Literature DB >> 28464828

Analysis of patients with diabetes and complicated intra-abdominal infection or complicated urinary tract infection in phase 3 trials of ceftolozane/tazobactam.

Myra W Popejoy1, Jianmin Long2, Jennifer A Huntington2.   

Abstract

BACKGROUND: Diabetes mellitus and hyperglycemia are associated with increased susceptibility to bacterial infections and poor treatment outcomes. This post hoc evaluation of the treatment of complicated intra-abdominal infections (cIAI) and complicated urinary tract infections (cUTI) aimed to evaluate baseline characteristics, efficacy, and safety in patients with and without diabetes treated with ceftolozane/tazobactam and comparators. Ceftolozane/tazobactam is an antibacterial with potent activity against Gram-negative pathogens and is approved for the treatment of cIAI (with metronidazole) and cUTI (including pyelonephritis).
METHODS: Patients from the phase 3 ASPECT studies with (n = 245) and without (n = 1802) diabetes were compared to evaluate the baseline characteristics, efficacy, and safety of ceftolozane/tazobactam and active comparators.
RESULTS: Significantly more patients with than without diabetes were 65 years of age or older; patients with diabetes were also more likely to weigh ≥75 kg at baseline (57.1% vs 44.5%), to have renal impairment (48.5% vs 30.2%), or to have APACHE II scores ≥10 (33.8% vs 17.0%). More patients with diabetes had comorbidities and an increased incidence of complicating factors in both cIAI and cUTI. Clinical cIAI and composite cure cUTI rates across study treatments were lower in patients with than without diabetes (cIAI, 75.4% vs 86.1%, P = 0.0196; cUTI, 62.4% vs 74.7%, P = 0.1299) but were generally similar between the ceftolozane/tazobactam and active comparator treatment groups. However, significantly higher composite cure rates were reported with ceftolozane/tazobactam than with levofloxacin in patients without diabetes with cUTI (79.5% vs 69.9%; P = 0.0048). Significantly higher rates of adverse events observed in patients with diabetes were likely due to comorbidities because treatment-related adverse events were similar between groups.
CONCLUSIONS: In this post hoc analysis, patients with diabetes in general were older, heavier, and had a greater number of complicating comorbidities. Patients with diabetes had lower cure rates and a significantly higher frequency of adverse events than patients without diabetes, likely because of the higher rates of medical complications in this subgroup. Ceftolozane/tazobactam was shown to be at least as effective as comparators in treating cUTI and cIAI in this population. TRIAL REGISTRATION: cIAI, NCT01445665 and NCT01445678 (both trials registered prospectively on September 26, 2011); cUTI, NCT01345929 and NCT01345955 (both trials registered prospectively on April 28, 2011).

Entities:  

Keywords:  Ceftolozane/tazobactam; Complicated intra-abdominal infections; Complicated urinary tract infections; Diabetes mellitus

Mesh:

Substances:

Year:  2017        PMID: 28464828      PMCID: PMC5414364          DOI: 10.1186/s12879-017-2414-9

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

In recent decades, the incidence and prevalence of diabetes have increased rapidly [1], with recent studies estimating that 422 million people worldwide are affected [2]. In addition to the burden directly imposed by the condition, patients with diabetes mellitus and hyperglycemia have been shown to have increased susceptibility to bacterial infections and poor outcomes, including increased risk for hospitalization, reduced cure rates, and increased mortality due to infection [3, 4]. Furthermore, patients with diabetes commonly have comorbidities that may further affect their response to treatment; for example, both cardiovascular disease and chronic kidney disease appear to be predictors of lengthened hospital stay and infection-related mortality [5-7]. Ceftolozane/tazobactam, an antibacterial with potent activity against Gram-negative pathogens [8, 9], is approved by the US Food and Drug Administration and the European Medicines Agency for the treatment of patients with complicated intra-abdominal infections (cIAI) when used in combination with metronidazole and for the treatment of patients with complicated urinary tract infections (cUTI), including pyelonephritis [10, 11]. Ceftolozane/tazobactam was studied in a large phase 3 clinical trial program (Assessment of the Safety Profile and Efficacy of Ceftolozane/Tazobactam [ASPECT]) in patients with cIAI or cUTI. In ASPECT-cIAI (NCT01445665 and NCT01445678), ceftolozane/tazobactam plus metronidazole was noninferior to meropenem in patients with cIAI [12]. In ASPECT-cUTI (NCT01345929 and NCT01345955), ceftolozane/tazobactam demonstrated efficacy superior to that of high-dose levofloxacin in patients with cUTI [13]. Herein we present a post hoc investigation of baseline characteristics, efficacy, and safety from patients with or without a reported medical history of diabetes in the phase 3 ASPECT trials. The aims of this evaluation were to examine the baseline characteristics of patients with and without diabetes who were enrolled in the ASPECT trials and to assess whether ceftolozane/tazobactam was safe and effective in treating cIAI and cUTI in patients with diabetes.

