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1.
Int J Clin Pract ; 70(3): 222-8, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26799539

ABSTRACT

OBJECTIVES: The aim of this study was to assess treatment patterns of lipid-lowering therapy (LLT) in patients with hyperlipidaemia or prior cardiovascular (CV) events who experience new CV events. METHODS: A retrospective population-based cohort study was conducted using Swedish medical records and registers. Patients were included in the study based on a prescription of LLT or CV event history and followed up for up to 7 years for identification of new CV events and assessment of LLT treatment patterns. Patients were stratified into three cohorts based on CV risk level. All outcomes were assessed during the year following index (the date of first new CV event). Adherence was defined as medication possession ratio (MPR) > 0.80. Persistence was defined as no gaps > 60 days in supply of drug used at index. RESULTS: Of patients with major cardiovascular disease (CVD) history (n = 6881), 49% were not on LLT at index. Corresponding data for CV risk equivalent and low/unknown CV risk patients were 37% (n = 3226) and 38% (n = 2497) respectively. MPR for patients on LLT at index was similar across cohorts (0.74-0.75). The proportions of adherent (60-63%) and persistent patients (56-57%) were also similar across cohorts. Dose escalation from dose at index was seen within all cohorts and 2-3% of patients switched to a different LLT after index while 5-6% of patients augmented treatment by adding another LLT. CONCLUSIONS: Almost 50% of patients with major CVD history were not on any LLT, indicating a potential therapeutic gap. Medication adherence and persistence among patients on LLT were suboptimal.


Subject(s)
Anticholesteremic Agents/therapeutic use , Cardiovascular Diseases/drug therapy , Hyperlipidemias/drug therapy , Aged , Aged, 80 and over , Atorvastatin/therapeutic use , Cardiovascular Diseases/prevention & control , Female , Humans , Male , Middle Aged , Pravastatin/therapeutic use , Retrospective Studies , Risk Factors , Simvastatin/therapeutic use , Sweden
2.
Eur J Health Econ ; 17(5): 591-601, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26077550

ABSTRACT

OBJECTIVES: To estimate healthcare costs of new cardiovascular (CV) events (myocardial infarction, unstable angina, revascularization, ischemic stroke, transient ischemic attack, heart failure) in patients with hyperlipidemia or prior CV events. METHODS: A retrospective population-based cohort study was conducted using Swedish national registers and electronic medical records. Patients with hyperlipidemia or prior CV events were stratified into three cohorts based on CV risk level: history of major cardiovascular disease (CVD), coronary heart disease (CHD) risk-equivalent, and low/unknown risk. Propensity score matching was applied to compare patients with new events to patients without new events for estimation of incremental costs of any event and by event type. RESULTS: A CV event resulted in increased costs over 3 years of follow-up, with the majority of costs occurring in the 1st year following the event. The mean incremental cost of patients with a history of major CVD (n = 6881) was €8588 during the 1st year following the event. This was similar to that of CHD risk-equivalent patients (n = 3226; €6663) and patients at low/unknown risk (n = 2497; €8346). Ischemic stroke resulted in the highest 1st-year cost for patients with a history of major CVD and CHD risk-equivalent patients (€10,194 and €9823, respectively); transient ischemic attack in the lowest (€3917 and €4140). Incremental costs remained elevated in all cohorts during all three follow-up years, with costs being highest in the major CVD history cohort. CONCLUSIONS: Healthcare costs of CV events are substantial and vary considerably by event type. Incremental costs remain elevated for several years after an event.


Subject(s)
Cardiovascular Diseases/economics , Health Expenditures/statistics & numerical data , Hyperlipidemias/economics , Aged , Aged, 80 and over , Cause of Death , Comorbidity , Coronary Disease/economics , Female , Health Services/economics , Health Services/statistics & numerical data , Hospitalization/economics , Humans , Male , Middle Aged , Models, Econometric , Prescription Fees/statistics & numerical data , Primary Health Care/economics , Propensity Score , Retrospective Studies , Risk Factors , Sweden , Time Factors
3.
Eur J Health Econ ; 17(9): 1117-1124, 2016 Dec.
Article in English | MEDLINE | ID: mdl-26607457

