Tigecycline Versus Levofloxacin in Hospitalized Patients With Community-Acquired Pneumonia: An Analysis of Risk Factors

Nathalie Dartois*, 1, C Angel Cooper 2, Nathalie Castaing 1, Hassan Gandjini 1, , Denise Sarkozy 2, Author Comment: on behalf of the 308 and 313 Study Groups

1 Pfizer Global Research and Development, Paris, France
2 Pfizer Inc, Collegeville, PA, USA

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© Dartois et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at Pfizer Global Research and Development, 23-25 avenue du Docteur Lannelongue, 75668 Paris Cedex 14, France; Tel: + 33 1 58 07 34 31; E-mail:
Former employee of Pfizer Inc.



This study was conducted to evaluate the efficacy of tigecycline (TGC) versus levofloxacin (LEV) in hospitalized patients with community-acquired pneumonia (CAP) using pooled data and to perform exploratory analyses of risk factors associated with poor outcome.

Materials and Methodology:

Pooled analyses of 2 phase 3 studies in patients randomized to intravenous (IV) TGC (100 mg, then 50 mg q12h) or IV LEV (500 mg q24h or q12h). Clinical responses at test of cure visit for the clinically evaluable (CE) and clinical modified intention to treat populations were assessed for patients with risk factors including aged ≥65 years, prior antibiotic failure, bacteremia, multilobar disease, chronic obstructive pulmonary disease, alcohol abuse, altered mental status, hypoxemia, renal insufficiency, diabetes mellitus, white blood cell count >30 x 109/L or <4 x 109/L, CURB-65 score ≥2, Fine score category of III to V and at least 2 clinical instability criteria on physical examination.


In the CE population of 574 patients, overall cure rates were similar: TGC (253/282, 89.7%); LEV (252/292, 86.3%). For all but one risk factor, cure rates for TGC were similar to or higher than those for LEV. For individual risk factors, the greatest difference between treatment groups was observed in patients with diabetes mellitus (difference of 22.9 for TGC versus LEV; 95% confidence interval, 4.8 - 39.9).


TGC achieved cure rates similar to those of LEV in hospitalized patients with CAP. For patients with risk factors, TGC provided generally favorable clinical outcomes.

Keywords: Community-acquired pneumonia, glycylcycline, risk factors, tigecycline..


Community-acquired pneumonia (CAP) is the cause of 500,000 to 1 million hospital admissions each year in the United States [1]. Associated with high morbidity and mortality, CAP requiring hospitalization also is the most frequent serious infection that clinicians treat worldwide [1-3]. The challenge of treating patients with CAP has been heightened by the emergence of antibiotic-resistant bacteria including multidrug-resistant Streptococcus pneumonia [4,5], methicillin-resistant Staphylococcus aureus and community-associated methicillin-resistant S. aureus [6]. Pathogens frequently implicated in CAP include macrolide-resistant and penicillin-resistant pneumococci, Haemophilus influenzae and other potentially resistant pathogens.

Response to appropriate antibiotic treatment may be influenced by various underlying and interrelated patient-specific factors including advanced age [7,8], male gender [7-9], severity of infection, compromised immune status [10] and coexisting disease conditions such as chronic cardiovascular or respiratory disease, diabetes mellitus and neoplasm [7-9]. Patients with malnutrition [7], suspicion of aspiration [7], altered mental status [7-9], low blood pressure [7,9], tachypnea [7,9], hypothermia (i.e., temperature lower than 35°C) [7,9], high blood urea nitrogen [7] and multilobar radiographic pulmonary infiltrates [7,9] represent other high-risk categories indicative of a negative outcome. Accordingly, the Fine pneumonia severity index and the CURB-65 scoring systems were developed to help clinicians identify the mortality risk for patients with CAP to help guide treatment decisions [11,12]. A thorough assessment for CAP-associated prognostic factors allows the clinician to make appropriate decisions on the management for the patient.

