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PubMed1996

Stepwise strategy of using short- and long-term heart rate variability for risk stratification after myocardial infarction.

Independent of other established risk factors, depressed heart rate variability (HRV) has been shown to be a powerful predictor of cardiac events after MI. Unfortunately, the need of 24-hour ECG recording and subsequent laborious editing of Holter data limits the clinical use of long-term HRV. In order to perform post-MI risk stratification more efficiently, we evaluated the value of short-term HRV estimates for preselection of patients who might benefit from long-term HRV assessment. Two measures were assessed from 24-hour ambulatory ECGs recorded in 729 survivors of acute MI prior to hospital discharge. In addition to a complete 24-hour HRV index, a standard deviation of normal-to-normal RR intervals (SDNN) was obtained from the first stationary and ectopic free 5-minute segment of the Holter recording. Predictive power (relation between positive predictive accuracy and sensitivity) of a complete 24-hour HRV index in identifying patients who suffered from cardiac mortality or arrhythmic events during a 2-year follow-up was compared to the predictive power of assessing the 24-hour HRV index limited to 50%, 40%, or 20% of patients with the lowest values of 5-minute SDNN. The HRV index was significantly lower in patients who died (19 +/- 11 units) or had an arrhythmic event (AE) (18 +/- 11 units) compared to those who survived without an event (28 +/- 10 resp. 27 +/- 11 units; P < 0.001). Similarly, 5-minute SDNN was significantly lower in patients who died (25 +/- 12 ms) or suffered an AE (26 +/- 13 ms) compared to survivors (40 +/- 19 ms resp. 39 +/- 19 ms; P < 0.001). When limited to patients with depressed 5-minute SDNN, assessment of the HRV index performed better than 5-minute SDNN alone in positive prediction of cardiac events. Preselected assessment of the lowest HRV index in 50% to 20% of the total population yielded a 2-year cardiac event prediction rate as high as analysis of the HRV index in all patients. Long-term HRV assessment for risk stratification after MI in patients preselected by depressed short-term SDNN is safe and efficient, and allows a practical identification of patients with the highest likelihood of cardiac events during long-term follow-up.

Aged↗
PubMed1997

Clinical perspective on risk stratification.

Surveys show that subjective risk assessment or risk stratification is often widely inaccurate. Objective data from large observational studies or from clinical trials identifies a persons absolute risk of an event in a given time in order to assess the risk/benefit ratio of a given treatment. In general, the higher the risk the better the risk/benefit ratio. Relative risk reduction by a given treatment is often similar across subgroups divided by sex, age, blood pressure etc.; however if the absolute risk is low it may not e worth taking a treatment with serious side effects (e.g., cerebral haemorrhage). Risk stratification is also important in assessing the cost effectiveness of treatment (e.g,. cholesterol reduction by statins for different groups of the population). Inappropriate surrogate end points should be avoided in cost benefit analysis (e.g., suppression of ventricular ectopic beats by antiarrhythmic drugs). A Bayesian approach should be adopted.

Arrhythmias, Cardiac↗
PubMed1997

Analysis of clinical follow-up databases: risk stratification studies and prospective trial design.

Design of new prospective studies should utilize detailed retrospective evaluations of clinical data. For this purpose, clinical data are needed containing both prospectively recorded values of risk factors and follow-up events. A concept of a new trial can then be modeled within the existing data-set. The development of such a model consists of the following steps: (a) the distribution of values of risk factors has to be investigated in the whole recorded population and the statistical association of the risk factors with follow-up events has to be established; (b) the stratification characteristics (sensitivity, specificity, and predictive accuracies) have to be evaluated for individual risk factors and for their multivariate combinations; (c) the stratification characteristics have to be converted into estimates of mortality reduction expected within the high risk group and used for the optimum trial design in terms of screened and randomized patient numbers. In this review, the strategy of designing a new trial is demonstrated using data of 644 survivors of acute myocardial infarction with available 3-year follow-up during which 74 patients died. A model of a new trial is considered involving reduced left ventricular ejection fraction, increased 24-hour mean heart rate, and depressed 24-hour heart rate variability as risk stratifiers.

Arrhythmias, Cardiac↗
PubMed1997

Present and future role of ambulatory Holter monitoring for arrhythmia risk stratification.

