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Therapeutic drug monitoring for slow response to tuberculosis treatment in a state control program, Virginia, USA.

Worldwide, tuberculosis (TB) remains the leading cause of death from a curable infectious disease; [approximately equal to] 1.4 million deaths occurred in 2008 alone (1). Death is a consequence of delayed diagnosis and ineffective or incomplete treatment because cure rates exceed 95% with appropriate therapy (2). Slow response to therapy can lead to prolonged infectiousness, extended treatment duration, acquired drug resistance, or recurrence of TB after treatment. The reasons for slow response are diverse, but measurement of serum anti-TB drug levels, or therapeutic drug monitoring (TDM), is a potentially useful tool for uncovering the causes of slow response (3,4). Low serum levels can be a consequence of malabsorption, inaccurate dosing, altered metabolism, or drug--drug interactions (4), but in most instances low serum levels can be readily corrected with dose adjustment.

TDM is currently recommended in TB treatment guidelines as optional (5), and few large TB control programs have access to routine TDM. Although published reports describe patients for whom slow response was attributable to low drug levels, questions remain about how best to implement TDM on a programmatic scale (6,7). Definitions of slow response vary, and recommendations for which medications to prioritize for TDM are lacking. Furthermore, for general populations receiving TB therapy, TDM is unlikely to be of benefit, given the infrequency of treatment failure or TB recurrence (8). Although it is well known that certain patients, such as those infected with HIV and thus prone to malabsorption, are at higher risk for low drug levels (9-12), studies of TDM that included patients responding well to anti-TB medications found lower than expected drug levels of isoniazid and rifampin in many patients with adequate clinical response (13,14). Therefore, identification of patients at risk for slow response is critical within a TB control program. In addition, TDM performed earlier in the time course of slow response may also affect other major programmatic outcomes, such as treatment duration.

In the state of Virginia it is mandatory for providers to report all cases of TB to the Virginia Department of Health. Each case is assigned to a nurse case manager, who oversees and monitors the progress of each patient until treatment is completed. Directly observed therapy is administered by the nurse case manager or a trained outreach worker. After 4 weeks of therapy, patients are screened by the nurse case manager. Medical consultation for patients with ongoing symptoms is provided by the state TB clinicians in an effort to identify slow response earlier and to prevent acquired drug resistance. Clinicians define slow response in a patient as after [greater than or equal to] 30 days from the start of treatment the patient has [greater than or equal to] 2 of the following findings: sputum smear positive for acid-fast bacilli; no improvement in TB-specific symptoms, including fever, cough, weight loss, and/or night sweats; and no improvement in chest radiograph lesions previously identified as consistent with TB. Routine TDM among patients who met criteria for slow response was instituted by March 2007.

We performed a retrospective cohort study among patients slow to respond to pulmonary TB treatment in the state of Virginia to determine the prevalence of lower than expected levels of isoniazid, rifampin, ethambutol, and pyrazinamide measured at the time of estimated peak serum concentration ([C.sub.max]). Secondary aims included investigation of risk factors for levels below the expected range, evaluation of the mean change and likelihood of achieving a level within the expected range after dose adjustment, and comparison of outcomes between persons with slow responses with those with low and expected levels. The study was approved by the institutional review boards for human subjects research at the University of Virginia and the Virginia Department of Health.



Patients were identified for inclusion in the study by using routine TB surveillance data recorded in the Virginia TB Registry. All patients who were [greater than or equal to] 18 years of age, had confirmed Mycobacterium tuberculosis cultures, and started TB therapy in the state of Virginia during March 1, 2007-May 1, 2009, were eligible. We included patients who had been treated for pulmonary TB or pulmonary TB and extrapulmonary TB and who began a regimen of isoniazid, rifampin, ethambutol, and pyrazinamide. All M. tuberculosis specimens were sent to the state TB laboratory, where drug-susceptibility testing was performed after secondary culture of the isolate by using the automated Bactec MGIT 960 system (Becton Dickinson, Sparks, MD, USA). Patients were excluded if their original isolate was later found to be resistant to [greater than or equal to] 1 first-line medication. Patients were also excluded if they had TDM performed for reasons other than slow response.

