{'fraction_non_alphanumeric': 0.036575875486381325, 'fraction_numerical': 0.02178988326848249, 'mean_word_length': 5.3079754601227, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Data on nation-wide activity in intensive cardiac care units in France in 2014

We present data in relation to the article entitled “Description of acute cardiac care in 2014: A French nation-wide database on 277,845 admissions in 270 ICCUs”.(10.1016/j.ijcard.2017.04.002) (Roubille et al., 2017) [1]: the main characteristics of the pathologies managed in the intensive cardiac care units (ICCUs), the details on the interventions performed and the main differences between centers following the size of the centers and a figure presenting the monthly variations of admissions in the ICCUs in France in a total of 277,845 patients in 270 centers admitted at least one time in the ICCUs in 2014 (exhaustive data).

Value of the data Main characteristics of the pathologies managed in the intensive cardiac care units (ICCUs). The details on the interventions performed, allowing comparisons with other databases. Main differences between centers following the size of the centers, providing interesting features for health-system policies.
Monthly variations of admissions, urging for adaptations.

Background
The intensive cardiac care unit (ICCU) has greatly evolved for decades: it is no longer only patients with coronary artery disease (CAD). The clinical characteristics and pathological profiles of patients have markedly changed. Detailed data on the topic are critically lacking.
Data provided: main characteristics of the pathologies managed in the intensive cardiac care units (ICCUs), the details on the interventions performed main differences between centers following the size of the centers monthly variations of admissions

Data sources
Data are derived from an administrative database: French public and private hospitals are financed through a prospective payment scheme based on diagnosis-related groups (DRGs) [2]. The national hospital discharge database (Programme de Médicalisation des Systèmes d'Information) includes data from all public and private hospitals, and for all payers. Data includes diagnoses (encoded using the International Classification of Diseases, Tenth Revision -ICD-10), procedures (encoded using the French Classification Commune des Actes Medicaux -CCAM), age, sex, admission and discharge status, provider, French DRGs, and department level (an administrative division (n ¼ 96)). As all public and private hospitals receive additional service coverage, all ICCU admissions are recorded in the discharge database.
Demographic data on the French population is from the 2014 French census.

Variables
We included all inpatient stays of adult patients with at least one ICCU admission during the year 2014.
Diagnoses were grouped into clinically meaningful categories based on ICD-10 codes, whether as principal or secondary diagnosis (see methodology [1]).
The severity level is included in the discharge database and takes into account the patient's age, various cardiovascular pathologies and complications occurring during the admission.
Mortality was assessed on in-hospital death, which is included in the discharge database. The centers were grouped into 4 categories according to the volume of patients admitted based on the quartiles of the observed distribution.
Population-based ICCU admission rates of patients above 75 were calculated at the departmental level. Importantly, we present here exhaustive data representing 100% of the ICCUs in France and of the patients admitted in ICCUs.

Statistical analysis
Preliminary descriptive analysis included frequencies for categorical variables, means 7SD, and medians (minimum-maximum) for continuous variables.
Categorical variables were compared by a chi squared test. Comparisons of continuous variables were performed by Mann-Whitney, ANOVA or Kruskall-Wallis tests as appropriate and completed by the Bonferroni correction.
To determine the relative importance of the predictor variables on in-hospital mortality, a multivariate analysis using logistic regression was performed. A backward selection of the variables was used. Age, gender, center size and diagnosis were entered in the model. Adjusted odds-ratio (OR) and their confidence intervals (CI) were calculated. All statistical tests were two-sided and a p value of less than 0.05 was considered statistically significant All analyses were performed using SAS software, version 9.2.
Manuscript for the Data in Brief article Table 1A and B. Patients admitted with CAD comprised the largest group (49.0%) of admissions. Acute CAD was the main cause (39.3%) for admission, with patients significantly younger in age (mean age 67.4 y), primarily male (69.2%), and had significantly better outcomes (mortality 4.0%) and shorter hospital stays (mean stay 6.7 d). The second largest category for admissions was patients with arrhythmias (15.2%). Patients with heart failure (HF) represented 10.0% of admissions. HF patients were significantly older (mean age 75.2 y), hospitalized significantly longer (mean stay 12.0 d) and had significantly poorer outcomes (mortality 10.5%) than the other types of admission. Valvular disease was the fourth cause of admission (Tables 2 and 3).