Risk stratification for arrhythmogenic events and sudden death in patients with organic heart disease, particularly those with coronary heart disease and a history of MI, continues to be one of the major tasks of clinical cardiologists, although advanced management strategies including thrombolysis, acute PTCA and surgical intervention dramatically reduced the percentage of sudden deaths following acute MIs, Noninvasive studies like resting and exercise ECG, echocardiography, signal averaging, 24-hour ECG, and radionuclide studies, as well as invasive techniques such as electrophysiologically programmed electrostimulation and coronary angiography, are being used routinely. Ambulatory Holter monitoring is an established noninvasive technique for risk stratification. There is evidence showing that its predictive potential for arrhythmogenic risks is enhanced, if more than one parameter is analyzed. Absence of ST segment changes and a normal HRV are the parameters signaling out low-risk patients. The use of additional parameters which escape electrocardiographic recording, like ventricular function and myocardial ischemia, improve the accuracy of predicting arrhythmogenic events. The most predictive combination of risk parameters is, however, still poorly understood. Future research should define normal ranges of parameters recordable by H-ECG, solve technical problems of recording data and analyzing them. In addition, the accuracy of measuring QT duration and documenting late potentials should be improved by more sophisticated methods. But it is unrealistic to expect that the QT interval will become amenable to automatic analysis in all patients. A fully automatic QT analysis without visually checking the measuring points at the tip and the end of the T wave for their consistency is hardly conceivable. The documentation of late potentials, in turn, is limited by artefacts caused by muscle contraction during physical activity. Clinical aspects, e.g., the predictability of arrhythmogenic events in patients with cardiomyopathies and valvular disease should be addressed. This will require studies combining the predictive potentials of rhythmologic and hemodynamic data.

Arrhythmias, Cardiac↗
PubMed2001

Clinical, electrocardiographic, and biochemical data for immediate risk stratification in acute coronary syndromes.

The recent evolution in therapeutic options for acute coronary syndromes (ACS) mandates early risk stratification in order to select the appropriate treatment strategy for individual patients. Simple clinical data derived from the patient's medical history and physical examination, a standard twelve-lead electrocardiogram (ECG), and determinations of biochemical markers of myocardial damage can be obtained in the emergency room and serve as a guide for deciding appropriate medical management and optimal use of available resources. Even the most important classification of the ACS is based upon a simple and dichotomous description of the ECG, where the presence of ST-segment elevation mandates an immediate attempt to restore coronary perfusion (either pharmacologically or mechanically), whereas its absence suggests pharmacological stabilization before further evaluation. Across the whole spectrum of ACS, clinical history data (such as older age, previous coronary events, and diabetes) and clinical variables (such as higher heart rate, lower blood pressure, and higher Killip class) are the most powerful prognostic determinants at multivariate analyses derived from large databases. The ECG adds significant and independent prognostic information using the analysis of qualitative (direction of ST-segment shift, associated T-wave inversion, and presence of conduction disturbances) and quantitative (number of leads involved, amount of ST- segment shifts, duration of QRS) characteristics. Biochemical markers of myocardial damage have also been identified as independent predictors of events. In addition, retrospective analyses of clinical trials have suggested that biochemical markers might serve as a guide to select pharmacological therapy. However, how to best combine electrocardiographic and biochemical data for immediate risk stratification remains to be further elucidated.

Aged↗
PubMed2002

Brugada syndrome: current clinical aspects and risk stratification.

Brugada syndrome is a primary electrical disease of the heart that causes sudden cardiac death or life-threatening ventricular arrhythmias, especially in younger men. Genetic analysis supports that this syndrome is a cardiac ion channel disease. A typical electrocardiographic finding consists of a right bundle branch block pattern and ST-segment elevation in the right precordial leads. The higher intercostal space V(1) to V(3) lead electrocardiogram could be helpful in detecting Brugada patients. Although two types of the ST-segment elevation are present, the coved type is more relevant to the syndrome than the saddle-back type. These patterns can be present permanently or intermittently. Recent data suggest that the Brugada-type electrocardiogram is more prevalent than the manifest Brugada syndrome. Asymptomatic individuals have a much lower incidence of future cardiac events than the symptomatic patients. Although risk stratification for the Brugada syndrome is still incomplete, the inducibility of sustained ventricular arrhythmias has been proposed as a good outcome predictor in this syndrome. In noninvasive techniques, some clinical evidence supports that late potentials detected by signal-averaged electrocardiography are a useful index for identifying patients at risk. The available data recommend prophylactic implantation of an implantable cardioverter defibrillator to prevent sudden cardiac death. This review summarizes recent information of the syndrome by reviewing most of new clinical reports and speculates on its risk stratification.