Surveillance data were retrieved from the state TB registry and included demographics (age, sex, race/ethnicity, country of origin, and homelessness), TB history (prior episodes of TB, sputum smear and culture status of current TB episode, and chest radiograph abnormalities), coexisting conditions (diabetes, HIV infection, intravenous drug use, and excessive alcohol use), and treatment outcomes (completion of TB treatment, duration of completed TB treatment, relapse of TB following treatment completion, acquisition of drug resistance in a previously susceptible TB strain, and death from any cause during TB treatment). Information about medication-related adverse events following anti-TB drug dose increase was obtained from personal communication with the state TB medical consultants.

Therapeutic Drug Monitoring

The standard procedure for TDM was for patients to be given their daily dose of TB medications in the morning while fasting and then observed for 2 hours, during which they were restricted from eating or drinking. At 2 hours after medication administration, venous blood was collected and serum was separated before transport on dry ice to the regional referral laboratory. The drug levels from blood collected 2 hours after medication administration ([C.sub.2hr]) were used as the estimated peak maximum serum concentration ([C.sub.max]) as per standard practice and were determined by using high-performance liquid chromatography (for isoniazid and rifampin) or gas chromatography with mass spectrometry (for ethambutol and pyrazinamide). Expected [C.sub.2hr] ranges were provided and were consistent with published norms (5). [C.sub.2hr] levels were also recorded for patients with initial low levels in whom follow-up TDM was performed after dose adjustment.

Data Analysis

Demographic and clinical characteristics were compared with the [chi square] statistic or, for nonparametric data, the Mann-Whitney U test. For the determination of risk factors for [C.sub.2hr] levels below the expected range, values were dichotomized into normal if the value was within or above the expected range, or low if the value fell below the expected range. Bivariate and multivariate logistic regression analyses were used to determine risk factors for either a low isoniazid or a low rifampin level. The multivariate model included any variable with p<0.1 in bivariate analysis and relevant demographic characteristics. Paired Student t tests were used to report the mean change in [C.sub.2hr] levels following dose adjustment. Medications dosed [greater than or equal to] 5x per week were considered daily dosed. Biweekly dosing was used for some patients for isoniazid and rifampin, with the isoniazid biweekly dose at 3x the usual daily dose. The rifampin dose was unchanged regardless of dosing frequency. The log-rank test was used to compare treatment duration and for patients who had not completed therapy at the time of analysis; data were right censored for survival analysis. All tests of significance were 2 sided. Data were analyzed with SPSS version 17.0 software (SPSS Inc., Chicago, IL, USA).


During the study, 350 patients were treated with an initial regimen of isoniazid, rifampin, ethambutol, and pyrazinamide for pulmonary TB; of these patients, 45 (13%) met criteria for slow response. Thirty-seven patients were excluded from the study (34 with normal response and 3 with slow response) after drug-susceptibility testing showed resistance to [greater than or equal to] 1 medication of the treatment regimen. An additional 2 patients were excluded because TDM was performed for reasons other than slow response. Thus, 311 patients were included in the study, of whom 42 (14%) met criteria for slow response (Table 1). At the time of TDM among patients meeting criteria for slow response, all had persistent TB-related symptoms. Of the 23 patients with initial smear-positive sputum specimens, 17 (74%) had specimens that remained smear positive.

The mean (SD) age for patients in the study was 46 years (20 years), and 204 (65%) were men (Table 1). The most common ethnicity was Asian (102 [33%]) and 228 (73%) were foreign born. Among all patients, 291 (93%) had no history of TB. Most patients tested had a positive tuberculin skin test (TST) result, although 85 (27%) did not have a TST reading recorded. There were 287 patients with a sputum smear recorded at the time of diagnosis; of these smears, 193 (62%) were positive for acid-fast bacilli. Ninety-five percent (295) of patients had a chest radiograph with findings suggestive of TB, of which 122 (39%) were cavitary. There was no significant difference in the proportion of patients with a positive TST result, a positive sputum smear, or a chest radiograph showing cavitation among the 42 with a slow response and the remaining patients with adequate response. Among patients meeting criteria for slow response, none were HIV infected and none reported using illicit drugs (either intravenous or nonintravenous). The only significant predictor of slow response was diabetes (unadjusted odds ratio [OR] 6.5, 95% confidence interval [CI] 3.2-13.5, p<0.001; adjusted OR [aOR] 6.3, 95% CI 2.8-14.0, p<0.001).