Methods

Study design

Two multicenter, multinational, randomized (1:1 ratio), double-blind, noninferiority trials were conducted from 2011 to 2013 (Merck protocols: CXA-cIAI-10-08, CXA-cIAI-10-09, CXA-cUTI-10-04, and CXA-cUTI-10-05). Studies were conducted in accordance with the principles of Good Clinical Practice and were approved by the appropriate institutional review boards and regulatory agencies [12, 13]. In ASPECT-cIAI, adults with cIAI in need of surgical intervention were assigned to receive intravenous (IV) ceftolozane/tazobactam 1.5 g plus metronidazole 500 mg every 8 h (q8h) or IV meropenem 1 g plus placebo q8h for 4 to 14 days. In ASPECT-cUTI, adults with cUTI (including pyelonephritis) were assigned to receive IV ceftolozane/tazobactam 1.5 g q8h or IV levofloxacin 750 mg/day for 7 days.

Patients

Patients enrolled in the trials were classified into subgroups with and without diabetes, based on their reported medical history, and all analyses were evaluated between these two subgroups. Baseline demographics and characteristics were recorded descriptively. Between-group differences were determined, and statistical significance was calculated using the Miettinen and Nurminen method [14].

Efficacy assessments

In ASPECT-cIAI, clinical cure, defined as complete resolution or significant improvement in signs and symptoms of index infection with no additional antibiotics or surgical intervention, was assessed at the test-of-cure (TOC) visit (24–32 days after study drug start). In ASPECT-cUTI, composite cure, defined as both clinical cure (complete resolution or significant improvement in all signs and symptoms) and microbiologic eradication (reduction in all baseline uropathogens to <104 CFU/mL in urine culture) was assessed at the TOC visit (5–9 days after the end of therapy). For this analysis, clinical cure and composite cure rates were compared between patients with and without diabetes, with indeterminate responses imputed as clinical failures, and Wilson score intervals were used to calculate confidence intervals.

Safety assessments

Safety and tolerability were assessed by recording adverse events (AEs). AEs were categorized by the investigator as treatment related (possibly, probably, or definitely) or not treatment related. Data were recorded descriptively. Between-group differences were determined, and statistical significance was calculated using the Miettinen and Nurminen method [14].

Analysis populations

The cIAI microbiologic intention-to-treat population included all randomly assigned patients with cIAI with ≥1 baseline intra-abdominal pathogen regardless of receipt of, or susceptibility to, study drug. The cUTI microbiologic modified intention-to-treat population included all randomly assigned patients with cUTI with ≥1 dose of study drug and ≥1 uropathogen at baseline, regardless of susceptibility to study drug. The integrated safety population included all patients with cIAI or cUTI who received any amount of study drug.

