defined as that from any cause after infection diagnosis while the patient was hospitalized.
Statistical analysis
Demographics and co-morbidities, infection sites, infection organisms, and outcomes were compared in the obese and lean groups. Relative risk (RR), 95% confidence intervals (CI), and p values were computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber White “sandwich variance” estimates) to accommodate a correlated data structure corresponding to multiple episodes of infection per individual [27,28]. Variables deemed statistically significant (p<0.05) for either obesity or nephrotoxicity, among the demographics and co-morbidities, infection sites, and infection-related organisms, were included in the multivariable log-binomial regression model. A subset analysis evaluating nephrotoxic risk assigned to vancomycin trough concentration and stratified by obesity also was performed. Analysis was performed using SAS Version 9.3© (SAS Institute, Cary, NC) programming software. Statistical significance was defined as a p value of <0.05.
Results
A total of 530 patients with 1,007 episodes of infection were treated with vancomycin from December 6, 2005–December 4, 2009. Of these, 207 patients with 389 episodes of infection were obese. On average, each obese patient experienced 1.8±1.3 episodes of infection that were treated with vancomycin, whereas each lean patient experienced 1.8±1.1 episodes of infection treated with vancomycin (p=0.62). Additionally, each obese patient was treated on average with 3.5±1.4 antibiotics (including vancomycin) per infectious episode, whereas each lean patient was treated with 3.6±1.4 antibiotics (including vancomycin) per infectious episode (p=0.71).
Demographics and co-morbidities stratified by obesity and each variable's association with obesity and nephrotoxicity are listed in Table 1. Female gender, DM, and HTN were more often associated with obesity, whereas transplant and PVD were more often associated with lean patients. The APACHE II score (>21) was the only variable associated with nephrotoxicity. Of note, concomitant treatment with other purportedly nephrotoxic antibiotics (i.e., aminoglycosides, amphotericin B, and piperacillin-tazobactam) was not associated with nephrotoxicity.
Table 1.
Demographics and Co-Morbiditiesξ Stratified by Obesity and Unadjusted Log-Binomial Regression Analysis of Obesity and Nephrotoxicity
| Demographics/Co-Morbidities | Lean n (%) | Obese n (%) | RR (95% CI); Pa,b(Obesity) | RR (95% CI); Pa,c(Nephrotoxicity) |
|---|---|---|---|---|
| No. of patients | 323 (61) | 207 (39) | – | – |
| No. of infectious episodes | 618 (61) | 389 (39) | – | – |
| Genderd | ||||
| Male | 415 (67) | 214 (55) | 1.0 ref | 1.0 ref |
| Female | 203 (33) | 175 (45) | 1.1 (1.002–1.1); 0.042 | 0.98 (0.93–1.03); 0.36 |
| Age (years) | ||||
| Mean±SD | 56±17 | 54±14 | 0.071 | |
| Median (IQR) | 55 (23) | 55 (21) | ||
| Q1 (≤45) | 84 (26) | 57 (28) | 1.0 ref | 1.0 ref |
| Q2 (46–55) | 75 (23) | 60 (29) | 1.1 (0.95–1.3); 0.17 | 1.03 (0.95–1.1); 0.52 |
| Q3 (56–67) | 75 (23) | 56 (27) | 1.1 (0.95–1.2); 0.32 | 1.04 (0.96–1.1); 0.34 |
| Q4 (>67) | 89 (28) | 34 (16) | 0.96 (0.85–1.1); 0.46 | 1.01 (0.93–1.1); 0.83 |
| Race | ||||
| White | 538 (87) | 332 (85) | 1.0 ref | 1.0 ref |
| Black | 67 (11) | 54 (14) | 1.04 (0.98–1.1); 0.22 | 0.95 (0.85–1.1); 0.36 |
| Other | 5 (1) | 1 (0) | 0.98 (0.89–1.1); 0.66 | 1.2 (0.92–1.6); 0.18 |
| Hispanic | 8 (1) | 2 (1) | 0.96 (0.86–1.1); 0.55 | 1.1 (0.91–1.4); 0.27 |
| Transplantd,e | ||||
| No | 472 (76) | 346 (89) | 1.0 ref | 1.0 ref |
| Yes | 146 (24) | 43 (11) | 0.94 (0.89–0.99); 0.022 | 1.1 (0.98–1.1); 0.13 |
| Trauma | ||||
| No | 488 (85) | 304 (87) | 1.0 ref | 1.0 ref |
| Yes | 83 (15) | 47 (13) | 0.99 (0.93–1.05); 0.67 | 0.94 (0.85–1.03); 0.20 |
| Diabetes mellitusd | ||||
| No | 501 (81) | 274 (70) | 1.0 ref | 1.0 ref |
| Yes | 117 (19) | 115 (30) | 1.1 (1.02–1.3); 0.018 | 1.04 (0.93–1.2); 0.49 |
| Hypertensiond | ||||
