Publications by authors named "Moulesh Shah"

Major depressive disorder (MDD), and particularly treatment-resistant depression (TRD), lead to high levels of health-care use and disease burden. The aim of this study was to evaluate and compare the health-care resource utilisation and associated costs in these patient groups. It was a population-wide, retrospective analysis of NHS health-care electronic records in northwest London using the Discover-NOW platform, one of the largest interlinked datasets in Europe hosted by Imperial College Health Partners, which contains coded emergency and routine, primary and secondary, physical and mental health data, covering a population of more than 2.

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Introduction: The prevalence of non-diabetic hyperglycemia (NDH) and type 2 diabetes mellitus (T2DM) is increasing. While T2DM is recognised to be associated with multimorbidity and early mortality, people with NDH are frequently thought to be devoid of such complications, potentially exposing individuals with NDH to suboptimal care. We therefore used the Discover London Secure Data Environment (SDE) dataset to appreciate the relationship of NDH/T2DM with multimorbidity, healthcare usage, and clinical outcomes.

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Background: Despite the availability of effective therapies, many patients with major depressive disorder (MDD) develop treatment-resistant depression (TRD).

Aims: To evaluate and compare prescribing patterns, contact with specialist services and treatment outcomes in patients with MDD and TRD.

Method: This was a retrospective analysis of linked primary and secondary care National Health Service data in the north-west London Discover-NOW data-set.

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Background: Data on the optimum positioning of biologics in the treatment of inflammatory bowel disease (IBD) are limited.

Research Design And Methods: This was a longitudinal retrospective study of linked health-care data from northwest London, UK, for adults who started ustekinumab for IBD from 1 April 20161 April 2016 to 1 April 20211 April 2021. We compared outcomes by line of therapy (1 vs.

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Introduction: The prevalence of Diabetic Kidney Disease (DKD) secondary to Type 2 Diabetes Mellitus (T2DM) is rising worldwide. However, real-world data linking glomerular function and albuminuria to the degree of multi-morbidity is lacking. We thus utilised the Discover dataset, to determine this association.

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Background: Despite effective therapies, the economic burden of heart failure with reduced ejection fraction (HFrEF) is driven by frequent hospitalizations. Treatment optimization and admission avoidance rely on frequent symptom reviews and monitoring of vital signs. Remote monitoring (RM) aims to prevent admissions by facilitating early intervention, but the impact of noninvasive, smartphone-based RM of vital signs on secondary health care use and costs in the months after a new diagnosis of HFrEF is unknown.

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Background And Aims: Most patients with heart failure (HF) are diagnosed following a hospital admission. The clinical and health economic impacts of index HF diagnosis made on admission to hospital versus community settings are not known.

Methods: We used the North West London Discover database to examine 34 208 patients receiving an index diagnosis of HF between January 2015 and December 2020.

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