Tigecycline (TGC), a novel glycylcycline antibiotic, overcomes 2 key tetracycline resistance mechanisms (efflux pumps and ribosomal protection) [13] and has in vitro activity against a broad spectrum of gram-positive and gram-negative bacteria, atypical organisms, anaerobes and multidrug-resistant pathogens [13,14]. The efficacy and safety of TGC have been demonstrated in randomized, double-blind, controlled phase 3 studies, and TGC has received regulatory approval for the treatment of complicated intra-abdominal infections and complicated skin and skin structure infections in over 65 countries [15,16]. More recently, TGC has been approved in some countries for the treatment of community-acquired bacterial pneumonia.

Levofloxacin (LEV), a synthetic, broad-spectrum fluoroquinolone, is one of several standard therapies recommended for the treatment of patients with CAP [1,3,17,18]. The present report presents an exploratory analysis of data from 2 previously published phase 3 studies [19] that compared the overall efficacy and safety of TGC with those of LEV in the treatment of hospitalized patients with CAP and evaluates clinical response to treatment by prognostic risk factors. In this post hoc analysis, we provide additional detail from the previously published data that highlights clinical responses at test of cure (TOC) visit as it relates to risk factors associated with a poor outcome.


Study Design

This exploratory analysis of prognostic risk factors in hospitalized patients with CAP utilized pooled data from 2 phase 3, multicenter, randomized, double-blind studies (308 and 313) [19]. Study 308 was conducted in the United States, Canada and Latin America; study 313 in Europe, Asia Pacific and South Africa. At randomization, patients were stratified by geographic location (study 308) and Fine score category (both studies) [19] and then assigned to TGC or LEV. Each protocol was reviewed and approved by each investigator’s independent ethics committee or institutional review board in accordance with local regulations and good clinical practices. Written informed consent was obtained from each patient or his/her guardian before the initiation of any study procedures.

The primary efficacy endpoint in the original pooled analysis was clinical response within the clinically evaluable (CE) and clinical modified intention to treat (c-mITT) populations at the TOC assessment 7 to 23 days post therapy [19]. Using the same patient populations, clinical response (cure/failure/indeterminate outcome) in the present analysis was evaluated by prognostic risk factors. Specific risk factors analyzed included patients with the following characteristics: aged ≥65 years [7,8], prior antibiotic failure [20], bacteremia [9], multilobar disease at baseline [7,9], chronic obstructive pulmonary disease (COPD) [21], hypoxemia [11], renal insufficiency or blood urea nitrogen >20 mg/dL or urea >7 mmol/L [7], diabetes mellitus or baseline glucose >13.9 mmol/L [9], alcohol abuse [22], altered mental status [7-9], white blood cell (WBC) count >30 x 109/L or <4 x 109/L, CURB-65 score ≥2 (post-study calculation) [12] and Fine score category of III to V [11]. Data were presented for patients with at least 2 clinical instability criteria (i.e., oral temperature >37.8˚C, heart rate >100 beats per minute, respiratory rate >24 breaths/min, systolic blood pressure <90 mm Hg, hypoxemic, WBC count >11 x 109/L and altered mental status). The clinical instability criteria were the opposite of the clinical stability criteria suggested by Menendez et al. [23], or the opposite of criteria that would allow patients to be switched to oral medication or discharged [24]. In addition, a pooled analysis of the efficacy and mortality in the group at higher risk for mortality (i.e., aged ≥50 years, Fine score category of III to V or bacteremia due to S. pneumoniae) was conducted.

In this exploratory analysis, categorical baseline demographic, medical and risk factor variables were analyzed using the Fisher exact test. Continuous variables were analyzed using a one-way analysis of variance model with treatment as a factor. Clinical response rates by the presence of prognostic risk factors were analyzed between treatment groups using 95% confidence intervals (CIs) for differences, calculated using the Wilson score method.