| No | 430 (70) | 189 (49) | 1.0 ref | 1.0 ref |
| Yes | 188 (30) | 200 (51) | 1.1 (1.02–1.1); 0.0009 | 1.1 (0.99–1.1); 0.13 |
| Hyperlipidemia | ||||
| No | 538 (87) | 325 (84) | 1.0 ref | 1.0 ref |
| Yes | 80 (13) | 64 (16) | 1.2 (0.99–1.4); 0.075 | 1.03 (0.94–1.1); 0.55 |
| Cardiovascular disease | ||||
| No | 464 (75) | 289 (74) | 1.0 ref | 1.0 ref |
| Yes | 154 (25) | 100 (26) | 1.1 (0.95–1.2); 0.22 | 1.001 (0.94–1.1); 0.98 |
| Peripheral vascular diseased | ||||
| No | 584 (95) | 377 (97) | 1.0 ref | 1.0 ref |
| Yes | 34 (6) | 12 (3) | 0.63 (0.41–0.97); 0.036 | 1.1 (0.91–1.2); 0.51 |
| Pulmonary disease | ||||
| No | 542 (88) | 318 (82) | 1.0 ref | 1.0 ref |
| Yes | 76 (12) | 71 (18) | 0.96 (0.84–1.1); 0.62 | 0.98 (0.90–1.1); 0.72 |
| Ventilator dependence | ||||
| No | 470 (76) | 292 (75) | 1.0 ref | 1.0 ref |
| Yes | 148 (24) | 97 (25) | 1.001 (0.99–1.01); 0.85 | 0.95 (0.86–1.05); 0.32 |
| Renal insufficiency | ||||
| No | 576 (93) | 362 (93) | 1.0 ref | 1.0 ref |
| Yes | 42 (7) | 27 (7) | 0.94 (0.82–1.1); 0.33 | 0.96 (0.82–1.1); 0.61 |
| Initial creatinine concentration (mg/dL) | ||||
| Mean±SD | 1.3±0.93 | 1.3±1.0 | 0.57 | |
| Median (IQR) | 1.0 (0.70) | 1.0 (0.70) | ||
| ≤1.0 | 333 (54) | 213 (55) | 1.0 ref | 1.0 ref |
| 1.1–1.5 | 137 (22) | 87 (22) | 1.01 (0.95–1.1); 0.76 | 0.99 (0.89–1.1); 0.78 |
| 1.6–2.0 | 61 (10) | 39 (10) | 1.01 (0.96–1.05); 0.80 | 0.998 (0.94–1.2); 0.98 |
| >2.0 | 87 (14) | 50 (13) | 0.99 (0.94–1.04); 0.63 | 1.020 (0.89–1.2); 0.79 |
| Initial eGFR (mL/min/1.73 m2) | ||||
| >60 | 388 (63) | 236 (61) | 1.0 ref | 1.0 ref |
| 31–60 | 145 (23) | 104 (27) | 1.01 (0.96–1.1); 0.64 | 0.97 (0.88–1.1); 0.61 |
| 15–30 | 73 (12) | 28 (7) | 0.99 (0.95–1.03); 0.53 | 1.1 (0.94–1.2); 0.30 |
| (<15 | 12 (2) | 21 (5) | 1.02 (0.96–1.1); 0.57 | 0.93 (0.72–1.2); 0.59 |
| Hepatic insufficiency | ||||
| No | 576 (93) | 376 (97) | 1.0 ref | 1.0 ref |
| Yes | 42 (7) | 13 (3) | 1.1 (0.93–1.2); 0.39 | 1.1 (0.88–1.3); 0.44 |
| Malignant disease | ||||
| No | 554 (90) | 329 (85) | 1.0 ref | 1.0 ref |
| Yes | 64 (10) | 60 (15) | 1.01 (0.98–1.04); 0.62 | 0.93 (0.80–1.1); 0.37 |
| Chronic steroid use | ||||
| No | 447 (72) | 334 (86) | 1.0 ref | 1.0 ref |
| Yes | 171 (28) | 55 (14) | 0.94 (0.83–1.1); 0.31 | 1.1 (0.99–1.2); 0.092 |
| Prior transfusion | ||||
| No | 372 (60) | 245 (63) | 1.0 ref | 1.0 ref |
| Yes | 246 (40) | 144 (37) | 0.99 (0.94–1.04); 0.60 | 0.99 (0.94–1.1); 0.84 |
| Nosocomial infection | ||||
| No | 177 (29) | 133 (34) | 1.0 ref | 1.0 ref |
| Yes | 441 (71) | 256 (66) | 0.98 (0.93–1.03); 0.41 | 1.01 (0.92–1.1); 0.91 |
| Patient location | ||||
| Home | 177 (29) | 131 (34) | 1.0 ref | 1.0 ref |
| Hospital ward | 172 (28) | 104 (27) | 1.004 (0.97–1.04); 0.81 | 1.003 (0.90–1.1); 0.96 |
| ICU | 219 (35) | 132 (34) | 0.99 (0.97–1.02); 0.64 | 0.999 (0.91–1.1); 0.99 |
| Other | 50 (8) | 22 (6) | 1.002 (0.88–1.1); 0.97 | 1.04 (0.92–1.2); 0.54 |
| APACHE II scored | ||||
| Mean±SD | 17±7.5 | 17±8.2 | 0.77 | |
| Median (IQR) | 16 (10) | 16 (10) | ||
| Q1 (≤11) | 172 (28) | 110 (28) | 1.0 ref | 1.0 ref |
| Q2 (12–16) | 140 (23) | 88 (23) | 0.99 (0.93–1.1); 0.82 | 0.96 (0.85–1.1); 0.50 |
| Q3 (17–21) | 153 (25) | 96 (25) | 1.02 (0.95–1.1); 0.65 | 0.96 (0.86–1.1); 0.50 |
| Q4 (>21) | 153 (25) | 95 (24) | 1.01 (0.95–1.1); 0.84 | 1.1 (1.006–1.2); 0.039 |
| Concomitant nephrotoxic abxf | ||||
| No | 248 (40) | 156 (40) | 1.0 ref | 1.0 ref |
| Yes | 370 (60) | 233 (60) | 0.99 (0.98–1.01); 0.46 | 1.01 (0.94–1.09); 0.75 |
To accommodate the correlated data structure corresponding to multiple episodes of infection per individual, the analysis of obesityb and nephrotoxicityc among episodes of infection was computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber-White “sandwich variance” estimates).
Variables included in the multivariable analysis.
Transplants (analyzed by patient) included 24 kidney, 58 liver, two pancreas, nine kidney/pancreas, two liver/kidney, and one small bowel.