ABSTRACT

OBJECTIVES: To estimate productivity loss and associated indirect costs in high-risk patients treated for hyperlipidemia who experience cardiovascular (CV) events. METHODS: Retrospective population-based cohort study conducted using Swedish medical records linked to national registers. Patients were included based on prescriptions of lipid-lowering therapy between 1 January 2006 and 31 December 2011 and followed until 31 December 2012 for identification of CV events and estimation of work productivity loss (sick leave and disability pension) and indirect costs. Patients were stratified into two cohorts based on CV risk level: history of major cardiovascular disease (CVD) and coronary heart disease (CHD) risk equivalent. Propensity score matching was applied to compare patients with new events (cases) to patients without new events (controls). The incremental effect of CV events was estimated using a difference-in-differences design, comparing productivity loss among cases and controls during the year before and the year after the cases' event. RESULTS: The incremental effect on indirect costs was largest in the CHD risk equivalent cohort (n = 2946) at €3119 (P value <0.01). The corresponding figure in the major CVD history cohort (n = 4508) was €2210 (P value <0.01). There was substantial variation in productivity loss depending on the type of event. Transient ischemic attack and revascularization had no significant effect on indirect costs. Myocardial infarction (€3465), unstable angina (€2733) and, most notably, ischemic stroke (€6784) yielded substantial incremental cost estimates (P values <0.01). CONCLUSIONS: Indirect costs related to work productivity losses of CV events are substantial in Swedish high-risk patients treated for hyperlipidemia and vary considerably by type of event.


Subject(s)
Cardiovascular Diseases/economics , Cost of Illness , Health Care Costs , Adult , Anticholesteremic Agents/therapeutic use , Cardiovascular Diseases/complications , Efficiency , Female , Health Care Costs/statistics & numerical data , Humans , Hyperlipidemias/complications , Hyperlipidemias/drug therapy , Logistic Models , Male , Middle Aged , Pensions , Registries , Retrospective Studies , Risk Factors , Sick Leave , Sweden , Young Adult
9.
Article in English | MEDLINE | ID: mdl-22254525

ABSTRACT

An algorithm for rapid trend detection of physiological parameter is introduced for ambulatory monitoring applications. Kalman prediction error of monitored parameter is used to estimate the physiological status and detect rapid change. With this algorithm, rapid trend during ambulatory monitoring can be found to predict disease exacerbation; and it is also applied to identify outliers of measurement due to poor signal quality to avoid false alarms.


Subject(s)
Algorithms , Diagnosis, Computer-Assisted/methods , Models, Biological , Monitoring, Ambulatory/methods , Computer Simulation , Humans , Models, Statistical
10.
Article in English | MEDLINE | ID: mdl-21096745

ABSTRACT

A signal quality classification algorithm is presented to evaluate signal quality in ambulatory monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be eliminated to avoid wrong conclusions and instructions in the ambulatory system.


Subject(s)
Algorithms , Monitoring, Ambulatory/methods , Signal Processing, Computer-Assisted , Artifacts , Humans , Reproducibility of Results
11.
Can J Anaesth ; 40(7): 601-6, 1993 Jul.
Article in English | MEDLINE | ID: mdl-8104724

ABSTRACT

In a controlled study a single segment combined spinal epidural (CSE) block was compared with spinal or epidural block for major orthopaedic surgery. Seventy-five patients, age 52-86 yr, were randomly assigned to receive one of the three blocks. Bupivacaine 0.5% was used for surgical analgesia. The postoperative pain relief after 4.0 mg epidural morphine was compared with the analgesic effect of 0.2 or 0.4 mg morphine administered intrathecally. With the spinal technique good or excellent surgical analgesia and muscle relaxation were achieved rapidly (11.8 +/- 1.1 min). The time taken to provide an equally effective and reliable block with the CSE technique was no longer (14.9 +/- 2.2 min). For epidural block with the catheter technique more time was required (35.9 +/- 3.9 min) to provide acceptable surgical conditions (P < 0.05). Perioperative sedatives and concomitant analgesics were required more frequently and in larger doses by the patients undergoing surgery with epidural block (P < 0.05) than with CSE or spinal block. Our study demonstrated that the analgesia after surgery provided by 0.2 and 0.4 mg morphine administered intrathecally was comparable to that provided by 4.0 mg of epidural morphine. It is concluded that the analgesia and surgical conditions provided by the spinal and CSE blocks were similar and were superior to those provided by an epidural block.


Subject(s)
Analgesia, Epidural , Anesthesia, Epidural , Anesthesia, Spinal , Bupivacaine , Morphine/administration & dosage , Nerve Block , Pain, Postoperative/drug therapy , Aged , Aged, 80 and over , Analgesics, Opioid/administration & dosage , Bupivacaine/administration & dosage , Fentanyl/administration & dosage , Hip Prosthesis , Humans , Injections, Spinal , Knee Prosthesis , Meperidine/administration & dosage , Meperidine/analogs & derivatives , Midazolam/administration & dosage , Middle Aged , Neuromuscular Blocking Agents , Time Factors
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