Initial [C.sub.2hr] Levels

All 42 patients who were slow to respond were monitored for rifampin, and 22 (52%) had a [C.sub.2hr] level below the expected range; 1 (2%) had a high level (Figure 1). For daily or biweekly dosed rifampin, the median [C.sub.2hr] level was 7.4 [micro]g/mL (interquartile range [IQR] 2.5-11.4 [micro]g/ mL, expected range 8-24 [micro]g/mL) (Table 2). Thirty-nine patients were monitored for isoniazid; 23 (59%) had levels below the expected range. For daily dosed isoniazid, the median [C.sub.2hr] was 1.90 [micro]g/mL (IQR 1.1-3.5 [micro]g/mL, expected range 3-6 [micro]g/mL), and for biweekly dosing, 9.8 [micro]g/ mL (IQR 2.8-11.2 [micro]g/mL, expected range 9-18 [micro]g/mL). Among the 39 patients who were tested for isoniazid and rifampin levels, 13 (33%) had levels below the expected range for both medications. Twenty-six patients were monitored for ethambutol; 8 (31%) had levels below the expected range. The median [C.sub.2hr] level for ethambutol was 2.5 [micro]g/mL (IQR 1.7-3.2 [micro]g/mL, expected range 2-6 [micro]g/ mL). Twenty patients were monitored for pyrazinamide, all had levels within the expected range; median [C.sub.2hr] level was 28.1 [micro]g/mL (IQR 26.5-33.2 [micro]g/mL, expected range 20-50 [micro]g/mL).

Risk Factors for Low Isoniazid or Rifampin Levels

Analyses of risk factors for low levels of isoniazid or low levels of rifampin were performed, but small sample size precluded meaningful analysis of risk factors for low ethambutol levels. Patients with diabetes were at significantly increased risk of having a low rifampin level (OR 5.8, 95% CI 1.4-23.1, p = 0.01; aOR 5.7, 95% CI 1.2-25.7, p = 0.03) (Table 3). Patients who received isoniazid biweekly were less likely to have low isoniazid levels than those who received isoniazid daily, but this association was not statistically significant in multivariate analysis (OR 0.21, 95% CI 0.05-0.91, p = 0.04; aOR 0.47, 95% CI 0.09-2.5, p = 0.37) (Table 3).

Follow-up [C.sub.2hr] Levels after Dose Adjustment

Eighteen patients with rifampin levels below the expected range had follow-up TDM after dose adjustment. Levels for all patients increased from the initial to the follow-up level with a mean (SD) change of 11.0 [micro]g/mL (9.7 [micro]g/mL; p<0.001); 16 (89%) had levels in the expected range after the first dose adjustment (Figure 2). Fourteen patients had follow-up TDM for daily-dosed isoniazid levels below the expected range; monitoring detected increased levels in 12 patients, with a mean (SD) change of 3.4 [micro]g/ mL (2.9 [micro]g/mL; p = 0.001); 4 (29%) patients had levels in the expected range. Four patients had follow-up TDM for biweekly-dosed isoniazid levels below the expected range, and all had increased levels with a mean (SD) change of 11.8 [micro]g/mL (6.1 [micro]g/mL; p = 0.03); 3 (75%) patients had levels in the expected range.

Rifampin levels below the expected range were significantly more likely to be corrected to within the expected range following the first dose adjustment than were daily-dosed isoniazid levels below the expected range (p = 0.01). There was no significant difference in the likelihood of correction to the expected range between daily and biweekly dosed isoniazid. No follow-up levels of ethambutol or pyrazinamide were reported. There were no reported medication-related adverse events following dose increase.

Treatment Outcomes

Complete outcomes were available for 32 (76%) patients; 10 patients continued receiving treatment. Twenty-seven patients successfully completed treatment, 3 patients died, and 2 patients moved out of the state where follow-up was incomplete. Median time to completion of therapy among all 27 patients was 45 weeks (IQR 40-51 weeks). Among the 14 patients with initial rifampin levels below the expected range who completed treatment, the median duration was 40 weeks (IQR 38-48 weeks) compared with a median duration of 47 weeks (IQR 44-55 weeks) for the 13 patients with initial rifampin levels within the expected range (log-rank p = 0.17).