Concomitant nephrotoxic antibiotics included aminoglycosides, amphotericin B, and piperacillin-tazobactam.
abx=antibiotics. APACHE=Acute Physiology and Chronic Health Evaluation; CI=confidence interval; eGFR=estimated glomerular filtration rate; ICU=intensive care unit; IQR=interquartile range; Q=quartile; RR=relative risk; SD=standard deviation.
Sites of infection stratified by obesity and each variable's association with obesity and nephrotoxicity are listed in Table 2. Sites of infection were not observed to be associated with obesity. Additionally, sites of infection were not associated with nephrotoxicity.
Table 2.
Sites of Infection (Variables/Infectious Episode) Stratified by Obesity and Unadjusted Log-Binomial Regression Analysis of Obesity and Nephrotoxicity
| Sites | Lean n (%) | Obese n (%) | RR (95% CI); Pa,b(Obesity) | RR (95% CI); Pa,c(Nephrotoxicity) |
|---|---|---|---|---|
| Number of patients | 323 (61) | 207 (39) | – | – |
| Number of infectious episodes | 618 (61) | 389 (39) | – | – |
| Central nervous system | ||||
| No | 617 (100) | 389 (100) | – | – |
| Yes | 1 (0) | 0 | ||
| Peritoneum | ||||
| No | 476 (77) | 293 (75) | 1.0 Referent | 1.0 Referent |
| Yes | 142 (23) | 96 (25) | 0.999 (0.98–1.01); 0.87 | 0.996 (0.95–1.04); 0.87 |
| Upper GI | ||||
| No | 615 (100) | 388 (100) | 1.0 Referent | 1.0 Referent |
| Yes | 3 (0) | 1 (0) | 1.0002 (0.99–1.01); 0.97 | 0.93 (0.77–1.1); 0.42 |
| Colon | ||||
| No | 584 (95) | 374 (96) | 1.0 Referent | 1.0 Referent |
| Yes | 34 (6) | 15 (4) | 0.995 (0.99–1.002); 0.16 | 1.1 (0.998–1.2); 0.058 |
| Lung | ||||
| No | 472 (76) | 311 (80) | 1.0 Referent | 1.0 Referent |
| Yes | 146 (24) | 78 (20) | 1.01 (0.99–1.03); 0.21 | 0.997 (0.96–1.04); 0.89 |
| Pleura | ||||
| No | 611 (99) | 387 (99) | 1.0 Referent | 1.0 Referent |
| Yes | 7 (1) | 2 (1) | 1.0001 (0.99–1.01); 0.98 | 0.90 (0.73–1.1); 0.30 |
| Skin/soft tissue | ||||
| No | 582 (94) | 354 (91) | 1.0 Referent | 1.0 Referent |
| Yes | 36 (6) | 35 (9) | 1.01 (0.996–1.02); 0.21 | 0.96 (0.89–1.03); 0.25 |
| Incision | ||||
| No | 558 (90) | 339 (87) | 1.0 Referent | 1.0 Referent |
| Yes | 60 (10) | 50 (13) | 0.99 (0.97–1.01); 0.44 | 0.9997 (0.95–1.1); 0.99 |
| Line | ||||
| No | 598 (97) | 377 (97) | 1.0 Referent | 1.0 Referent |
| Yes | 20 (3) | 12 (3) | 1.01 (0.99–1.03); 0.32 | 1.03 (0.95–1.1); 0.47 |
| Blood | ||||
| No | 519 (84) | 331 (85) | 1.0 Referent | 1.0 Referent |
| Yes | 99 (16) | 58 (15) | 1.002 (0.99–1.01); 0.67 | 0.98 (0.94–1.009); 0.16 |
| Urine | ||||
| No | 550 (89) | 350 (90) | 1.0 Referent | 1.0 Referent |
| Yes | 68 (11) | 39 (10) | 0.99 (0.97–1.01); 0.16 | 1.02 (0.99–1.1); 0.23 |
To accommodate a correlated data structure corresponding to multiple episodes of infection per individual, the analysis of obesityb and nephrotoxicityc among episodes of infection was computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber-White “sandwich variance” estimates).
CI=confidence interval; GI=gastrointestinal; RR=relative risk.
Culture-proved organisms stratified by patient obesity and each variable's association with obesity and nephrotoxicity are listed in Table 3. Organisms causing infection were not associated with obesity. However, Pseudomonas aeruginosa and vancomycin-resistant enterococcus (VRE) were protective against nephrotoxicity. Additionally, Escherichia coli-related infections trended toward a protective association, whereas Clostridium difficile-related infections trended toward a greater nephrotoxic association.
Table 3.