Age Distribution↗
PubMed2001

Combination of Goldman risk and initial cardiac troponin I for emergency department chest pain patient risk stratification.

BACKGROUND: Accurate identification of low-risk emergency department (ED) chest pain patients who may be safe for discharge has not been well defined. Goldman criteria have reliably risk-stratified patients but have not identified any subset safe for ED release. Cardiac troponin I (cTnI) values have also been shown to risk-stratify patients but have not identified a subset safe for ED release. OBJECTIVE: To test the hypothesis that ED chest pain patients with a Goldman risk of < or =4% and a single negative cTnI (< or =0.3 ng/mL) at the time of ED presentation would be safe for discharge [<1% risk for death, acute myocardial infarction (AMI), revascularization]. METHODS: A prospective cohort study was performed in which consecutive ED chest pain patients were enrolled from July 1999 to November 2000. Data collected included patient demographics, medical and cardiac history, electrocardiogram, and creatine kinase-MB and cTnI. Goldman risk stratification score was calculated while patients were still in the ED. Hospital course was followed daily. Telephone follow-up occurred at 30 days. The main outcome was death, AMI, or revascularization (percutaneous transluminal coronary angioplasty/stents/coronary artery bypass grafting) within 30 days. RESULTS: Of 2,322 patients evaluated, 998 had both a Goldman risk < or =4% and a cTnI < or =0.3 ng/mL. During the initial hospitalization, 37 patients met the composite endpoint (3.7%): 6 deaths (0.7%), 17 AMIs (1.7%), 18 revascularizations (1.8%). Between the time of hospital discharge and 30-day follow-up, 15 patients met the composite endpoint: 4 deaths (0.4%), 6 AMIs (0.6%), and 5 revascularizations (0.5%). Overall, 49 patients met the composite endpoint (4.9%; 95% CI = 3.6% to 6.2%): 10 deaths (1.0%; 95% CI = 0.4% to 1.6%); 23 AMIs (2.3%; 95% CI = 1.4% to 3.2%), and 23 revascularizations (2.3%; 95% CI = 1.4% to 3.2%) within 30 days of presentation. CONCLUSIONS: The combination of two risk stratification modalities for ED chest pain patients (Goldman risk < or =4% and cTnI < or =0.3 ng/mL) did not identify a subgroup of chest pain patients at <1% risk for death, AMI, or revascularization within 30 days.

Aged↗
PubMed2002

Numerical visualization of two-phase plume formation in a stratification flow environment.

Evolution of two-phase plumes driven by air bubble buoyancy in a stratification ambient in a rectangular tank is visualized numerically by means of two-phase flow theory and large-eddy simulation technology. With a focus on the discrete nature of the buoyant dispersed phase and the role of momentum exchange between two phases in plume formation, we investigated the phenomena of mass entraining-in and peeling-out for continuous phase plume, which may result from a complicated and intricate interplay with phase interaction and dynamic stability of the stratification ambient, respectively. Numerical simulations show that although mass entraining-in and peeling-out appear to be distinguished entirely in the vertical direction, they interact or couple locally within inner of the plume and present a discontinuity in nature. The numerically visualized three-dimensional density field also indicates the same plume characteristics.

Journal Article↗
PubMed2005

Glacial/interglacial changes in subarctic north pacific stratification.

Since the first evidence of low algal productivity during ice ages in the Antarctic Zone of the Southern Ocean was discovered, there has been debate as to whether it was associated with increased polar ocean stratification or with sea-ice cover, shortening the productive season. The sediment concentration of biogenic barium at Ocean Drilling Program site 882 indicates low algal productivity during ice ages in the Subarctic North Pacific as well. Site 882 is located southeast of the summer sea-ice extent even during glacial maxima, ruling out sea-ice-driven light limitation and supporting stratification as the explanation, with implications for the glacial cycles of atmospheric carbon dioxide concentration.

Journal Article↗
PubMed1989

Human epidermal growth factor for the stratification of synovial lining layer and neovascularisation in rheumatoid arthritis.