There were no reports of relapse of infection over a median of 14.5 months (IQR 7-25 months) from the conclusion of treatment. No patient had documented acquisition of medication resistance in follow-up TB cultures while on treatment. All 3 deaths occurred shortly after TDM was performed: 1 patient had isoniazid, rifampin, ethambutol, and pyrazinamide levels within expected ranges, 1 patient had isoniazid, rifampin, and ethambutol levels within expected ranges, and 1 patient had isoniazid, rifampin, and ethambutol levels below the expected ranges.


The major finding of this study is that among patients being treated for pulmonary TB in Virginia, most patients that met criteria for slow response to therapy were found to have [C.sub.2hr] levels of rifampin and isoniazid below the expected range; many patients also had low levels of ethambutol. Given the high frequency of patients who were slow to respond to both key first-line medications, isoniazid and rifampin, and the well-tolerated subsequent increase in levels documented after dose adjustment, TDM appears to be a useful strategy for identifying a remediable cause of slow response at a programmatic level. Furthermore, the median duration of therapy for patients with rifampin levels below the expected range was nearly 2 months shorter than that for patients with normal rifampin levels. Although it is not specifically known if identification and correction of lower than expected levels brought about a rapid improvement in TB clinical signs and symptoms, the comparatively shorter course represents a substantial cost savings when considering personnel involved in monitoring and medication administration, as well as diagnostic tests averted in the workup of otherwise unexplained slow response.

We found that [approximately equal to] 90% of patients with lower than expected rifampin levels who were subsequently tested after the first dose adjustment achieved target levels. Dose-titration studies of rifampin confirm a continuously increasing response of early bactericidal activity by measurement of sputum colony counts with corresponding increase in rifampin dose (16,17). Rifampin has been tolerated at doses as high as 1,200 mg in small studies, and larger trials are ongoing to study high-dose rifampin in an effort to shorten therapeutic duration (18,19). Given increasing evidence that rifampin may be underdosed for many patients regardless of TB outcome (20), the findings of this study suggest that rifampin is a prime medication to prioritize for early TDM for patients for whom TB therapy is failing.

Diabetes was significantly associated with slow response in our study population, and, among persons with a slow response with diabetes, [C.sub.2hr] levels of rifampin were significantly more likely to be below the expected range. Patients with diabetes are at greater risk for incident TB (21,22) and are more likely to have poor TB treatment outcomes (23,24), which may partially be explained by inadequate pharmacotherapy. A growing body of evidence has demonstrated reduced rifampin exposure in patients with TB and diabetes, which may be in part related to impaired absorption (25,26). Although rifampin absorption may not be blunted by delayed gastric emptying (27), hyperglycemia can decrease gastric hydrochloric acid secretion, which results in a higher gastric pH and reduced rifampin absorption (25). Markers of glycemic control were not available for analysis in this study, but it may be of further use to risk stratify patients with diabetes based on disease severity. It is suspected, though not tested, that drug-drug interactions were also playing a role in the observed lower levels of rifampin in patients with diabetes from our study population. Given preexisting knowledge of the association between diabetes and poor treatment outcome, there may have been a bias on behalf of the TB control staff to characterize a patient with diabetes as a person with a slow response based on symptom persistence. Nevertheless, our findings raise the possibility of TB programs studying the benefit of routine TDM for rifampin among all patients with diabetes at the start of TB therapy.


Routine TDM among persons with slow responses at a relatively early point in the treatment course reflects policy change within Virginia's TB control program. Given the high prevalence of low levels of key medications and the observed ease of correction after dose adjustment, we recommend that similar TB programs investigate the applicability of TDM within their own settings. Further generalization must be cautiously considered, however, because relevant factors that may adversely affect pharmacokinetics, such as the patient's weight at the time of TDM, concurrent medication use, chronic kidney disease, or cirrhosis, were not available in these surveillance data for comparison (28-30). Other limitations to the study must be taken into account. Blood was collected at 2 hours after medication administration to estimate [C.sub.max]. A second blood collection at 6 hours can additionally distinguish patients whose absorption may be delayed secondary to poor gastric emptying (4); however, the frequency of delayed absorption has been rare in other cohorts for which 2 and 6 hour measurements were performed (10).