Organisms Stratified by Obesity and Unadjusted Log-Binomial Regression Analysis of Obesity and Nephrotoxicity
| Organism | Lean n (%) | Obese n (%) | RR (95% CI); Pa,b(Obesity) | RR (95% CI); Pa,b,c(Nephrotoxicity) |
|---|---|---|---|---|
| Number of patients | 323 (61) | 207 (39) | – | – |
| Number of infectious episodes | 618 (61) | 389 (39) | – | – |
| Fungal | 88 (14) | 62 (16) | 1.001 (0.98–1.02); 0.93 | 0.98 (0.92–1.05); 0.56 |
| Candida albicans | 39 (6) | 22 (6) | 0.996 (0.99–1.003); 0.24 | 0.94 (0.86–1.03); 0.19 |
| Candida glabrata | 35 (6) | 17 (4) | 1.02 (0.98–1.1); 0.41 | 1.04 (0.95–1.1); 0.42 |
| Gram-negative bacteria | 212 (34) | 151 (39) | 0.998 (0.98–1.01); 0.82 | 0.99 (0.94–1.05); 0.81 |
| Escherichia coli | 53 (9) | 45 (12) | 1.004 (0.998–1.01); 0.21 | 0.94 (0.88–1.01); 0.076 |
| Klebsiella pneumonia | 42 (7) | 24 (6) | 1.01 (0.98–1.04); 0.49 | 1.01 (0.90–1.1); 0.92 |
| Serratia spp. | 6 (1) | 9 (2) | 1.01 (0.99–1.03); 0.20 | 1.02 (0.72–1.4); 0.92 |
| Pseudomonas aeruginosad | 29 (5) | 26 (7) | 0.99 (0.95–1.02); 0.43 | 0.92 (0.86–0.98); 0.0060 |
| Enterobacter cloacae | 26 (4) | 15 (4) | 0.9996 (0.99–1.01); 0.93 | 1.03 (0.96–1.1); 0.40 |
| Gram-positive bacteria | 253 (41) | 140 (36) | 1.01 (0.99–1.02); 0.33 | 0.97 (0.93–1.02); 0.22 |
| MSSA | 45 (7) | 16 (4) | 1.02 (0.97–1.1); 0.46 | 0.98 (0.93–1.02); 0.33 |
| MRSA | 49 (8) | 30 (8) | 1.02 (0.98–1.1); 0.36 | 1.003 (0.92–1.1); 0.95 |
| CNS | 2 (0) | 3 (1) | 1.1 (0.95–1.3); 0.18 | 1.1 (0.88–1.5); 0.32 |
| Enterococcus faecalis | 34 (6) | 20 (5) | 0.998 (0.99–1.004); 0.43 | 0.9994 (0.93–1.1); 0.99 |
| Enterococcus faecium | 12 (2) | 4 (1) | 0.998 (0.99–1.01); 0.61 | 1.1 (0.93–1.3); 0.29 |
| VREd | 39 (6) | 17 (4) | 1.01 (0.99–1.03); 0.59 | 0.90 (0.82–0.98); 0.015 |
| Streptococcus spp. | 34 (6) | 22 (6) | 1.003 (0.99–1.02); 0.71 | 1.1 (0.95–1.2); 0.30 |
| Anaerobic bacteria | 65 (11) | 39 (10) | 0.996 (0.96–1.03); 0.81 | 1.03 (0.97–1.1); 0.33 |
| Clostridium difficile | 33 (5) | 15 (4) | 0.996 (0.99–1.002); 0.21 | 1.1 (0.9994–1.2); 0.052 |
To accommodate a correlated data structure corresponding to multiple episodes of infection per individual, the analysis of obesity1 and nephrotoxicity2 among episodes of infection was computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber-White “sandwich variance” estimates).
1.0 Referent is taken to be the absence of the variable being analyzed.
Variables included in the multivariable analysis.
CI=confidence interval; CNS=coagulase-negative staphylococci; MSSA=methicillin-sensitive Staphylococcus aureus; MRSA=methicillin-resistant S. aureus; RR=relative risk; VRE=vancomycin-resistant enterococci.
Patient outcomes stratified by obesity are listed in Table 4. Patients were treated with vancomycin for similar durations (obese 8.4±7.6 days vs. lean 9.1±9.6 days; p=0.94) and were hospitalized for a similar period of time (obese 24±25 days vs. lean 24±32 days; p=0.64) in the two groups. No difference between groups was observed regarding vancomycin trough concentrations (p=0.80), change in serum creatinine concentration (maximum – initial; p=0.59; final – initial; p=0.37), nephrotoxicity (p=0.92), new-onset hemodialysis (p=0.45), or death (p=0.77) during vancomycin treatment. Furthermore, a subset analysis evaluating nephrotoxic risk and vancomycin trough concentration revealed that only supratherapeutic troughs (>20 mcg/mL) approached a significant association with nephrotoxicity (p=0.054). After adjusting for statistically significant variables in Tables 1–3 (i.e., gender, transplant, DM, HTN, PVD, APACHE II score, Pseudomonas aeruginosa, and VRE), obesity was not associated with a greater risk for nephrotoxicity than was lean status (RR=0.93; 95% CI=0.93–1.04; p=0.59) (conclusion not shown in the tables).
Table 4.