Results

Patient population and disposition

The pooled analysis population comprised 979 patients from ASPECT-cIAI and 1068 patients from ASPECT-cUTI [12, 13], including 245 patients with diabetes and 1802 without diabetes. Patient disposition is shown in Table 1. Patient groups (with diabetes and without diabetes) had similar rates of study completion and study drug completion and similar reasons for discontinuation. In ASPECT-cUTI, negative/contaminated urine culture (12.1% and 18.8%, respectively) was the most common reason for early discontinuation of study drug, which was required per protocol.
Table 1

Patient disposition (safety population)

Disposition, n (%)Diabetes n = 245No diabetes n = 1802
Patients completing the studies230 (93.9)1726 (95.8)
Most common reasons for premature withdrawal from the study
 AEs5 (2.0)16 (0.9)
 Patient’s decision6 (2.4)29 (1.4)
Patients completing study drug200 (81.6)1528 (84.8)
Most common reasons for discontinuing study drug
 AEs8 (3.3)32 (1.8)
 Patient’s decision7 (2.8)36 (2.0)
 Lack of efficacy5 (2.0)11 (0.6)

AE adverse event

Patient disposition (safety population) AE adverse event

Baseline characteristics

Baseline demographics and disease characteristics are reported in Table 2. In the subgroups with and without diabetes, most patients were white, and slightly more women than men were included. Patients were evenly distributed between treatment arms in the subgroups with and without diabetes (data not shown).
Table 2

Patient demographics and disease characteristics at baseline (MITT/cIAI population and mMITT/cUTI population)

ParameterDiabetes n = 198No diabetes n = 1408Differencea; P value
cIAI, n (%)65 (32.8)741 (52.6)
cUTI, n (%)133 (67.2)667 (47.4)
Sex, n (%)
 Male73 (36.9)601 (42.7)5.8; 0.12061
 Female125 (63.1)807 (57.3)−5.8; 0.12061
Age, years
 Mean (SD)60 (13.9)48 (18.9)
  ≥ 18–<65, n (%)123 (62.1)1099 (78.1)15.9; <0.00001
  ≥ 65–<75, n (%)46 (23.2)166 (11.8)−11.4; <0.00001
  > 75, n (%)29 (14.6)143 (10.2)−4.5; 0.05581
Race, n (%)
 White159 (80.3)1282 (91.1)10.7; <0.00001
 Black0 (0.0)17 (1.2)1.2; 0.12020
 Asian30 (15.2)64 (4.5)−10.6; <0.00001
 Other9 (4.5)45 (3.2)−1.4; 0.29496
Geographic region, n (%)
 North America17 (8.6)59 (4.2)−4.4; 0.00640
 South America26 (13.1)127 (9.0)−4.1; 0.06511
 Western Europe3 (1.5)27 (1.9)0.4; 0.69541
 Eastern Europe118 (59.6)1095 (77.8)18.2; <0.00001
 Rest of world34 (17.2)100 (7.1)−10.1; <0.00001
Weight, kg
 Mean (SD)79 (17.2)74 (17.2)−5.28; 0.00003
  ≥ 75 kg, n (%)113 (57.1)627 (44.5)−12.5; 0.00092
BMI, kg/m2, mean (SD)29 (5.8)26 (5.4)−3.24; <0.00001
APACHE II score (cIAI), N b 65740
  < 10, n (%)43 (66.2)614 (83.0)−16.8; <0.0008
  ≥ 10, n (%)22 (33.8)126 (17.0)
Baseline creatinine clearance, n (%)
 Missing1 (0.5)0 (0.0)
 Normal, ≥80 mL/min101 (51.0)983 (69.8)18.8; <0.00001
 Impairment, <80 mL/min96 (48.5)425 (30.2)
  Mild, ≥50 to <80 mL/min64 (32.2)359 (25.5)−6.8; 0.04123
  Moderate, ≥30 to <50 mL/min31 (15.7)63 (4.5)−11.2; <0.00001
  Severe, <30 mL/min1 (0.5)3 (0.2)−0.3; 0.44038
Disease type, n (%)c
 cIAI, N 65741
  Acute gastric or duodenal perforation4 (6.2)67 (9.0)2.9; 0.43116
  Appendiceal perforation or periappendiceal abscess14 (21.5)364 (49.1)27.6; 0.00002
  Cholecystitis, including gangrenous21 (32.3)120 (16.2)−16.1; 0.00105
  Diverticular disease with perforation or abscess8 (12.3)57 (7.7)−4.6; 0.19036
  Traumatic perforation of the intestine0 (0.0)12 (1.6)1.6; 0.30158
  Peritonitis8 (12.3)66 (8.9)−3.4; 0.36290
  Other intra-abdominal abscess10 (15.4)55 (7.4)−8.0; 0.02388
 cUTI, N 133667
  Pyelonephritis106 (79.7)550 (82.5)2.8; 0.44971
  cLUTI27 (20.3)117 (17.5)−2.8; 0.44971
  Treatment group, n (%)c
 cIAI, N 65741
  Ceftolozane/tazobactam + metronidazole32 (49.2)357 (48.2)−1.1; 0.87072
  Meropenem33 (50.8)384 (51.8)1.1; 0.87072
 cUTI, N 133667
  Ceftolozane/tazobactam67 (50.4)331 (49.6)−0.8; 0.87444
  Levofloxacin66 (49.6)336 (50.4)0.8; 0.87444