Immunohistochemical study showed selective localisation of human epidermal growth factor (hEGF) to the synovial lining layer. Although the synovial lining layer of the rheumatoid, osteoarthritic, and traumatic joints was hEGF positive, hEGF staining was especially dense at the rheumatoid synovial lining layer; the staining increasing linearly according to the degree of stratification of the lining layer (r = 1). Human epidermal growth factor was ultrastructurally localised to cytoplasm, especially to rough endoplasmic reticulum, of the synovial lining fibroblast-like (type B) cell. Only the cell surface of macrophage-like (type A) cells was hEGF positive. When different histological variables were compared with each other a positive correlation was found between hEGF staining of the synovial lining layer and the degree of neovascularisation of rheumatoid synovium (r = 0.72). Although some lymphocytes were weakly hEGF positive, neovascularisation did not correlate with the extent of lymphocyte infiltration or of hEGF staining of lymphocytes. Lymphocyte infiltration or hEGF staining of lymphocytes did not correlate with hEGF staining of the synovial lining layer, whereas the lymphocyte infiltration correlated positively with the extent of perivascular accumulation of lymphocytes (r = 0.89). These findings suggest that (a) hEGF is synthesised by and secreted through endoplasmic reticulum and Golgi apparatus from the synovial lining type B cell; (b) hEGF is at least partially responsible for the pathogenesis of stratification of the rheumatoid synovial lining layer, and perhaps of neovascularisation of the rheumatoid synovium, whereas it is not responsible for lymphocyte accumulation to the rheumatoid synovium.

Arthritis, Rheumatoid↗
PubMed2006

Risk stratification of severe sepsis patients in the emergency department.

OBJECTIVE: To determine the efficacy of the Mortality in Emergency Department Sepsis (MEDS) score in the stratification of patients who presented to the emergency department (ED) with severe sepsis. METHODS: Adults who presented to the ED with severe sepsis were retrospectively recruited and divided into group A (MEDS score <12) and group B (MEDS score > or =12). Their outcomes were evaluated with 28 day hospital mortality rate, length of hospital stay, Kaplan-Meier survival analysis, and receiver operating characteristic (ROC) analysis. Discriminatory power of the MEDS score in mortality prediction was further compared with the Acute Physiology and Chronic Health Evaluation (APACHE) II model. RESULTS: In total, 276 patients (44.6% men and 55.4% women) were analysed, with 143 patients placed in group A and 133 patients in group B. Patients with MEDS score > or =12 had a significantly higher mortality rate (48.9% v 17.5%, p<0.01) and higher median APACHE II score (25 v 20 points, p<0.01). Significant difference in mortality risk was also demonstrated with Kaplan-Meier survival analysis (log rank test, p<0.01). No difference in the length of hospital stay was found between the groups. ROC analysis indicated a better performance in mortality prediction by the MEDS score compared with the APACHE II score (ROC 0.75 v 0.62, p<0.01). CONCLUSION: Our results showed that mortality risk stratification of severe sepsis patients in the ED with MEDS score is effective. The MEDS score also discriminated better than the APACHE II model in mortality prediction.

APACHE↗
PubMed2003

Validation of four different risk stratification systems in patients undergoing off-pump coronary artery bypass surgery: a UK multicentre analysis of 2223 patients.

BACKGROUND: Various risk stratification systems have been developed in coronary artery bypass graft surgery (CABG), based mainly on patients undergoing procedures with cardiopulmonary bypass. OBJECTIVE: To assess the validity and applicability of the Parsonnet score, the EuroSCORE, the American College of Cardiology/American Heart Association (ACC/AHA) system, and the UK CABG Bayes model in patients undergoing off-pump coronary artery bypass surgery (OPCAB) in the UK. METHODS: Data on 2223 patients who underwent OPCAB in eight cardiac surgical centres were collected. Predicted mortality risk scores were calculated using the four systems and compared with observed mortality. Calibration was assessed by the Hosmer-Lemeshow (HL) test. Discrimination was assessed using the receiver operating characteristic (ROC) curve area. RESULTS: 30 of 2223 patients (1.3%) died in hospital. For the Parsonnet score the HL test was significant (p < 0.001) and the receiver operating characteristic curve (ROC) area was 0.74. For the EuroSCORE the HL test was also significant (p = 0.008) and the ROC area was 0.75. For the ACC/AHA system the HL test was non-significant (p = 0.7) and the ROC area was 0.75. For the UK CABG Bayes model the HL test was also non-significant (p = 0.3) and the ROC area was 0.81. CONCLUSIONS: The UK CABG Bayes model is reasonably well calibrated and provides good discrimination when applied to OPCAB patients in the UK. Among the other three systems, the ACC/AHA system is well calibrated but its discrimination power was less than for the UK CABG Bayes model. These data suggest that the UK CABG Bayes model could be an appropriate risk stratification system to use for patients undergoing OPCAB in the UK.

Coronary Artery Bypass↗
PubMed2005

Risk stratification of patients with acute chest pain and normal troponin concentrations.