Treatment Regimens

In the 2 original CAP studies, patients were assigned in a 1:1 double-blind fashion to receive either intravenous (IV) TGC (an initial 100-mg dose given by infusion over a 30-60 minute period, followed by 50 mg IV every 12 hours) or LEV (500 mg once daily or every 12 hours, based on the investigator’s discretion, administered over approximately 60 minutes; for patients with creatinine clearance 20-49 mL/min, the dose was to be 250 mg once or twice daily) [19]. Patients in one study (313) were to receive at least 7 days of IV therapy, unless clinical failure occurred, up to a maximum of 14 days. In the second study (308), patients in both treatment groups were allowed to switch to oral LEV after at least 3 days of IV dosing if they met protocol-specified criteria for improvement in the signs and symptoms of pneumonia. Treatment was to be administered for a minimum of 7 total days (IV plus oral) to a maximum of 14 days of therapy overall.

Primary Inclusion/Exclusion Criteria

All patients with CAP in this risk factor analysis satisfied the following entry criteria per the original study protocols [19]. Male or non-pregnant/non-lactating female patients aged ≥18 years hospitalized with clinical signs and symptoms of CAP who required initial parenteral therapy were considered for enrollment. Primary inclusion criteria included fever within 24 hours of randomization or hypothermia; at least 2 signs and symptoms consistent with CAP (e.g., cough, production of purulent or mucopurulent sputum, auscultatory findings on pulmonary examination suggestive of pulmonary consolidation; dyspnea or tachypnea; WBC count >10,000/mm3 or hypoxemia); and radiologically confirmed evidence of a new or progressive infiltrate(s) consistent with bacterial pneumonia within 48 hours before receiving the first dose of study drug. Key exclusion criteria included hospitalization within 14 days before the onset of symptoms, Fine score category of V (study 308 only), required treatment in an intensive care unit and bronchiectasis or post-obstructive pneumonia or end-stage COPD (forced expiratory volume in 1 second <30% predicted).

Clinical Evaluations

Patients comprising this risk factor analysis were evaluated and clinical signs and symptoms were recorded at serial visits: baseline (within 24 hours of first study drug dose), during treatment, early follow-up (2 - 4 days post therapy) and TOC (7 - 23 days post therapy). Pulse oximetry and/or arterial blood gases were obtained at baseline, end of IV therapy, early follow-up and at TOC visits. Chest x-rays were obtained at baseline (within 48 hours of receiving the first dose of study drug) and were repeated at the TOC visit. At baseline, respiratory tract specimens, blood cultures and serum for serology were obtained whenever possible; Legionella and pneumococcal urinary antigens and rapid influenza tests also were performed. Tests were conducted using commercially available kits to local standards. Serology testing was performed by a central laboratory to Clinical Laboratory Standards Institute standards. Clinical responses were graded as cure, failure or indeterminate outcome at the TOC assessment [19].


In the previously published pooled analysis, a total of 574 patients (TGC, 282; LEV, 292) and 797 patients (TGC, 394; LEV, 403) comprised the CE and c-mITT populations, respectively [19]. These patient populations were the focus of the present exploratory analysis of efficacy by risk factor subgroups. Tigecycline-treated patients and levofloxacin-treated patients were similar in demographics and baseline medical characteristics in the modified intention to treat population (Table 1). The population was predominantly male (~60%) with a mean age of 52 years. Approximately 29% of patients had estimated CURB-65 scores ≥2, almost 47% of patients had a Fine score category of III to V and approximately 79% of patients had at least 2 clinical instability criteria.

Table 1..