APACHE II Acute Physiology and Chronic Health Evaluation II, BMI body mass index, cIAI complicated intra-abdominal infection, cLUTI complicated lower urinary tract infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT modified microbiologic intention-to-treat, SD standard deviation

aPercentage difference calculated for patients with history of diabetes versus those with no history of diabetes

bExpressed as a percentage of the patients with or without diabetes in the cIAI population only

cExpressed as a percentage of the patients with or without diabetes in the cIAI or cUTI population

Patient demographics and disease characteristics at baseline (MITT/cIAI population and mMITT/cUTI population) APACHE II Acute Physiology and Chronic Health Evaluation II, BMI body mass index, cIAI complicated intra-abdominal infection, cLUTI complicated lower urinary tract infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT modified microbiologic intention-to-treat, SD standard deviation aPercentage difference calculated for patients with history of diabetes versus those with no history of diabetes bExpressed as a percentage of the patients with or without diabetes in the cIAI population only cExpressed as a percentage of the patients with or without diabetes in the cIAI or cUTI population Notable differences between patients with and without diabetes included age, weight, race, and comorbidities (Table 2). Significantly more patients with than without diabetes were 65 years of age or older; patients with diabetes were also significantly more likely (57.1%) to weigh ≥75 kg at baseline than those without diabetes (44.5%). In addition, there was a significantly higher proportion of Asian patients in the subgroup with diabetes than in the subgroup without diabetes. As expected, renal impairment was more common in the subgroup with diabetes (48.5%) than in the subgroup without it (30.2%); 15.7% of patients with diabetes had moderate renal impairment compared with 4.5% of patients without diabetes. In cIAI, a significantly higher percentage of patients with diabetes had Acute Physiologic Assessment and Chronic Health Evaluation II scores ≥10 (33.8% vs 17.0% in patients without diabetes), potentially driven by older age and decreased renal function. Additionally, cholecystitis was significantly more common in patients with diabetes; appendiceal infections were significantly more common in patients without diabetes. A summary of medical history ongoing at baseline is shown in Table 3. As expected, cardiac, endocrine, and eye disorders were reported at significantly higher incidences in the subgroup with diabetes. For cardiac disorders, the major driver of the difference between patients with and without diabetes was coronary artery disorders (17.2% vs 7.6%); for eye disorders, the major driver was diabetic retinopathy (4.5% vs 0%).
Table 3

Medical history ongoing at baseline (MITT/cIAI population and mMITT/cUTI population)

