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- Hickman, Rachel A., et al.
(författare)
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Cell-wall-inhibiting antibiotic combinations with activity against multidrug-resistant Klebsiella pneumoniae and Escherichia coli
- 2014
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Ingår i: Clinical Microbiology and Infection. - : Elsevier BV. - 1198-743X .- 1469-0691. ; 20:4, s. O267-O273
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Tidskriftsartikel (refereegranskat)abstract
- The increasing prevalence of hospital and community-acquired infections caused by multidrug-resistant (MDR) bacterial pathogens is rapidly limiting the options for effective antibiotic therapy. Systematic studies on combinations of already available antibiotics that could provide an effective treatment against MDR bacteria are needed. We tested combinations of antibiotics that target one important physiological function (peptidoglycan synthesis) at several steps, and studied Enterobacteriaceae (Klebsiella pneumoniae and Escherichia coli) for which multidrug resistance associated with ESBL-producing plasmids has become a major problem. To measure the effectiveness of antibiotics alone and in combination, we used checkerboard assays, static antibiotic concentration time-kill assays, and an improved in-vitro kinetic model that simulates human pharmacokinetics of multiple simultaneously administered antibiotics. The target strains included an MDR K. pneumoniae isolate responsible for a recent major hospital outbreak. A double combination (fosfomycin and aztreonam) and a triple combination (fosfomycin, aztreonam and mecillinam) were both highly effective in reducing bacterial populations in all assays, including the in vitro kinetic model. These combinations were effective even though each of the MDR strains was resistant to aztreonam alone. Our results provide an initial validation of the potential usefulness of a combination of antibiotics targeting peptidoglycan synthesis in the treatment of MDR Gram-negative bacteria. We suggest that a combination of fosfomycin with aztreonam could become a useful treatment option for such infections and should be further studied.
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| 3. |
- Byberg, Liisa, et al.
(författare)
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Prediction of fracture risk in men : A cohort study
- 2012
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Ingår i: Journal of Bone and Mineral Research. - : Wiley. - 0884-0431 .- 1523-4681. ; 27:4, s. 797-807
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Tidskriftsartikel (refereegranskat)abstract
- FRAX is a tool that identifies individuals with high fracture risk who will benefit from pharmacological treatment of osteoporosis. However, a majority of fractures among elderly occur in people without osteoporosis and most occur after a fall. Our aim was to accurately identify men with a high future risk of fracture, independent of cause. In the population-based Uppsala Longitudinal Study of Adult Men (ULSAM) and using survival analysis we studied different models' prognostic values (R(2) ) for any fracture and hip fracture within 10 years from age 50 (n = 2322), 60 (n = 1852), 71 (n = 1221), and 82 (n = 526). During the total follow-up period from age 50, 897 fractures occurred in 585 individuals. Of these, 281 were hip fractures occurring in 189 individuals. The rates of any fracture were 5.7/1000 person-years at risk from age 50 and 25.9/1000 person-years at risk from age 82. Corresponding hip fractures rates were 2.9 and 11.7/1000 person-years at risk. The FRAX model included all variables in FRAX except bone mineral density. The full model combining FRAX variables, comorbidity, medications, and behavioral factors explained 25-45% of all fractures and 80-92% of hip fractures, depending on age. The corresponding prognostic values of the FRAX model were 7-17% for all fractures and 41-60% for hip fractures. Net reclassification improvement (NRI) comparing the full model with the FRAX model ranged between 40 and 53% for any fracture and between 40 and 87% for hip fracture. Within the highest quintile of predicted fracture risk with the full model, 1/3 of the men will have a fracture within 10 years after age 71 years and 2/3 after age 82 years. We conclude that the addition of comorbidity, medication and behavioral factors to the clinical components of FRAX can substantially improve the ability to identify men at high risk of fracture, especially hip fracture.
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| 4. |
- Cars, Thomas, et al.
(författare)
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A framework for monitoring of new drugs in Sweden
- 2019
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Ingår i: Upsala Journal of Medical Sciences. - : TAYLOR & FRANCIS LTD. - 0300-9734 .- 2000-1967. ; 124:1, s. 46-50
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Tidskriftsartikel (refereegranskat)abstract
- In order to monitor the net public health benefit of new drugs, especially in the light of recent stepwise approval approaches, there is a need to optimize real-time post-marketing evaluation of new drugs using data collected in routine care. Sweden, with its unique possibilities for observational research, can provide these data. We herein propose a framework for continuous monitoring of the effectiveness, safety, and cost-effectiveness of new drugs, using prospectively determined protocols designed in collaboration between all relevant stakeholders. We believe that this framework can be a useful tool for healthcare authorities and reimbursement agencies in the introduction of new drugs.
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| 9. |
- Cars, Thomas, et al.
(författare)
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Effectiveness of Drugs in Routine Care : A Model for Sequential Monitoring of New Medicines Using Dronedarone as Example
- 2018
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Ingår i: Clinical Pharmacology and Therapeutics. - : WILEY. - 0009-9236 .- 1532-6535. ; 103:3, s. 493-501
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Tidskriftsartikel (refereegranskat)abstract
- Although there is no doubt about the scientific value of randomized controlled clinical trials, they are usually conducted in selected populations different fromthose treated in clinical practice. Therefore, it is important to optimize real-time post-marketing evaluation of the effectiveness, safety, and cost of new drugs. Using electronic health records and administrative health databases froma well-defined region with universal access to healthcare, we have built a framework for real-time sequential monitoring of the effectiveness of newly marketed drugs in routine care. We chose the antiarrhythmic agent dronedarone as the study drug and flecainide as the comparator drug for illustration of the model. We demonstrate that this model produces consistent results with increasing precision over time as data accumulates in the clinical systems. We believe that use of this model at the introduction of new drugs can provide complementary evidence, especially in settings of adaptive licensing of new drugs.
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| 10. |
- Cars, Thomas, et al.
(författare)
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Extraction of Electronic Health Record Data in a Hospital Setting : Comparison of Automatic and Semi-Automatic Methods Using Anti-TNF Therapy as Model
- 2013
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Ingår i: Basic & Clinical Pharmacology & Toxicology. - : Wiley. - 1742-7835 .- 1742-7843. ; 112:6, s. 392-400
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Tidskriftsartikel (refereegranskat)abstract
- There is limited experience and methods for extractions of drug therapy data from electronic health records (EHR) in the hospital setting. We have therefore developed and evaluated completeness and consistency of an automatic versus a semi-automatic extraction procedure applied on prescribing and administration of the TNF inhibitor infliximab using a hospital EHR system in Karolinska University Hospital, Sweden. Using two different extraction methods (automatic and semi-automatic), all administered infusions of infliximab between 2007 and 2010 were extracted from a database linked to the EHR system. Extracted data included encrypted personal identity number (PIN), date of birth, sex, time of prescription/administration, healthcare units, prescribed/administered dose and time of admission/discharge. The primary diagnosis (ICD-10) for the treatment with infliximab was extracted by linking infliximab infusions to their corresponding treatment episode. A total of 13,590 infusions of infliximab were administered during the period of 2007 to 2010. Of those were 13,531 (99.6%) possible to link to a corresponding treatment episode, and a primary diagnosis was extracted for 13,530 infusions. Information on encrypted PIN, date of birth, time of prescription/administration, time of admission/discharge and healthcare unit was complete. Information about sex was missing in one patient only. Calculable information about dosage was extracted for 13,300 (98.3%) of all linked infusions. This methodological study showed the potential to extract drug therapy data in a hospital setting. The semi-automatic procedure produced an almost complete pattern of demographics, diagnoses and dosages for the treatment with infliximab.
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