Demographics and Baseline Characteristics for Pooled CAP Studies 308 and 313 (Modified Intention to Treat Population)

Characteristic Tigecycline(n = 424) Levofloxacin(n = 422) p-Value
Age, Years
  Mean 52.65 51.87 0.539
  SD 17.99 18.74
Male, n (%) 243 (57.3) 265 (62.8) 0.107
Specific Risk Factors, n (%)
  Aged ≥65 years 122 (28.8) 122 (28.9) 1.000
  Prior antibiotic failure 62 (14.6) 74 (17.5) 0.262
  Bacteremia 32 (7.5) 31 (7.3) 1.000
  Multilobar disease at baseline 125 (29.5) 106 (25.1) 0.165
  COPD 49 (11.6) 43 (10.2) 0.581
  Hypoxemia 106 (25.0) 113 (26.8) 0.583
  Renal insufficiency or BUN >19.6 mg/dL or urea >7 mmol/L 136 (32.1) 132 (31.3) 0.825
  Diabetes or glucose >13.9 mmol/L 56 (13.2) 61 (14.5) 0.620
  Alcohol abuse 35 (8.3) 33 (7.8) 0.899
  Altered mental status 9 (2.1) 9 (2.1) 1.000
  WBC count >30 x 109/L or <4 x 109/L 21 (5.0) 19 (4.5) 0.872
CURB-65 Score, n (%)
  Total score ≥2 122 (28.8) 124 (29.4) 0.880
CURB-65 Score Components
  Confusion (altered mental status from medical history) 9 (2.1) 9 (2.1) 1.000
  Urea >7 mmol/L (BUN >19.6 mg/dL) 129 (30.4) 125 (29.6) 0.822
  Respiratory rate ≥30 breaths/min 109 (25.7) 95 (22.5) 0.296
  Blood pressure <90 systolic or diastolic blood pressure ≤60 74 (17.5) 86 (20.4) 0.293
  Aged ≥65 years 122 (28.8) 122 (28.9) 1.000
Fine Score, n (%)
  Category III-V 197 (46.5) 199 (47.2) 0.890
Clinical Instability Criteria
At least 2 criteria (listed below), n (%) 336 (79.2) 333 (78.9) 0.933
  Oral temperature >37.8°C 381 (89.9) 384 (91.0) 0.641
  Heart rate >100 bpm 168 (39.6) 171 (40.5) 0.833
  Respiratory rate >24 breaths/min 166 (39.2) 157 (37.2) 0.572
  Systolic blood pressure <90 mm Hg 11 (2.6) 13 (3.1) 0.685
  Hypoxemia 106 (25.0) 113 (26.8) 0.583
  WBC count >11 x 109/L 231 (54.5) 235 (55.7) 0.730
  Altered mental status 9 (2.1) 9 (2.1) 1.000

COPD: chronic obstructive pulmonary disease; BUN: blood urea nitrogen; WBC: white blood cell.

Table 2..