Patient Outcomes per Infection Episode after Vancomycin Treatment Stratified by Obesity
| Outcome | Lean n (%) | Obese n (%) | P† |
|---|---|---|---|
| Number of patients | 323 (61) | 207 (39) | – |
| Number of infectious episodes | 618 (61) | 389 (39) | |
| HLOS (days) | |||
| Mean±SD | 24±32 | 24±25 | 0.64 |
| Median (IQR) | 15 (21) | 16 (25) | |
| Duration of vancomycin (d) | |||
| Mean±SD | 9.1±9.6 | 8.4±7.6 | 0.94 |
| Median (IQR) | 6.0 (6.0) | 6.0 (6.0) | |
| Vancomycin trough (mcg/mL) | |||
| Mean±SD | 18±11 | 17±10 | 0.80 |
| Median (IQR) | 16 (13) | 17 (13) | |
| >20 | 123 (21) | 78 (21) | 0.71 |
| 16–20 | 51 (9) | 44 (12) | 0.65 |
| 11–15 | 54 (9) | 19 (5) | 0.84 |
| ≤10 | 369 (62) | 223 (61) | 1.0 ref |
| Max creat during tx (mg/dL) | |||
| Mean±SD | 1.6±1.2 | 1.6±1.3 | 0.73 |
| Median (IQR) | 1.2 (1.1) | 1.2 (0.9) | |
| Final creat after tx (mg/dL) | |||
| Mean±SD | 1.2±0.91 | 1.2±0.85 | 0.36 |
| Median (IQR) | 0.90 (0.70) | 1.0 (0.50) | |
| Change in creat (max – initial) (mg/dL) | |||
| Mean±SD | 0.30±0.53 | 0.29±0.56 | 0.59 |
| Median (IQR) | 0.10 (0.40) | 0.10 (0.30) | |
| Change in creat (final - initial) (mg/dL) | |||
| Mean±SD | −0.072±0.59 | −0.10±0.74 | 0.37 |
| Median (IQR) | 0.0 (0.30) | −0.10 (0.30) | |
| Lowest eGFR during tx (mL/min/1.73 m2) | |||
| >60 | 310 (50) | 190 (49) | 1.0 ref |
| 31–60 | 164 (27) | 128 (33) | 0.98 |
| 15–30 | 117 (19) | 41 (11) | 0.63 |
| <15 | 27 (4) | 30 (8) | 0.48 |
| Final eGFR after tx (mL/min/1.73 m2) | |||
| >60 | 419 (68) | 250 (64) | 1.0 ref |
| 31–60 | 129 (21) | 96 (25) | 0.44 |
| 15–30 | 53 (9) | 29 (7) | 0.71 |
| <15 | 17 (3) | 14 (4) | 0.61 |
| Nephrotoxicity | |||
| No | 475 (77) | 319 (82) | 1.0 ref |
| Yes | 140 (23) | 70 (18) | 0.92 |
| New-onset hemodialysis | |||
| No | 532 (86) | 351 (90) | 1.0 ref |
| Yes | 84 (14) | 37 (10) | 0.45 |
| Death | |||
| No | 531 (86) | 331 (85) | 1.0 ref |
| Yes | 87 (14) | 58 (15) | 0.77 |
To accommodate a correlated data structure corresponding to multiple episodes of infection per individual, the analysis of obesity among episodes of infection was computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber-White “sandwich variance” estimates).
abx=antibiotics; creat=creatinine; eGFR=estimated glomerular filtration rate; HLOS=hospital length of stay; IQR=interquartile range; Max=maximum; SD=standard deviation; tx=treatment.
Discussion
We present one of the largest cohorts published to date evaluating vancomycin, obesity, and nephrotoxicity [13–19,29–31]. Our study observed a 21% incidence of nephrotoxicity (obese=18% vs. lean=23%) among infectious episodes treated with vancomycin and a 12% incidence of new-onset hemodialysis (obese=10% vs. lean=14%). However, the mean creatinine and eGFR values measured at the completion of antibiotic therapy indicated that the nephrotoxicity had resolved for the most part. These results fall within previously reported nephrotoxicity ranges of 2.9%–43% among similar populations [15,25,29,32–36].
Vancomycin's nephrotoxicity is theorized to be secondary to oxidative stress and free-radical generation in the proximal renal tubule, resulting in cellular necrosis [23,25]. The degree of the effect may be enhanced by prolonged therapy (i.e., 7–14 d) or concomitant nephrotoxic risk factors (i.e., critical illness or the administration of radiopaque contrast agents or other nephrotoxic antibiotics) [23,25,36]. Although the difference was not statistically significant, lean patients experienced longer vancomycin treatment durations, had greater APACHE II scores, and were more often hospitalized in the ICU or recipients of blood transfusions than were obese patients. However, ICU location and prior blood transfusion were not associated with nephrotoxicity on univariable analysis. Additionally, concomitant treatment with other purported nephrotoxic antibiotics (i.e., aminoglycosides, amphotericin B, and piperacillin-tazobactam) was not associated with nephrotoxicity on univariable analysis. Furthermore, after adjusting for APACHE II scores, no difference was apparent in the nephrotoxicity incidence in the two groups. Our results are supported by previous studies that failed to find an association between co-morbidity, concomitant treatment with purported nephrotoxic agents, and vancomycin-induced nephrotoxicity [23,37].
Infection location has been associated with vancomycin-induced nephrotoxicity. For example, pulmonary penetrance may be poor when treating infections of the lung owing to the need for passive transport across two membrane barriers and lymphatic clearance [21,38,39]. This would necessitate higher doses of the drug to reach adequate target concentrations, potentially resulting in a greater incidence of nephrotoxicity. Although the difference was not statistically significant, lean patients in our study had a greater prevalence of lung infections. However, infections of the lung were not associated with nephrotoxicity on univariable analysis. Additional types of infection requiring greater vancomycin trough concentrations and associated with a greater risk of nephrotoxicity are meningitis, endocarditis, and osteomyelitis [23].
Pseudomonal, VRE, and E. coli-related infections were protective against nephrotoxicity on univariable analysis. Once sensitivity testing was completed, de-escalation of antimicrobial therapy would occur, thus minimizing any unnecessary potentially nephrotoxic exposure. Conversely, if microorganisms were determined to be susceptible to potentially nephrotoxic agents, a longer duration of treatment may be required, thereby increasing the risk of nephrotoxicity.
Current guidelines recommend treatment with vancomycin using doses of 15–20 mg/kg based on actual body weight, given every 8–12 h, in patients with normal renal function, thus maximizing the frequency of trough concentrations between 10 mg/L and 20 mg/L [4]. This range reduces the incidence of both nephrotoxicity and drug resistance [4]. Although the difference was not statistically significant, lean patients in our study showed slightly greater vancomycin trough concentrations than obese patients. However, both groups had trough concentrations within the recommended range. Additionally, using a cycling antibiotic protocol, our group previously compared 298 vancomycin-treated patients (571 infectious episodes) with 247 linezolid-treated patients (475 infectious episodes) [5], observing a similar nephrotoxic profile in the two groups when patients were treated to within the 10–20 mg/L trough range, even among critically ill patients with complex infections.