OBJECTIVE: To investigate the outcome of patients with acute chest pain and normal troponin concentrations. DESIGN: Prospective cohort design. SETTING: Single centre study in a teaching hospital in Spain. PATIENTS: 609 consecutive patients with chest pain evaluated in the emergency department by clinical history (risk factors and a chest pain score according to pain characteristics), ECG, and early (< 24 hours) exercise testing for low risk patients with physical capacity (n = 283, 46%). All had normal troponin concentrations after serial determination. MAIN OUTCOME MEASURES: Myocardial infarction or cardiac death during six months of follow up. RESULTS: 29 events were detected (4.8%). No patient with a negative early exercise test (n = 161) had events versus the 6.9% event rate in the remaining patients (p = 0.0001). Four independent predictors were found: chest pain score > or = 11 points (odds ratio (OR) 2.4, 95% confidence interval (CI) 1.1 to 5.5, p = 0.04), diabetes mellitus (OR 2.3, 95% CI 1.1 to 4.7, p = 0.03), previous coronary surgery (OR 3.1, 95% CI 1.3 to 7.6, p = 0.01), and ST segment depression (OR 2.8, 95% CI 1.3 to 6.3, p = 0.003). A risk score proved useful for patient stratification according to the presence of 0-1 (2.7% event rate), 2 (10.2%, p = 0.008), and 3-4 predictors (29.2%, p = 0.0001). CONCLUSIONS: A negative troponin result does not assure a good prognosis for patients coming to the emergency room with chest pain. Early exercise testing and clinical data should be carefully evaluated for risk stratification.

Acute Disease↗
PubMed2006

Managing patients undergoing non-cardiac surgery: need to shift emphasis from risk stratification to risk modification.

Many patients undergo non-invasive testing for the detection of coronary artery disease before non-cardiac surgery. This is despite the low predictive value of positive tests in this population and the lack of any evidence of benefit of coronary revascularisation before non-cardiac surgical procedures. Further, this strategy often triggers a clinical cascade exposing the patient to progressively riskier testing and intervention and results in increased costs and unnecessary delays. On the other hand, administration of beta blockers, and more recently statins, has been shown to reduce the occurrence of perioperative ischaemic events. Therefore, there is a need for a shift in emphasis from risk stratification by non-invasive testing to risk modification by the application of interventions, which prevent perioperative ischaemia--principally, perioperative beta adrenergic blockade and perhaps treatment with statins. Clinical risk stratification tools reliably identify patients at high risk of perioperative ischaemic events and can guide in the appropriate use of perioperative medical treatment.

Adrenergic beta-Antagonists↗
PubMed2026

Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis.

BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracranial aneurysm rupture status beyond established clinical risk stratification tools. However, reported performance is heterogeneous and the relative contribution of model architecture and feature dominance remains unclear. METHODS: We performed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-diagnostic test accuracy systematic review and diagnostic meta-analysis of studies evaluating ML models for intracranial aneurysm rupture discrimination. PubMed, Embase and CENTRAL were searched to February 2026. Sensitivity and specificity were pooled using a bivariate random-effects model, with summary receiver operating characteristic curves generated across training, internal testing and external validation datasets. Models were compared with regression-based approaches and Population, Hypertension, Age, Size of aneurysm, Earlier subarachnoid haemorrhage, Site of aneurysm (PHASES) scores. Subgroup and meta-regression analyses explored associations between algorithm family and feature domain. RESULTS: Sixty-two retrospective cohorts (29&#x2009;709 patients 209 models) met the inclusion criteria. In training datasets, pooled sensitivity and specificity for ML were 0.81 (95% CI 0.75 to 0.85)&#x2009;and 0.83 (0.80-0.86), with an area under the curve (AUC) of 0.878, exceeding PHASES (AUC 0.667). In testing datasets, ML retained higher discrimination (AUC 0.837) than regression models (0.806) and PHASES (0.646). In external validation, sensitivity was preserved (0.82), but specificity declined (0.66). Deep learning demonstrated the highest AUCs (training and testing). Incorporation of haemodynamic or radiomic features improved pooled discrimination relative to morphology alone. Evidence of small-study effects and mostly unclear Prediction Model Risk Of Bias Assessment Tool ratings were observed. CONCLUSIONS: ML approaches demonstrate higher pooled discrimination for aneurysm rupture status than conventional risk scores in retrospective datasets, but reduced external validation specificity and heterogeneity limit confidence for clinical translation. Prospective, externally validated, calibrated models are required before integration into routine cerebrovascular risk stratification.