Clinical Response at Test of Cure Assessment by Risk Factora

Study Population
Risk Factor Tigecycline, n (%) Levofloxacin, n (%) Tigecycline - Levofloxacin, % Difference (95% CI) Tigecycline, n (%) Levofloxacin, n (%) Tigecycline - Levofloxacin, % Difference (95% CI)b
 Cure 253 (89.7) 252 (86.3) 3.4 (-2.2 - 9.1) 319 (81.0) 321 (79.7) 1.3 (-4.5 - 7.1)
 Failure 29 (10.3) 40 (13.7) 45 (11.4) 57 (14.1)
 Indeterminate outcome 30 (7.6) 25 (6.2)
Aged ≥65 Years
 Cure 73 (88.0) 77 (81.9) 6.0 (-5.7 - 17.2) 89 (77.4) 91 (77.8) -0.4 (-11.7 - 10.9)
 Failure 10 (12.0) 17 (18.1) 13 (11.3) 19 (16.2)
 Indeterminate outcome 13 (11.3) 7 (6.0)
Prior Antibiotic Failure
 Cure 9 (81.8) 14 (70.0) 11.8 (-26.3 - 40.4) 46 (79.3) 55 (76.4) 2.9 (-12.8 - 17.8)
 Failure 2 (18.2) 6 (30.0) 9 (15.5) 15 (20.8)
 Indeterminate outcome 3 (5.2) 2 (2.8)
 Cure 21 (84.0) 14 (70.0) 14.0 (-13.1 - 40.6) 23 (74.2) 18 (58.1) 16.1 (-9.4 - 39.1)
 Failure 4 (16.0) 6 (30.0) 6 (19.4) 9 (29.0)
 Indeterminate outcome 2 (6.5) 4 (12.9)
Multilobar Disease at Baseline
 Cure 66 (82.5) 58 (80.6) 1.9 (-11.2 - 15.4) 89 (74.8) 74 (73.3) 1.5 (-10.5 - 13.8)
 Failure 14 (17.5) 14 (19.4) 19 (16.0) 18 (17.8)
 Indeterminate outcome 11 (9.2) 9 (8.9)
 Cure 26 (81.3) 23 (76.7) 4.6 (-17.7 - 26.8) 29 (65.9) 28 (68.3) -2.4 (-23.0 - 18.7)
 Failure 6 (18.8) 7 (23.3) 8 (18.2) 9 (22.0)
 Indeterminate outcome 7 (15.9) 4 (9.8)
 Cure 59 (88.1) 62 (82.7) 5.4 (-7.7 - 17.9) 77 (77.8) 82 (75.9) 1.9 (-10.4 - 13.8)
 Failure 8 (11.9) 13 (17.3) 11 (11.1) 14 (13.0)
 Indeterminate outcome 11 (11.1) 12 (11.1)
Renal Insufficiency or BUN >19.6 mg/dL or Urea >7 mmol/L
 Cure 85 (86.7) 79 (78.2) 8.5 (-2.9 - 19.6) 102 (81.0) 97 (75.8) 5.2 (-5.5 - 15.7)
 Failure 13 (13.3) 22 (21.8) 15 (11.9) 24 (18.8)
 Indeterminate outcome 9 (7.1) 7 (5.5)
Diabetes or Glucose >13.9 mmol/L
 Cure 35 (97.2) 29 (74.4) 22.9 (4.8 - 39.9) 41 (83.7) 41 (71.9) 11.7 (-5.8 - 27.9)
 Failure 1 (2.8) 10 (25.6) 3 (6.1) 12 (21.1)
 Indeterminate outcome 5 (10.2) 4 (7.0)
Alcohol Abuse
 Cure 24 (85.7) 23 (85.2) 0.5 (-21.2 - 22.5) 27 (79.4) 27 (81.8) -2.4 (-23.1 - 18.7)
 Failure 4 (14.3) 4 (14.8) 4 (11.8) 5 (15.2)
 Indeterminate outcome 3 (8.8) 1 (3.0)
Altered Mental Status
 Cure 5 (71.4) 7 (87.5) -16.1 (-58.9 - 31.0) 6 (66.7) 8 (88.9) -22.2 (-59.5 - 23.1)
 Failure 2 (28.6) 1 (12.5) 2 (22.2) 1 (11.1)
 Indeterminate outcome 1 (11.1) 0 (0)
WBC Count >30 x 109/L or <4 x 109/L
 Cure 10 (76.9) 11 (73.3) 3.6 (-32.1 - 36.7) 13 (65.0) 13 (68.4) -3.4 (-33.5 - 27.7)
 Failure 3 (23.1) 4 (26.7) 3 (15.0) 4 (21.1)
 Indeterminate outcome 4 (20.0) 2 (10.5)
CURB-65 Score ≥2
 Cure 72 (85.7) 82 (82.8) 2.9 (-8.9 - 14.1) 88 (76.5) 96 (79.3) -2.8 (-14.0 - 8.3)
 Failure 12 (14.3) 17 (17.2) 14 (12.2) 19 (15.7)
 Indeterminate outcome 13 (11.3) 6 (5.0)
Fine Score Category III-V
 Cure 125 (89.3) 115 (80.4) 8.9 (-0.1 - 17.7) 149 (80.1) 144 (76.6) 3.5 (-5.2 - 12.2)
 Failure 15 (10.7) 28 (19.6) 22 (11.8) 33 (17.6)
 Indeterminate outcome 15 (8.1) 11 (5.9)
At Least 2 Clinical Instability Criteria
 Cure 207 (90.0) 198 (86.1) 3.9 (-2.4 - 10.2) 252 (80.5) 247 (77.9) 2.6 (-4.0 - 9.1)
 Failure 23 (10.0) 32 (13.9) 36 (11.5) 46 (14.5)
 Indeterminate outcome 25 (8.0) 24 (7.6)
Higher Risk of Mortality
 Cure 188 (89.5) 152 (81.3) 8.2 (0.9 - 15.7) 223 (80.8) 193 (76.0) 4.8 (-2.5 - 12.1)
 Failure 22 (10.5) 35 (18.7) 34 (12.3) 44 (17.3)
 Indeterminate outcome 19 (6.9) 17 (6.7)