Lipid-induced nephrotoxicity was first described in the late 1970s and early 1980s [12,40]. Kuo et al. evaluated cephaloridine-induced nephrotoxicity in male Fischer 344 rats and female New Zealand White rabbits [40]. They observed an increase in lipid peroxidation specifically in renal cortical cells. Additionally, by removing selenium or vitamin E, known antioxidants, from the diet, lipid peroxidation was increased, along with nephrotoxicity. Although the pathophysiological link between dyslipidemia and nephrotoxicity remains poorly defined, recent studies continue to lend support to this theory [11,41–45]. The results suggest that glomerulosclerosis and tubulointerstitial lesions, together with accelerated atherosclerosis attributable to dyslipidemia, may be the contributory factor to the progression of renal insufficiency [11,42,44,45]. Additionally, adipose tissue is a source of inflammatory cytokines (e.g., tumor necrosis factor-α, interleukin-6, leptin, and C-reactive protein), which may potentiate oxidative stress at the renal tubular level [11,43–45]. Notably, DM, HTN, and dyslipidemia were more prevalent among obese patients in our study group; however, these variables were not associated with nephrotoxicity on univariable analysis.
Pharmacokinetic dosing is based on drug absorption, distribution, metabolism, and excretion [16]. Depending on the lipophilicity of the drug, obese patients would be expected to have a larger volume of distribution. Although vancomycin is considered to be hydrophilic, approximately 30% of adipose tissue is water [18]. Thus, an increase in adipose tissue, combined with an increase in protein mass, could bind vancomycin, thereby reducing the unbound, active drug concentration in the circulation. Additionally, obese patients experience a renal clearance increase secondary to higher cardiac output, blood flow, and blood volume. As previously mentioned, current recommendations suggest that vancomycin dosing utilize total body weight (TBW) [13–20]. In contrast, Reynolds et al. retrospectively compared an original vancomycin dosing protocol (vancomycin 15 mg/kg intravenously [IV] every 8–12 h) with a revised dosing protocol (i.e., 10 mg/kg IV every 12 h or 15 mg/kg every 24 h) in a cohort of 138 obese patients [29]. The authors concluded that the revised protocol improved the attainment of target trough concentrations with minimal nephrotoxicity compared with the original protocol. However, the timing of the first vancomycin trough measurement was not standardized in relation to the first vancomycin dose, and because of the low incidence of observed nephrotoxicity (i.e., four cases), alternative risk factors for nephrotoxicity could not be evaluated. Additionally, the revised protocol was associated with a significantly greater frequency of below-target trough concentrations than the original protocol. Lodise et al. retrospectively compared a standard vancomycin dose (i.e., <4 g/day), high vancomycin dose (i.e., ≥4 g/day), and linezolid in a series of 246 patients [33]. Those authors concluded that patients weighing more than 101.4 kg, patients taking ≥4 g/day of vancomycin, patients residing in the ICU, and patients with estimated creatinine clearance ≤86.6 mL/min had an independently greater nephrotoxicity rate, suggesting that a vancomycin ceiling exists. Although no difference was observed in the nephrotoxicity incidence in obese and lean patients using TBW and dosing at 15 mg/kg twice daily, our results may be explained by the fact that the vancomycin dose was capped at 1750–2000 mg twice daily. Thus, our patients never exceeded the 4 g/day threshold.
Recent strategies have begun to emerge regarding the role of antioxidants in the prevention of vancomycin-induced nephrotoxicity [46,47]. Ocak et al. divided 30 rats into six groups (control, vancomycin, vancomycin and caffeic acid phenethyl ester, vancomycin and vitamin C, vancomycin and vitamin E, and vancomycin and N-acetylcysteine) and compared the consequent degree of nephrotoxicity [47]. On histopathologic analysis, vitamin E was the most successful at reducing vancomycin-induced tubular damage. However, vitamin C, N-acetylcysteine, and caffeic acid phenethyl ester also were protective.
Strengths and Limitations
Our study is strengthened by its large sample and multivariable analysis. However, this study may be limited by its retrospective design, which may have contributed to both recall and selection bias. Although we did adjust for potential confounders, it is possible that other, unforeseen confounders impacted our results. For example, use of nephrotoxic contrast media was not captured in our database. Additionally, we did not evaluate vancomycin loading doses; nephrotoxic medications outside of aminoglycosides, amphotericin B, or piperacillin-tazobactam; fluid status, vasopressor use, the role of capping vancomycin doses on outcomes or toxicity rates; or cumulative infectious exposure in close proximity and how this may have impacted the degree of nephrotoxicity. As previously mentioned, obesity may hasten the progression of renal insufficiency. Our database captured patients on admission for treatment of sepsis. Thus, the initial creatinine and eGFR values are representative of those obtained immediately prior to treatment with vancomycin. Unfortunately, our database did not capture the creatinine and eGFR values prior to the onset of critical illness. Patients were followed until death or hospital discharge, and thus, we were unable to define acute kidney injury using the Risk Injury Failure Loss End-stage kidney disease (RIFLE) criteria for each patient given inadequate follow-up. Finally, external validity may be limited, given that this was a single-center study of septic surgical patients where a large percentage of infections are treated primarily by source control procedures rather than by antimicrobials alone.
Conclusion
No difference in nephrotoxicity was observed between lean and obese patients treated with vancomycin at our institution while using actual weight-based dosing capped at 2 g per dose given twice daily. Larger samples are needed to analyze this relation closely among “at-risk” subsets of this population. Additionally, future studies should be directed toward the evaluation of vancomycin loading doses; nephrotoxic medications beyond aminoglycosides, amphotericin B, and piperacillin-tazobactam; fluid status; vasopressor use; the role of capping vancomycin doses on outcomes or toxicity rates; and cumulative infectious exposure in close proximity and how these may have impacted the degree of nephrotoxicity.