System organ class, n (%)a DiabetesNo diabetesDifferenceb;
 Preferred term n = 198 n = 1408 P value
Cardiac disorders50 (25.3)177 (12.6)−12.7; <0.00001
 Coronary artery disorders34 (17.2)107 (7.6)−9.6; <0.00001
 Heart failures15 (7.6)39 (2.8)−4.8; 0.00045
Endocrine disorders17 (8.6)57 (4.0)−4.5; 0.00436
 Hypothyroidism14 (7.1)41 (2.9)−4.2; 0.00260
Eye disorders14 (7.1)33 (2.3)−4.7; 0.00022
 Diabetic retinopathy9 (4.5)0−4.5; <0.00001
Hepatobiliary disorders21 (10.6)82 (5.8)−4.8; 0.01014
 Hepatic and hepatobiliary disorders13 (6.6)30 (2.1)−4.4; 0.00030
Infections and infestations55 (27.8)228 (16.2)−11.6; 0.00006
 Urinary tract infections35 (17.7)119 (8.5)−9.2; 0.00004
 Viral infectious disorders10 (5.1)25 (1.8)−3.3; 0.00313
Metabolism and nutrition disorders198 (100.0)166 (11.8)−88.2; <0.00001
 Glucose metabolism disorders, including diabetes198 (100.0)16 (1.1)−98.9; <0.00001
 Lipid metabolism disorders31 (15.7)62 (4.4)−11.3; <0.00001
 Obesity13 (6.6)37 (2.6)−3.9; 0.00282
Musculoskeletal and connective tissue disorders32 (16.2)114 (8.1)−8.1; 0.00022
 Joint disorders23 (11.6)64 (4.5)−7.1; 0.00004
Nervous system disorders34 (17.2)99 (7.0)−10.1; <0.00001
 Peripheral neuropathies17 (8.6)1 (0.1)−8.5; <0.00001
Psychiatric disorders22 (11.1)79 (5.6)−5.5; 0.00284
 Depressive disorders13 (6.6)33 (2.3)−4.2; 0.00086
Renal and urinary disorders67 (33.8)245 (17.4)−16.4; <0.00001
 Chronic kidney disease17 (8.6)19 (1.3)−7.2; <0.00001
 Diabetic nephropathy12 (6.1)0 (0.0)−6.1; <0.00001
 Urolithiases22 (11.1)81 (5.8)−5.4; 0.00397
Respiratory, thoracic, and mediastinal disorders28 (14.1)87 (6.2)−8.0; 0.00005
 Bronchospasm and obstruction17 (8.6)49 (3.5)−5.1; 0.0007
Vascular disorders140 (70.7)390 (27.7)−43.0; <0.00001
 Hypertension131 (66.2)342 (24.3)−41.9; <0.00001

cIAI complicated intra-abdominal infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT modified microbiologic intention-to-treat

aOnly preferred terms with differences in rates between patients with and without diabetes are presented

bPercentage difference calculated for patients with history of diabetes compared with those with no history of diabetes

Medical history ongoing at baseline (MITT/cIAI population and mMITT/cUTI population) cIAI complicated intra-abdominal infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT modified microbiologic intention-to-treat aOnly preferred terms with differences in rates between patients with and without diabetes are presented bPercentage difference calculated for patients with history of diabetes compared with those with no history of diabetes Significantly higher incidences of renal diseases and complications were also associated with diabetes, particularly chronic kidney disease (8.6% in patients with diabetes vs 1.3% in patients without diabetes) and diabetic nephropathy (6.1% vs 0%). The significantly higher incidence of vascular disorders in patients with diabetes (70.7% vs 27.7% in patients without diabetes) was largely driven by the incidence of hypertension (66.2% vs 24.3%). Patients with diabetes also had significantly more ongoing infections and more hepatic, nervous system, and respiratory disorders. Bacteriology findings across subgroups with and without diabetes were generally similar within each indication (cUTI and cIAI; Table 4). Escherichia coli was the most common pathogen in both indications and subpopulations.
Table 4

Baseline infecting intra-abdominal pathogens and uropathogens (MITT/cIAI population and mMITT/cUTI population)