Humans↗
PubMed1978

Intracellular staining reveals different levels of stratification for on- and off-center ganglion cells in cat retina.

1. Ganglion cells in the retina of the cat were stained by intracellular dye injection after recording their responses to photic stimulation. 2. All cells encountered were divided into those giving on-responses and those producing off-responses, and the level of dendritic branching of these two groups was compared. Cells giving off-responses were found to branch high in the inner plexiform layer (IPL), near the amacrine cell bodies (sublamina a); those giving on-responses were found to branch lower in the inner plexiform layer (sublamina b). 3. Dye-injected cells varied widely in morphology and size, having cell bodies ranging in diameter from 8 to 32 micrometer and dendritic fields ranging from 25 to 490 micrometer in diameter; yet the sign of the response of each unit correlated only with the level of dendritic branching. Thus, no other morphological feature except stratification appears to be important in determining the sign of the response of these cells. 4. The stratification of ganglion cells into on- and off-layers parallels the distribution of the axon terminals of the flat and invaginating cone bipolars. Flat cone bipolars are in a position to contact off-center ganglion cells (in sublamina a) and invaginating cone bipolars are in a position to contact on-center ganglion cells (in sublamina b). 5. The rod and cone inputs to some cells were characterized by comparing their responses to deep red and blue rod-matched stimuli over a 2-log unit range starting at dark-adapted threshold. About half the cells appeared to be rod dominated under these conditions, whereas the others appeared to have mixed rod and cone signals. 6. The nature of the rod and cone pathways to ganglion cells is discussed.

Animals↗
PubMed1998

Impact of early risk stratification on the length of hospitalization in patients with acute Q-wave myocardial infarction. 'The 60-minutes myocardial infarction project'.

UNLABELLED: An assessment of individual risk factors may identify a subgroup of postinfarction patients at low risk, i.e. patients appropriate for early discharge. Using a large unselected population of the national registry, 'The 60-Minutes Myocardial Infarction Project', we (1) attempted to provide a retrospective analysis of clinical factors and in-hospital mortality in a population living on the 6th hospital day following admission to define a low-risk patient group with a residual in-hospital mortality of less than 1% eligible for early discharge, and (2) to analyze the current impact of risk stratification based on these clinical factors on the length of hospitalization. The study group consisted of 12,045 survivors on the 6th day after admission out of 14,980 patients of the registry with proven Q-wave myocardial infarction. Risk modeling was performed with multiple logistic regression. RESULTS: A total of 873 patients (7.3%) died after day 6 in hospital. The most important prognostic factors were cardiopulmonary resuscitation prior to admission (odds ratio, OR: 7.2, confidence interval, CI: 5.11-10.22), thrombolysis complicated by severe bleedings (OR: 6.2, CI: 1.2-31. 2) and age >70 years (OR 4.7, CI 3.51-6.39). The other more significant independent predictors of increased mortality were end-stage renal disease, age between 56 and 70 years, systolic blood pressure <95 mm Hg on admission, history of trauma </=2 months, cancer and left-bundle-branch block. Summarizing these nine groups of patients with the strongest association to in-hospital mortality, we defined a high-risk group comprising 79% of the AMI patients with a residual in-hospital mortality of 8.8%. On the other hand, by excluding these nine high-risk patient groups, a low-risk group of 21% of all AMI patients seems to be appropriate for early discharge (residual in-hospital mortality = 1.07%). However, in the current practice, there was no difference regarding the median length of hospital stay between the two risk groups. The low-risk patients were hospitalized 20 days compared to 22 days in the high-risk patients. CONCLUSION: Using a simple logistic regression model, which considers clinical factors of the early hospital phase, one fifth of the infarction patients can be stratified to be at low risk, and might be eligible for early hospital discharge. Currently, an individual risk stratification has no impact on the length of hospital stay in Germany.

Aged↗
PubMedDate not supplied

Development of staging and stratification systems.

Physicians communicate with each other on a daily basis using staging and stratification systems, whether they recognize this or not. At a minimum, they help convey a wealth of information in communicating about patients and their disease; more sophisticated staging systems help physicians recommend therapy and prevention strategies for patients, or predict functional and survival prognoses in concordance with the current scientific evidence. The goal of this article is to discuss the purpose and rationale of staging or stratification systems, and to introduce the clinical and statistical development and evaluation of these systems. The practicing physician should be aware of basic methodologic principles in the development of staging systems that help ensure their quality and applicability, so that staging systems can help improve patient care.

Cohort Studies↗