Author Disclosure Statement
This work was funded in part by National Institutes of Health Grant 5T32AI078875-05 (issued to all authors except J.T.E., P.M.S., and S.A.H.). No additional potential conflicts of interest are declared.
References
- 1.Anderson RC, Worth HM, Harris PN, Chen KK. Vancomycin, a new antibiotic: IV. Pharmacol Toxicol Studies Antibiot Annu 1956:75–81 [PubMed] [Google Scholar]
- 2.Elting LS, Rubenstein EB, Kurtin D, et al. Mississippi mud in the 1990s: Risks and outcomes of vancomycin-associated toxicity in general oncology practice. Cancer 1998;83:2597–2607 [DOI] [PubMed] [Google Scholar]
- 3.Levine DP. Vancomycin: A history. Clin Infect Dis 2006;42(Suppl 1):S5–S12 [DOI] [PubMed] [Google Scholar]
- 4.Martin JH, Norris R, Barras M, et al. Therapeutic monitoring of vancomycin in adult patients: A consensus review of the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, and the Society of Infectious Diseases Pharmacists. Clin Biochemist Rev/Aust Assoc Clin Biochemists 2010;31:21–24 [PMC free article] [PubMed] [Google Scholar]
- 5.Davies SW, Guidry CA, Petroze RT, et al. Vancomycin and nephrotoxicity: Just another myth? J Trauma Acute Care Surg 2013;75:830–835 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Davies SW, Efird JT, Guidry CA, et al. Long-term diabetic response to gastric bypass. J Surg Res 2014;190:498–503 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of Obesity in the United States, 2009–2010. United States Department of Health and Human Services: Centers for Disease Control and Prevention. National Center for Health Statistics. Available at www.cdc.gov/nchs/data/databriefs/db82.pdf Accessed October/12/2013
- 8.Matsuda M, Shimomura I. Increased oxidative stress in obesity: Implications for metabolic syndrome, diabetes, hypertension, dyslipidemia, atherosclerosis, and cancer. Obesity Res Clin Pract 2013;7:e330–e341 [DOI] [PubMed] [Google Scholar]
- 9.Samson SL, Garber AJ. Metabolic syndrome. Endocrinol Metab Clin North Am 2014;43:1–23 [DOI] [PubMed] [Google Scholar]
- 10.Halpern A, Mancini MC, Magalhaes ME, et al. Metabolic syndrome, dyslipidemia, hypertension and type 2 diabetes in youth: From diagnosis to treatment. Diabetol Metab Synd 2010;2:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gyebi L, Soltani Z, Reisin E. Lipid nephrotoxicity: New concept for an old disease. Curr Hypertens Rep 2012;14:177–181 [DOI] [PubMed] [Google Scholar]
- 12.Moorhead JF, Chan MK, El-Nahas M, Varghese Z. Lipid nephrotoxicity in chronic progressive glomerular and tubulo-interstitial disease. Lancet 1982;2:1309–1311 [DOI] [PubMed] [Google Scholar]
- 13.Blouin RA, Bauer LA, Miller DD, et al. Vancomycin pharmacokinetics in normal and morbidly obese subjects. Antimicrob Agents Chemother 1982;21:575–580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bauer LA, Black DJ, Lill JS. Vancomycin dosing in morbidly obese patients. Eur J Clin Pharmacol 1998;54:621–625 [DOI] [PubMed] [Google Scholar]
- 15.Puzniak LA, Morrow LE, Huang DB, Barreto JN. Impact of weight on treatment efficacy and safety in complicated skin and skin structure infections and nosocomial pneumonia caused by methicillin-resistant Staphylococcus aureus. Clin Therap 2013;35:1557–1570 [DOI] [PubMed] [Google Scholar]
- 16.Janson B, Thursky K. Dosing of antibiotics in obesity. Curr Opin Infect Dis 2012;25:634–649 [DOI] [PubMed] [Google Scholar]
- 17.Miller M, Miller JL, Hagemann TM, et al. Vancomycin dosage in overweight and obese children. Am J Health-Syst Pharm 2011;68:2062–2068 [DOI] [PubMed] [Google Scholar]
- 18.Grace E. Altered vancomycin pharmacokinetics in obese and morbidly obese patients: What we have learned over the past 30 years. J Antimicrob Chemother 2012;67:1305–1310 [DOI] [PubMed] [Google Scholar]
- 19.Hall RG, 2nd, Payne KD, Bain AM, et al. Multicenter evaluation of vancomycin dosing: Emphasis on obesity. Am J Med 2008;121:515–518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Penzak SR, Gubbins PO, Rodvold KA, Hickerson SL. Therapeutic drug monitoring of vancomycin in a morbidly obese patient. Therap Drug Monitor 1998;20:261–265 [DOI] [PubMed] [Google Scholar]
- 21.Cano EL, Haque NZ, Welch VL, et al. Incidence of nephrotoxicity and association with vancomycin use in intensive care unit patients with pneumonia: Retrospective analysis of the IMPACT-HAP database. Clin Therap 2012;34:149–157 [DOI] [PubMed] [Google Scholar]
- 22.Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Cont 2008;36:309–332 [DOI] [PubMed] [Google Scholar]
- 23.Elyasi S, Khalili H, Dashti-Khavidaki S, Mohammadpour A. Vancomycin-induced nephrotoxicity: Mechanism, incidence, risk factors and special populations: A literature review. Eur J Clin Pharmacol 2012;68:1243–1255 [DOI] [PubMed] [Google Scholar]