CE: clinically evaluable; c-mITT: clinical modified intention to treat; COPD: chronic obstructive pulmonary disease; BUN: blood urea nitrogen; WBC: white blood cell.

Clinical cure was defined as all signs and symptoms of pneumonia improved or resolved, chest radiographs improved or not worse, no further antibiotic therapy necessary for treatment of pneumonia and no appearance of new signs and symptoms of pneumonia. Clinical failure was defined as persistence or worsening in signs and symptoms of the acute process, failure to show improvement in clinical findings, initial improvement in signs and symptoms followed by clinically significant worsening before test of cure assessment, additional necessary antimicrobial therapy for pneumonia, progression of chest radiograph abnormalities, death after study day 2 due to pneumonia or death due to a treatment-related adverse event.

Indeterminate outcome (clinically modified intention to treat population only) was defined as the patient was lost to follow-up, or died within 2 days after the first dose of study drug for any reason other than a treatment-related adverse event or died after 2 days because of non-infection-related reasons or infection other than pneumonia (as judged by the investigator).

95% confidence intervals (CIs) for overall differences were calculated using the normal approximation method with continuity correction. 95% CIs by risk factor differences were calculated using the Wilson score method with continuity correction. Unadjusted risk differences and CIs are presented.

Table 3..

Mortality Rates by Risk Factor (Modified Intention to Treat Population)

Risk Factor Tigecycline, n (%) Levofloxacin, n (%)
Overall 12 (2.8) 11 (2.6)
Aged ≥65 years 8 (6.6) 5 (4.1)
Prior antibiotic failure 2 (3.2) 1 (1.4)
Bacteremia 1 (3.1) 1 (3.2)
Multilobar disease at baseline 8 (6.4) 7 (6.6)
COPD 5 (10.2) 3 (7.0)
Hypoxemia 4 (3.8) 5 (4.4)
Renal insufficiency or BUN >19.6 mg/dL or urea >7 mmol/L 4 (2.9) 4 (3.0)
Diabetes or glucose >13.9 mmol/L 1 (1.8) 2 (3.3)
Alcohol abuse 1 (2.9) 2 (6.1)
Altered mental status 2 (22.2) 0
WBC count >30 x 109/L or <4 x 109/L 1 (4.8) 1 (5.3)
Higher risk of mortality 12 (4.1) 10 (3.7)

CE: clinically evaluable; c-mITT: clinical modified intention to treat; COPD: chronic obstructive pulmonary disease; BUN: blood urea nitrogen; WBC: white blood cell.