Pathogen,a n (%)cIAIcUTI
Diabetes n = 65No diabetes n = 741Diabetes n = 133No diabetes n = 667
Gram-negative aerobes46 (70.8)613 (82.7)127 (95.5)637 (95.5)
 Enterobacteriaceae45 (69.2)577 (77.9)126 (94.7)613 (91.9)
   Escherichia coli 37 (56.9)488 (65.9)99 (74.4)530 (79.5)
   Klebsiella pneumoniae 0 (0.0)70 (9.4)14 (10.5)44 (6.6)
Pseudomonas aeruginosa 0 (0.0)68 (9.2)1 (0.8)22 (3.3)
Gram-positive aerobes38 (58.5)406 (54.8)6 (4.5)42 (6.3)
Enterococcus faecalis 16 (24.6)79 (10.7)4 (3.0)34 (5.1)
E. faecium 0 (0.0)74 (10.0)0 (0.0)5 (0.7)
Staphylococcus aureus 0 (0.0)27 (3.6)2 (1.5)4 (0.6)
Gram-negative anaerobes24 (36.9)267 (36.0)0 (0.0)NA
Bacteroides spp23 (35.4)228 (30.8)0 (0.0)NA
Gram-positive anaerobes7 (10.8)92 (12.4)0 (0.0)NA

cIAI complicated intra-abdominal infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT microbiologic modified intention-to-treat, NA, not applicable

aPatients could have had multiple infecting pathogens at baseline

Baseline infecting intra-abdominal pathogens and uropathogens (MITT/cIAI population and mMITT/cUTI population) cIAI complicated intra-abdominal infection, cUTI complicated urinary tract infection, MITT microbiologic intention-to-treat, mMITT microbiologic modified intention-to-treat, NA, not applicable aPatients could have had multiple infecting pathogens at baseline

Efficacy

In general, patients with diabetes had lower cure rates than patients without diabetes (cIAI, 75.4% vs 86.1%, P = 0.0196; cUTI, 62.4% vs 74.7%, P = 0.1299 [Fig. 1a]). However, cure rates were similar between treatment arms in both indications (Fig. 1b, c), with the exception of significantly higher composite cure rates for ceftolozane/tazobactam than for levofloxacin (79.5% vs 69.9%, P = 0.0048) in patients with cUTI but without diabetes (Fig. 1c).
Fig. 1

Clinical cure (cIAI) and composite cure (cUTI) in patients with and without diabetes at test-of-cure in cIAI (MITT population) and cUTI (mMITT population) (a). Clinical cure at test-of-cure in cIAI (MITT population) (b). Composite cure at test-of-cure in cUTI (mMITT population) (c). Values above brackets indicate treatment difference (95% confidence intervals)

Clinical cure (cIAI) and composite cure (cUTI) in patients with and without diabetes at test-of-cure in cIAI (MITT population) and cUTI (mMITT population) (a). Clinical cure at test-of-cure in cIAI (MITT population) (b). Composite cure at test-of-cure in cUTI (mMITT population) (c). Values above brackets indicate treatment difference (95% confidence intervals)

Safety

Patients with diabetes had significantly higher rates of AEs (49.0% vs 37.3%) and serious AEs (10.6% vs 4.6%) than patients without diabetes (Table 5). However, rates of treatment-related AEs were similar between patients with and without diabetes (8.2% vs 10.1%, respectively), suggesting comorbidities were responsible for differences in AE rates. Types of AEs were generally similar between patient subpopulations, but the incidences of infections and vascular disorders were significantly higher in patients with diabetes.
Table 5

Summary of AEs (safety population)

Parameter, n (%)Diabetes n = 245No diabetes n = 1802 P valuea
Any AE120 (49.0)673 (37.3)0.00046
Any serious AE26 (10.6)82 (4.6)0.00007
Any treatment-related AE20 (8.2)182 (10.1)0.34038
Any treatment-related serious AE0 (0.0)4 (0.2)0.46052
Any AE leading to discontinuation of study drug8 (3.3)32 (1.8)0.11411
Any treatment-related AE leading to discontinuation of study drug3 (1.2)13 (0.7)0.40162
Any AE resulting in death6 (2.4)14 (0.8)0.01256
Any treatment-related AE resulting in death0 (0.0)0 (0.0)1.00000
System organ class AEs with significant difference between groups
 Infections and infestations29 (11.8)137 (7.6)0.02277
  Differencea (95% CI)−4.2 (−9.0, −0.5)
 Vascular disorders18 (7.3)69 (3.8)0.01046
  Differencea (95% CI)−3.5 (−7.6, −0.7)

