Publications by authors named "J M Lipman"

Patient-specific flanged acetabular components are utilized to treat failed total hip arthroplasties with severe acetabular defects. We previously developed and published a finite element model that investigated the impact of hip joint center lateralization on construct biomechanics during gait conditions. This model consisted of a patient-specific implant designed to address a superior-medial defect created in a standard pelvic geometry.

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Background And Objectives: The pharmacokinetics (PK) of piperacillin/tazobactam (PIP/TAZ) is highly variable across different patient populations and there are controversies regarding non-linear elimination as well as the fraction unbound of PIP (f). This has led to a plethora of subgroup-specific models, increasing the risk of misusing published models when optimising dosing regimens. In this study, we aimed to develop a single model to simultaneously describe the PK of PIP/TAZ in diverse patient populations and evaluate the current dosing recommendations by predicting the PK/pharmacodynamics (PD) target attainment throughout life.

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Article Synopsis
  • Ventriculitis in critically ill neurocritical care patients increases the risk of complications and death, prompting a need for improved antibiotic dosing strategies.
  • The study aimed to create a population pharmacokinetic (PK) model for piperacillin-tazobactam (PTZ) by analyzing samples from neurosurgical patients to determine effective dosing for cerebrospinal fluid (CSF) treatment.
  • Results showed significant inter-individual variability in drug penetration into CSF, making it difficult to recommend optimal dosing regimens despite some patients achieving high plasma drug levels.
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Background: Conversion from sleeve gastrectomy (SG) to Roux-en-Y gastric bypass (RYGB) may be indicated for patients due to insufficient weight loss or weight regain.

Objectives: To assess weight loss outcomes and factors predictive of improved weight loss in patients undergoing RYGB after SG and create an algorithm to estimate postoperative weight loss in these patients.

Setting: University Hospital.

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