Additionally, given that the prevalence of lower than expected drug levels was not known for patients with adequate response to anti-TB therapy, the overall contribution of pharmacotherapy to the cause of slow response in this cohort cannot be fully assessed. Surveillance data did not permit comparison of culture positivity in patients who met criteria for slow response at the time of TDM matched to patients with adequate response for whom TDM was not performed. Use of TDM as early as 4 weeks, as was performed in this study, may have selected for patients that might otherwise have improved after 8 weeks of therapy regardless of other interventions. Lastly, further study may find, given that the cost of TDM ([approximately equal to] $80 US per individual drug) may be substantial for some TB control programs, that it is more economical to start therapy with increased drug dosages for patients at higher risk for slow response.

In summary, routine TDM among patients meeting criteria for slow response to TB therapy in Virginia identified most of those tested to have [C.sub.2hr] levels of rifampin and isoniazid below the expected range; many patients also had low levels of ethambutol. Most patients with repeat TDM following dose adjustment to rifampin and isoniazid had levels within the expected range, suggesting a clinically actionable result. Given the comparative ease of correcting low rifampin levels and the shorter duration of therapy in those with a correctable rifampin level, this medication is particularly appealing to target for programmatic intervention. Further prospective studies should evaluate the benefit of routine TDM for rifampin early in the treatment course among patients with diabetes or of higher initial doses of rifampin among all groups at risk for slow response.

DOI: 10.3201/eid1610.100374


We are grateful to Margaret Tipple for her contribution to the implementation of therapeutic drug monitoring in Virginia. We also thank Charles Peloquin for his review of the manuscript.


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Author affiliations: University of Virginia, Charlottesville, Virginia, USA (S.K. Heysell, E.R. Houpt); and Virginia Department of Health, Richmond, Virginia, USA (J.L. Moore, S.J. Keller)

Address for correspondence: Scott K. Heysell, Infectious Diseases and International Health, University of Virginia, PO Box 801337, Charlottesville, VA 22908, USA; email:

Dr Heysell is a fellow in infectious diseases and international health at the University of Virginia. His research interests include the epidemiology and diagnosis of drug-resistant TB.
Table 1. Baseline characteristics of adults treated for
drug-susceptible pulmonary TB in a state control program,
Virginia, USA, March 1, 2007-May 1, 2009 *

                                     All        Slow       Normal
                                  patients,   response,   response,
                                  N = 311,     n = 42,    n = 269,
Characteristic                     no. (%)     no. (%)     no. (%)

Age, y
  18-39                           151 (49)     16 (38)    135 (50)
  40-64                            90 (29)     13 (31)     77 (29)
  [greater than or equal to] 65    70 (22)     13 (31)     57 (21)
  M                               204 (65)     29 (69)    175 (65)
  F                               107 (35)     13 (31)     94 (35)
  Asian                           102 (33)     19 (45)     83 (31)
  Hispanic                         82 (26)     11 (26)     71 (26)
  Black                            86 (28)     8 (19)      78 (29)
  White                            41 (13)     4 (10)      37 (14)
  Native American                     0           0           0
Foreign born
  No                               83 (27)     9 (21)      74 (28)
  Yes                             228 (73)     33 (79)    195 (72)
  No                              301 (97)     41 (98)    260 (97)
  Yes                              10 (3)       1 (2)       9 (3)
Illicit drug use
  No                              298 (96)    42 (100)    256 (95)
  Non-injection use                 7 (2)         0         7 (3)
  Injection use                     6 (2)         0         6 (2)
Alcohol abuse
  No                              276 (89)     38 (91)    238 (89)
  Yes                              35 (11)      4 (9)      31 (11)
HIV status
  Negative                        266 (86)     37 (88)    229 (85)
  Positive                         11 (3)         0        11 (4)
  Unknown                          34 (11)     5 (12)      29 (11)
  No                              270 (87)     25 (60)    245 (91)
  Yes                              41 (13)     17 (40)     24 (9)
Prior TB history
  No                              291 (93)     38 (91)    253 (94)
  Yes                              18 (6)       3 (7)      15 (5)
  Unknown                           2 (1)       1 (2)       1 (1)
Tuberculin skin test result
  Negative                         47 (15)     5 (12)      42 (16)
  Positive                        179 (58)     23 (55)    156 (58)
  Unavailable                      85 (27)     14 (33)     71 (26)
Sputum smear
  Negative                         94 (30)     9 (21)      85 (31)
  Positive                        193 (62)     30 (72)    163 (61)
  Not done                         24 (8)       3 (7)      21 (8)
Chest radiograph
  No TB findings                   16 (5)       2 (5)      14 (5)
  Noncavitary                     173 (56)     19 (45)    154 (57)
  Cavitary                        122 (39)     21 (50)    101 (38)
Disease site
  Pulmonary                       212 (68)     32 (76)    180 (67)
  Pulmonary/extrapulmonary         99 (32)     10 (24)     89 (33)