AE adverse event, CI confidence interval

aCalculated for patients with diabetes compared with those without diabetes

Summary of AEs (safety population) AE adverse event, CI confidence interval aCalculated for patients with diabetes compared with those without diabetes

Discussion

In this post hoc analysis of patients with or without a reported medical history of diabetes in the phase 3 ASPECT trials, we have shown that older age, increased weight, and renal impairment are more common in patients with diabetes than in patients without diabetes. In addition, more patients with diabetes had comorbidities and an increased incidence of complicating factors in both cUTI and cIAI, with cardiac, endocrine, and eye disorders reported at significantly higher incidences in the subgroup with diabetes. It has been reported that patients with diabetes are more susceptible to infections and associated complications because of a variety of factors, including but not limited to lower production of interleukins in response to infection and increased virulence of some pathogens in hyperglycemic environments [15]. In our analysis, clinical and composite cure rates were shown to be lower in patients with diabetes but were generally similar between treatment groups, with the exception of significantly higher composite cure rates in ASPECT-cUTI for ceftolozane/tazobactam than for levofloxacin in patients without diabetes. Rates of AEs were also significantly higher in patients with diabetes but were comparable between treatment groups. Overall, the results of this subgroup analysis confirm previous findings in the published literature demonstrating that diabetes increases the risk for poor clinical outcomes and mortality from infectious disease [3, 16–19]. We can postulate that the high levels of complications (including renal and cardiac disorders and additional ongoing infections) in the patient subgroup with diabetes are likely to have had a negative impact on treatment outcomes and that higher rates of AEs in patients with diabetes were also likely due to comorbidities. This analysis has several limitations, including the post hoc nature of the calculations, which prohibited any statistical significance surrounding the conclusions. Given that the population with diabetes was not prespecified but was defined post hoc based on medical history, the results are contingent on the accuracy of the data reporting and could be confounded by overestimation or underestimation of this patient subgroup. Furthermore, the patient population in the ASPECT studies may not be reflective of the variety of patients seen in clinical practice. Finally, it must be noted that the correlations seen between AE rates, complicating factors, and poorer outcomes among patients with diabetes may be confounded by other unmeasured factors.

Conclusions

In this post hoc analysis of two phase 3 studies in patients with cIAI and cUTI, baseline factors associated with diabetes included older age, increased weight, and complicating medical factors. Diabetes was associated with lower cure rates and significantly higher AE rates, likely because of the presence of comorbidities. Despite this, ceftolozane/tazobactam was as effective as comparators in treating cUTI and cIAI in patients with diabetes—a population at increased risk for infections and poor clinical outcomes.
  16 in total

1.  Ceftolozane-tazobactam compared with levofloxacin in the treatment of complicated urinary-tract infections, including pyelonephritis: a randomised, double-blind, phase 3 trial (ASPECT-cUTI).

Authors:  Florian M Wagenlehner; Obiamiwe Umeh; Judith Steenbergen; Guojun Yuan; Rabih O Darouiche
Journal:  Lancet       Date:  2015-04-27       Impact factor: 79.321

2.  Effects of age and diabetes mellitus on clinical outcomes in patients with peritoneal dialysis-related peritonitis.

Authors:  Chia-Chi Tsai; Jie-Jen Lee; Tsang-Pai Liu; Wen-Ching Ko; Chih-Jen Wu; Chi-Feng Pan; Shih-Ping Cheng
Journal:  Surg Infect (Larchmt)       Date:  2013-10-11       Impact factor: 2.150

3.  Risk factors for a poor outcome after therapy for acute pyelonephritis.

Authors:  Peter E Pertel; Daniel Haverstock
Journal:  BJU Int       Date:  2006-07       Impact factor: 5.588