Clinical Response and Risk Factors

For all but one of the evaluated risk factors, cure rates for TGC-treated patients were similar to or higher than those for LEV-treated patients in both the CE and c-mITT populations (Table 2). In the CE population, the greatest differences in cure rates between treatment groups in favor of TGC were observed for patients who had diabetes mellitus or a baseline serum glucose level >13.9 mmol/L (TGC, 97.2% vs LEV, 74.4% [difference of 22.9; 95% CI, 4.8 -39.9]), followed by patients with bacteremia (TGC, 84.0% vs LEV, 70.0% [difference of 14.0; 95% CI, -13.1 - 40.6]) and prior antibiotic failure (TGC, 81.8% vs LEV, 70.0% [difference of 11.8; 95% CI, -26.3 - 40.4]). Levofloxacin-treated patients with altered mental status had a greater favorable difference in cure rate (87.5%) compared with TGC-treated patients (71.4%) (difference of -16.1; 95% CI, -58.9 - 31.0), albeit this subgroup was populated with a low number of patients. Differences in cure rates between treatment groups were smaller for the other risk factors of aged ≥65 years, multilobar disease, COPD, hypoxemia, renal insufficiency, alcohol use, WBC count >30 x 109/L or < 4 x109/L, CURB-65 score ≥2, Fine score category of III to V and the presence of at least 2 instability criteria.

Cure rates within the risk factor subgroups were more consistent with the overall cure rates for TGC-treated patients than for LEV-treated patients in the CE population. For the c-mITT population, relationship to the overall cure rate was generally similar for the 2 treatment groups. In the population of patients considered at higher risk for mortality, cure rates remained consistent with the overall cure rates and were numerically higher for TGC-treated patients than for LEV-treated patients in both the CE and c-mITT populations.

Overall, the number of deaths in the 2 studies was similar between the 2 treatment groups: 12 TGC-treated patients (2.8%) versus 11 LEV-treated patients (2.6%), with none of the adverse events resulting in death considered by the investigator to be related to study drug. Mortality rates categorized by individual risk factor were comparable between the 2 treatment groups (Table 3). In the subgroup of patients at higher risk for mortality, a similar number of deaths occurred in each treatment group (12 TGC, 10 LEV).


This exploratory analysis of 2 pivotal, phase 3, double-blind clinical trials found that among hospitalized patients with CAP, cure rates across prognostic factors known to influence clinical outcome, including age, underlying medical comorbidities, pneumonia characteristics and pneumonia severity index, were more consistent with the overall cure rate for TGC-treated patients than for LEV-treated patients in the CE population. Although overall clinical cure rates were similar between CE patients randomized to IV TGC or IV LEV (approximately 90% and 86%, respectively), patients treated with TGC had numerically higher cure rates and tended to achieve better cure rates within some risk factor subgroups. Patients treated with TGC who were considered at higher risk for mortality had numerically higher cure rates than similar patients treated with LEV.

In the CE population, the greatest difference in favor of TGC was observed for patients with a history of diabetes mellitus or high serum glucose at presentation. In this subgroup, 97% of patients with diabetes achieved clinical cure after treatment with TGC compared with 74% after treatment with LEV (difference of 22.9; 95% CI, 4.8 - 39.9). The reason for this difference and the clinical significance are unknown. A smaller difference in favor of TGC also was observed in patients with bacteremia and a history of previous antibiotic failure. Among these latter patients, clinical cure rates with TGC therapy were approximately 12% to 14% higher compared with LEV therapy, but this difference was not statistically significant. In 2 other subgroups (Fine score category of III - V and renal insufficiency) clinical cure rates were at least 8 percentage points higher following TGC therapy versus LEV therapy. It also is noteworthy that TGC-treated patients with at least 2 clinical instability criteria achieved a 90% clinical cure rate, similar to the overall cure rate, although this may just reflect the fact that patients who required hospitalization had good responses to this treatment. In the c-mITT population, differences between the 2 treatment groups were less apparent.