                                    Bivariate OR (95% CI);
Characteristic                             p value

Age, y
  18-39                                    Referent
  40-64                           1.4 (0.65-3.10); p = 0.38
  [greater than or equal to] 65   1.9 (0.87-4.30); p = 0.11
  M                                        Referent
  F                               0.84 (0.42-1.70); p = 0.61
  Asian                                    Referent
  Hispanic                        0.67 (0.30-1.50); p = 0.34
  Black                           0.45 (0.19-1.10); p = 0.07
  White                           0.47 (0.15-1.50); p = 0.20
  Native American
Foreign born
  No                                       Referent
  Yes                             1.4 (0.64-3.00); p = 0.41
  No                                       Referent
  Yes                             0.71 (0.09-5.70); p = 0.74
Illicit drug use
  No                                       Referent
  Non-injection use                         p>0.99
  Injection use                             p>0.99
Alcohol abuse
  No                                       Referent
  Yes                             0.81 (0.27-2.40); p = 0.70
HIV status
  Negative                                 Referent
  Positive                                  p>0.99
  Unknown                         1.1 (0.39-2.90); p = 0.90
  No                                       Referent
  Yes                              6.9 (3.3-14.6); p<0.001t
Prior TB history
  No                                       Referent
  Yes                             1.3 (0.37-4.80); p = 0.66
  Unknown                         6.6 (0.41-108.70); p = 0.18
Tuberculin skin test result
  Negative                                 Referent
  Positive                        1.2 (0.44-3.50); p = 0.68
  Unavailable                     1.7 (0.56-4.90); p = 0.36
Sputum smear
  Negative                                 Referent
  Positive                        1.7 (0.79-3.80); p = 0.17
  Not done                        1.3 (0.34-5.40); p = 0.67
Chest radiograph
  No TB findings                           Referent
  Noncavitary                     0.86 (0.18-4.10); p = 0.85
  Cavitary                        1.5 (0.31-6.80); p = 0.64
Disease site
  Pulmonary                                Referent
  Pulmonary/extrapulmonary        0.63 (0.30-1.30); p = 0.23

* Tuberculin skin test values recorded in surveillance database
as positive based on guidelines from the American Thoracic
Society and Centers for Disease Control and Prevention (15). TB,
tuberculosis; OR, odds ratio; CI, confidence interval.

([dagger]) Adjusted odds ratio 6.3 (95% CI 2.8-14.0); p<0.001.

Table 2. Comparison of median serum concentration at 2 hours
after medication administration as estimate of peak serum
concentration levels and expected range, therapeutic drug
monitoring, Virginia, USA, March 1, 2007-May 1, 2009 *

                                   Median serum        Expected serum
                                  concentration,       concentration
Medication                       [micro]g/mL (IQR)   range, [micro]g/mL

  Daily                            1.9 (1.1-3.5)            3-6
  Biweekly                        9.8 (2.8-11.2)            9-18
Rifampin daily and/or biweekly    7.4 (2.5-11.4)            8-24
Ethambutol ([dagger])              2.5 (1.7-3.2)            2-6
Pyrazinamide ([dagger])          28.1 (26.5-33.2)          20-50

* IQR, interquartile range.

([dagger]) All patients with therapeutic drug monitoring levels
obtained for ethambutol and pyrazinamide were taking weight-based
daily doses of these medications.