- 24.Hazlewood KA, Brouse SD, Pitcher WD, Hall RG. Vancomycin-associated nephrotoxicity: Grave concern or death by character assassination? Am J Med 2010;123:182 e1–e7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wong-Beringer A, Joo J, Tse E, Beringer P. Vancomycin-associated nephrotoxicity: A critical appraisal of risk with high-dose therapy. Int J Antimicrob Agents 2011;37:95–101 [DOI] [PubMed] [Google Scholar]
- 26.Jeffres MN, Isakow W, Doherty JA, et al. A retrospective analysis of possible renal toxicity associated with vancomycin in patients with health care-associated methicillin-resistant Staphylococcus aureus pneumonia. Clin Therap 2007;29:1107–1115 [DOI] [PubMed] [Google Scholar]
- 27.Pan W. Akaike's information criterion in generalized estimating equations. Biometrics 2001;57:120–125 [DOI] [PubMed] [Google Scholar]
- 28.Huber PJ. (ed): The Behavior of Maximum Likelihood Estimates Under Nonstandard Conditions. Proc Fifth Berkeley Symp Math Stat Prob. Berkeley, CA: University of California Press; 1967 [Google Scholar]
- 29.Reynolds DC, Waite LH, Alexander DP, DeRyke CA. Performance of a vancomycin dosage regimen developed for obese patients. Am J Health-Syst Pharm 2012;69:944–950 [DOI] [PubMed] [Google Scholar]
- 30.Leong JV, Boro MS, Winter M. Determining vancomycin clearance in an overweight and obese population. Am J Health-Syst Pharmacy 2011;68:599–603 [DOI] [PubMed] [Google Scholar]
- 31.Moffett BS, Kim S, Edwards MS. Vancomycin dosing in obese pediatric patients. Clin Pediatr 2011;50:442–446 [DOI] [PubMed] [Google Scholar]
- 32.Aubron C, Corallo CE, Nunn MO, et al. Evaluation of the accuracy of a pharmacokinetic dosing program in predicting serum vancomycin concentrations in critically ill patients. Ann Pharmacother 2011;45:1193–1198 [DOI] [PubMed] [Google Scholar]
- 33.Lodise TP, Lomaestro B, Graves J, Drusano GL. Larger vancomycin doses (at least four grams per day) are associated with an increased incidence of nephrotoxicity. Antimicrob Agents Chemother 2008;52:1330–1336 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rybak MJ, Albrecht LM, Boike SC, Chandrasekar PH. Nephrotoxicity of vancomycin, alone and with an aminoglycoside. J Antimicrob Chemother 1990;25:679–687 [DOI] [PubMed] [Google Scholar]
- 35.Lodise TP, Patel N, Lomaestro BM, et al. Relationship between initial vancomycin concentration-time profile and nephrotoxicity among hospitalized patients. Clin Infect Dis 2009;49:507–514 [DOI] [PubMed] [Google Scholar]
- 36.van Hal SJ, Paterson DL, Lodise TP. Systematic review and meta-analysis of vancomycin-induced nephrotoxicity associated with dosing schedules that maintain troughs between 15 and 20 milligrams per liter. Antimicrob Agents Chemother 2013;57:734–744 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Downs NJ, Neihart RE, Dolezal JM, Hodges GR. Mild nephrotoxicity associated with vancomycin use. Arch Intern Med 1989;149:1777–1781 [PubMed] [Google Scholar]
- 38.Pletz MW, Burkhardt O, Welte T. Nosocomial methicillin-resistant Staphylococcus aureus (MRSA) pneumonia: Linezolid or vancomycin? Comparison of pharmacology and clinical efficacy. Eur J Med Research 2010;15:507–513 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Scheetz MH, Wunderink RG, Postelnick MJ, Noskin GA. Potential impact of vancomycin pulmonary distribution on treatment outcomes in patients with methicillin-resistant Staphylococcus aureus pneumonia. Pharmacotherapy 2006;26:539–550 [DOI] [PubMed] [Google Scholar]
- 40.Kuo CH, Maita K, Sleight SD, Hook JB. Lipid peroxidation: A possible mechanism of cephaloridine-induced nephrotoxicity. Toxicol Appl Pharmacol 1983;67:78–88 [DOI] [PubMed] [Google Scholar]
- 41.Attman PO, Samuelsson O, Alaupovic P. Lipoprotein metabolism and renal failure. Am J Kidney Dis 1993;21:573–592 [DOI] [PubMed] [Google Scholar]
- 42.Attman PO, Alaupovic P, Samuelsson O. Lipoprotein abnormalities as a risk factor for progressive nondiabetic renal disease. Kidney Int 1999;71(Suppl):S14–S17 [DOI] [PubMed] [Google Scholar]
- 43.Dominguez JH, Tang N, Xu W, et al. Studies of renal injury III: Lipid-induced nephropathy in type II diabetes. Kidney Int 2000;57:92–104 [DOI] [PubMed] [Google Scholar]
- 44.Trevisan R, Dodesini AR, Lepore G. Lipids and renal disease. J Am Soc Nephrol 2006;17(4 Suppl 2):S145–S147 [DOI] [PubMed] [Google Scholar]
- 45.Crook ED, Thallapureddy A, Migdal S, et al. Lipid abnormalities and renal disease: Is dyslipidemia a predictor of progression of renal disease? Am J Med Sci 2003;325:340–248 [DOI] [PubMed] [Google Scholar]
- 46.Elyasi S, Khalili H, Hatamkhani S, Dashti-Khavidaki S. Prevention of vancomycin induced nephrotoxicity: A review of preclinical data. Eur J Clin Pharmacol 2013;69:747–754 [DOI] [PubMed] [Google Scholar]
- 47.Ocak S, Gorur S, Hakverdi S, et al. Protective effects of caffeic acid phenethyl ester, vitamin C, vitamin E and N-acetylcysteine on vancomycin-induced nephrotoxicity in rats. Basic Clin Pharmacol Toxicol 2007;100:328–333 [DOI] [PubMed] [Google Scholar]