A retrospective analysis of elderly patients with lower respiratory tract infections confirmed that many of these risk factors are linked with a more severe and complicated disease course [7]. The exploratory analysis presented herein utilized many of these previously identified prognostic risk factors in order to assess whether clinical outcome differed following TGC therapy or LEV therapy. Our analysis revealed that, despite the presence of risk factors suggestive of more severe illness and increased risk of death, TGC therapy was clinically effective across the severity spectrum of hospitalized adult patients with CAP, often achieving higher cure rates compared with the commonly prescribed fluoroquinolone. An imbalance in all-cause mortality has been observed in the phase 3 and 4 TGC clinical program overall [25] but with substantial differences among evaluated infection types. Within the CAP trials, the number of deaths were similar in 12/424 (2.8%) and 11/422 (2.6%) in the TGC and LEV treatment groups, respectively, with no difference in all-cause mortality rate (risk difference of 0.2; 95% CI, -2.0 - 2.4) [26].

The findings of our risk factor analysis are limited, as this is a post hoc analysis of previously pooled data [19]; the original studies were not powered for comparisons between subpopulations. Most of the analyses were planned as sensitivity/exploratory rather than primary analyses. While additional studies are needed to confirm these observations, the more consistent efficacy and slightly higher cure rates of TGC therapy compared with LEV therapy across individual risk factor subgroups were notable. An additional limitation of these findings was the relatively low number of CE patients with certain risk factors (e.g., prior antibiotic failure, altered mental status), which resulted in large CIs for the treatment difference, making interpretation of the results difficult.

Severity of illness, risk of mortality and consideration of the most common causative organisms, including resistant strains, are the cornerstones of current treatment guidelines for the management of CAP and the basis on which empiric antimicrobial selection (monotherapy vs combination therapy) is suggested [1,3,17,18,27]. For hospitalized patients who do not require admission to an intensive care unit, current guidelines recommend either an extended-spectrum cephalosporin with or without an added macrolide, a beta-lactam/beta-lactamase inhibitor combination with or without an added macrolide or monotherapy with a newer fluoroquinolone [1,3,17,18,27].

Despite the plethora of antibiotics currently available, treatment of CAP in the hospitalized patient continues to be challenging, largely owing to rising resistance rates [4,6]. In an effort to optimize desired clinical response and minimize or prevent negative outcomes, a number of prognostic risk factors that significantly increase the risk of mortality have previously been identified, including male gender, hypothermia, systolic hypotension, tachypnea, diabetes mellitus, neoplastic diseases, neurologic disease, bacteremia, leukopenia and multilobar pulmonary infiltrates [9]. Based on these observations, the Fine pneumonia severity index and CURB-65 scoring system were developed to help clinicians determine the appropriate place of management based on mortality risk [11,12].


This pooled analysis provides evidence that TGC therapy was clinically effective in hospitalized patients with CAP with a number of risk factors for poor outcome, including the elderly (those aged ≥65 years) and those with varied baseline clinical presentation and comorbidities. Risk factor assessment can be used to predict clinical failure in patients with CAP and to improve the efficiency of pneumonia management. TGC therapy may be an option for the treatment of hospitalized patients with CAP, including those with risk factors for poor outcome.


ND, CAC and NC are full-time employees of Pfizer Inc. HG and DS were employees of Pfizer Inc at the time the study was conducted.


These studies and analyses were sponsored by Wyeth Research, which was acquired by Pfizer Inc in November 2009. All authors participated in the study design, analysis and interpretation of the data. Editorial support in the preparation and submission of this manuscript was provided by Hessamedin Alimohammadi of Upside Endeavors, LLC (Sanatoga) and Patricia Fonseca and Charlotte Kenreigh of UBC Scientific Solutions and was funded by Pfizer Inc. Additional statistical support was provided by Tracy Franklin of Quintiles and was funded by Pfizer Inc. The authors thank Gary Dukart (formerly of Wyeth Research) and members of the 308 and 313 Study Groups for their valuable involvement in these studies.


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