Table 3. Risk factors for INH or RIF serum concentration levels
below the expected range 2 hours after medication administration
among persons with slow responses, therapeutic drug monitoring,
Virginia, USA, March 1, 2007-May 1, 2009 *

                    Normal INH,  Low INH,
                      n = 16,    n = 23,      Bivariate risk ratio
Characteristic        no. (%)    no. (%)        (95% CI); p value

Age, y
  18-39               4 (25)      8 (35)            Referent
  40-64               7 (44)      8 (35)   0.57 (0.12-2.80); p = 0.49
  [greater than or    5 (31)      7 (30)   0.70 (0.13-3.70); p = 0.67
    equal to] 65
  M                   11 (69)    15 (65)            Referent
  F                   5 (31)      8 (35)    1.2 (0.30-4.60); p = 0.82
  White                1 (6)      3 (13)   1.9 (0.16-22.30); p = 0.61
  Asian               7 (44)     11 (48)            Referent
  Hispanic/Latino     6 (38)      4 (17)   0.42 (0.09-2.10); p = 0.43
  Black               2 (12)      5 (22)   1.6 (0.24-10.60); p = 0.63
  No                  3 (19)      6 (26)            Referent
  Yes                 13 (81)    17 (74)   0.65 (0.14-3.10); p = 0.59
  No                  10 (63)    13 (57)            Referent
  Yes                 6 (37)     10 (43)    1.3 (0.35-4.70); p = 0.71

Alcohol abuse
  No                  15 (94)    22 (96)            Referent
  Yes                  1 (6)      1 (4)    0.69 (0.40-11.70); p = 0.79
Dose interval
  Daily               8 (50)     19 (83)            Referent
  Biweekly            8 (50)      4 (17)   0.21 (0.05-0.90); p = 0.04
                                                ([double dagger])

                    Normal RIF,  Low RIF,
                      n = 20,    n = 22,      Bivariate risk ratio
Characteristic        no. (%)    no. (%)       (95% CI); p value

Age, y
  18-39               5 (25)     10 (46)            Referent
  40-64               8 (40)      7 (32)   0.44 (0.10-1.90); p = 0.27
  [greater than or    7 (35)      5 (22)   0.36 (0.07-1.70); p = 0.20
    equal to] 65
  M                   13 (65)    15 (68)            Referent
  F                   7 (35)      7 (32)   0.87 (0.24-3.10); p = 0.81
  White               3 (15)       1(5)     0.37 (0.3-4.2); p = 0.42
  Asian               10 (50)     9 (41)            Referent
  Hispanic/Latino     3 (15)      8 (36)   3.0 (0.60-14.70); p = 0.18
  Black                4(20)      4 (18)   1.1 (0.21-5.80); p = 0.90
  No                  6 (30)      3 (14)            Referent
  Yes                 14 (70)    19 (86)   2.7 (0.58-12.80); p = 0.21
  No                  16 (80)     9 (41)            Referent
  Yes                 4 (20)     13 (59)    5.8 (1.4-23.1); p = 0.01
Alcohol abuse
  No                  18 (90)    20 (91)            Referent
  Yes                 2 (10)      2 (9)    0.90 (0.12-7.10); p = 0.92
Dose interval
  Daily               11 (65)    16 (73)            Referent
  Biweekly            6 (35)      6 (27)   0.88 (0.23-3.30); p = 0.85

* INH, isoniazid; RIF, rifampin; CI, confidence interval. Low is
defined as below expected range; normal is defined as within or
above expected range.

([dagger]) Adjusted odds ratio 5.7 (1.2-25.7); p = 0.03.

([double dagger]) Adjusted odds ratio 0.47 (0.09-2.50); p = 0.37.

Figure 1. Results of serum concentration 2 hours after medication
Administration levels ([C.sub.2hr]) of first-line antituberculosis
Medications among patients with a slow response to tuberculosis
therapy. Frequencies are reported for low, within target, and high
[C.sub.2hr] levels Corresponding to levels below, within, or above
the expected range for each medication.

               Low   Therapeutic   High
Isoniazid      59%       41%
Rifampin       52%       46%        2%
Ethambutol     31%       69%
Pyrazinamide            100%

Note: Table made from bar graph.
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Article Details
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Title Annotation:RESEARCH
Author:Heysell, Scott K.; Moore, Jane L.; Keller, Suzanne J.; Houpt, Eric R.
Publication:Emerging Infectious Diseases
Article Type:Clinical report
Date:Oct 1, 2010
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