4.  Chronic kidney disease and risk of death from infection.

Authors:  Henry E Wang; Christopher Gamboa; David G Warnock; Paul Muntner
Journal:  Am J Nephrol       Date:  2011-08-22       Impact factor: 3.754

5.  Comparative analysis of two rates.

Authors:  O Miettinen; M Nurminen
Journal:  Stat Med       Date:  1985 Apr-Jun       Impact factor: 2.373

6.  Influence of diabetes and hyperglycaemia on infectious disease hospitalisation and outcome.

Authors:  T Benfield; J S Jensen; B G Nordestgaard
Journal:  Diabetologia       Date:  2006-12-23       Impact factor: 10.122

7.  Prevalence and incidence trends for diagnosed diabetes among adults aged 20 to 79 years, United States, 1980-2012.

Authors:  Linda S Geiss; Jing Wang; Yiling J Cheng; Theodore J Thompson; Lawrence Barker; Yanfeng Li; Ann L Albright; Edward W Gregg
Journal:  JAMA       Date:  2014-09-24       Impact factor: 56.272

8.  Infections in patients with diabetes mellitus: A review of pathogenesis.

Authors:  Juliana Casqueiro; Janine Casqueiro; Cresio Alves
Journal:  Indian J Endocrinol Metab       Date:  2012-03

9.  Ceftolozane/Tazobactam Plus Metronidazole for Complicated Intra-abdominal Infections in an Era of Multidrug Resistance: Results From a Randomized, Double-Blind, Phase 3 Trial (ASPECT-cIAI).

Authors:  Joseph Solomkin; Ellie Hershberger; Benjamin Miller; Myra Popejoy; Ian Friedland; Judith Steenbergen; Minjung Yoon; Sylva Collins; Guojun Yuan; Philip S Barie; Christian Eckmann
Journal:  Clin Infect Dis       Date:  2015-02-10       Impact factor: 9.079

10.  Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants.

Authors: 
Journal:  Lancet       Date:  2016-04-06       Impact factor: 79.321

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Review 1.  New β-Lactam-β-Lactamase Inhibitor Combinations.

Authors:  Dafna Yahav; Christian G Giske; Alise Grāmatniece; Henrietta Abodakpi; Vincent H Tam; Leonard Leibovici
Journal:  Clin Microbiol Rev       Date:  2020-11-11       Impact factor: 26.132

2.  A Novel Nomogram for Predicting Postsurgical Intra-abdominal Infection in Gastric Cancer Patients: a Prospective Study.

Authors:  Chen-Chen Mao; Xiao-Dong Chen; Ji Lin; Wei-Shan Zhu-Ge; Zhong-Dong Xie; Xi-Yi Chen; Feng-Min Zhang; Rui-Sen Wu; Wei-Teng Zhang; Neng Lou; Li Shi; Guan-Bao Zhu; Xian Shen
Journal:  J Gastrointest Surg       Date:  2018-01-12       Impact factor: 3.452

3.  Effect of high glucose on cytokine production by human peripheral blood immune cells and type I interferon signaling in monocytes: Implications for the role of hyperglycemia in the diabetes inflammatory process and host defense against infection.

Authors:  Ronghua Hu; Chang-Qing Xia; Edward Butfiloski; Michael Clare-Salzler
Journal:  Clin Immunol       Date:  2018-06-09       Impact factor: 3.969

4.  Clinical effectiveness of beta-lactams versus fluoroquinolones as empirical therapy in patients with diabetes mellitus hospitalized for urinary tract infections: A retrospective cohort study.

Authors:  Yu-Hsin Tang; Po-Liang Lu; Ho-Yin Huang; Ying-Chi Lin
Journal:  PLoS One       Date:  2022-03-31       Impact factor: 3.240

5.  Potentially preventable urinary tract infection in patients with type 2 diabetes - A hospital-based study.

Authors:  Maria Cristina Carrondo; Joaquim Jorge Moita
Journal:  Obes Med       Date:  2020-01-28
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