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1.
Risk Manag Healthc Policy ; 13: 443-451, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32547275

RESUMEN

PURPOSE: Burden of comorbidities appears to be related to clinical outcomes in hospitalized patients. Clinical stratification of admitted patients could be obtained calculating a comorbidity score, which represents the simplest way to identify the severity of patients' clinical conditions and a practical approach to assess prevalent comorbidities. Our aim was to validate a modified Elixhauser score for predicting in-hospital mortality (IHM) in internal medicine admissions and to compare it with a different one derived from clinical data previously used in a similar setting, having a good prognostic accuracy. PATIENTS AND METHODS: A single-center retrospective study enrolled all patients admitted to internal medicine department between January and June 2016. A modified Elixhauser score was calculated from chart review and administrative data; moreover, a second prognostic index was calculated from chart review only. Comorbidity scores were compared using c-statistic. RESULTS: We analyzed 1614 individuals without selecting the reason for admission, 224 (13.9%) died during hospital stay. Deceased subjects were older (83.3±9.1 vs 78.4±13.5 years; p<0.001) and had higher burden of comorbidities. The modified Elixhauser score calculated by administrative data and by chart review and the comparator one was 18.13±9.36 vs 24.43±11.27 vs 7.63±3.3, respectively, and the c-statistic was 0.758 (95% CI 0.727-0.790), 0.811 (95% CI 0.782-0.840) and 0.740 (95% CI 0.709-0.771), respectively. CONCLUSION: The new modified Elixhauser score showed a similar performance to a previous clinical prognostic index when it was calculated using administrative data; however, its performance improved if calculation was based on chart review.

2.
Minerva Urol Nefrol ; 71(6): 612-618, 2019 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-30654602

RESUMEN

BACKGROUND: Aim of this retrospective study was to investigate costs and resource consuming, expressed by diagnosis related groups (DRG), related only to hospitalizations of renal transplant recipients (RTRs) for all causes in the Region Emilia Romagna (RER) in Italy. METHODS: We included all hospital admissions of RTRs (International Classification of Diseases 9th Revision, Clinical Modification [ICD-9-CM] code V420) between 2001 and 2015. We calculated number of admissions, RTRs and inhabitants of RER for each year, mean age, length of stay (LOS) in the hospital as total number of days, mean and median days, mean value of DRG and costs of admissions during the 15-year period of the study. RESULTS: RTRs admitted in the 15 years study period were 9,197 and mean age 56.6±1.6 years. Admissions were 14,558, and mean rate of admitted RTRs (*100,000) was 14.21. Total, mean and median LOS were 122,966, 8.7 and 6 days, respectively. Total costs of admissions during the study period were €72,717,232 with mean DRG values of €3,409. Number of admissions and total number of days required for RTRs as well as mean age of admitted patients increased from 2001 to 2015, however mean and median LOS remained stable. CONCLUSIONS: Costs due to admissions of RTRs appeared to gradually increase in the long term probably due to the increasing number of admissions and increasing mean age of admitted RTRs.


Asunto(s)
Hospitalización/estadística & datos numéricos , Trasplante de Riñón/estadística & datos numéricos , Adolescente , Adulto , Factores de Edad , Grupos Diagnósticos Relacionados , Femenino , Hospitalización/economía , Hospitalización/tendencias , Humanos , Italia , Trasplante de Riñón/economía , Trasplante de Riñón/tendencias , Tiempo de Internación , Masculino , Persona de Mediana Edad , Estudios Retrospectivos
3.
Medicine (Baltimore) ; 97(42): e12818, 2018 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-30334978

RESUMEN

Infectious diseases (ID) are frequently cause of internal medicine wards (IMW) admission. We aimed to evaluate risk factors for in-hospital mortality (IHM) in IMW patients with ID, and to test the usefulness of a comorbidity score (CS).This study included ID hospital admissions between January 2013, and December 2016, recorded in the database of the local hospital. ICD-9-CM codes were selected to identify infections, development of sepsis, and to calculate a CS.We analyzed 12,173 records, (age 64.8 ±â€Š25.1 years, females 66.2%, sepsis 9.3%). Deceased subjects (1545, 12.7%) were older, had higher percentage of sepsis, pulmonary infections, and endocarditis. Mean value of CS was also significantly higher. At multivariate analysis, the odds ratio (OR) for sepsis (OR 5.961), endocarditis (OR 4.247), pulmonary infections (OR 1.905), other sites of infection (OR 1.671), and urinary tracts infections (OR 0.548), were independently associated with IHM. The CS (OR 1.070 per unit of increasing score), was independently associated with IHM as well. The calculated weighted risk, obtained by multiplying 1.070 for the mean score value in deceased patients, was 19.367. Receiver operating characteristic (ROC) analysis showed that CS and development of sepsis were significant predictors for IHM (area under the curve, AUC: 0.724 and 0.670, respectively).Careful evaluation of comorbidity in internal medicine patients is nowadays matter of extreme importance in IMW patients hospitalized for ID, being IHM related to severity of disease, type and site of infection, and also to concomitant comorbidities. In these patients, a careful evaluation of CS should represent a fundamental step in the disease management.


Asunto(s)
Enfermedades Transmisibles/mortalidad , Mortalidad Hospitalaria , Hospitalización/estadística & datos numéricos , Adulto , Anciano , Enfermedades Transmisibles/epidemiología , Comorbilidad , Bases de Datos Factuales , Femenino , Humanos , Medicina Interna/estadística & datos numéricos , Masculino , Persona de Mediana Edad , Curva ROC , Estudios Retrospectivos , Factores de Riesgo , Índice de Severidad de la Enfermedad
4.
Nurs Res ; 65(6): 435-445, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27801714

RESUMEN

BACKGROUND: A potentially important factor yet to receive adequate study is the time when hospital falls occur. A prior study conducted before the system-wide introduction of preventive measures revealed a biphasic 24-hour pattern of hospital falls with major peak in the morning. OBJECTIVES: The purpose was to identify the temporal patterning of falls among elderly patients in hospitals with comprehensive fall prevention programs in place. METHODS: A 4-year observational study was conducted by the local health authority in the five nonteaching public hospitals located in the province of Ferrara, Italy. Fall records involving patients of ages ≥65 years hospitalized in the general medical departments were used. Single- and multiple-component cosinor (time series) analyses were used to explore 24-hour, weekly, and annual patterns of falls. RESULTS: A total of 763 falls were experienced by 709 different elderly hospitalized patients. Falls typically took place in the patient's hospital room (72%) and bathroom (23%). Major causes were patient instability (32%) and accident (13%), and most occurred when not wearing footwear (45%) or wearing inappropriate sling-back open-toe shoes (39%). Falls happened while standing (39%), while seated (21%), and while getting into, out of, or laying in bed (32%)-either with the bed rails raised or lowered. Fall outcome usually involved no injury (58%) or slight injury (35%), but some (7%) were disabling. Fall occurrence was higher during the night (46%) compared to either the morning (30%) or afternoon (24%) shift. Patterns across 24 hours were characterized by a single major and one or more minor peaks that seemed to be associated with a variety of scheduled patient, hospital, and nursing activities. Multiple-component cosinor analysis identified significant (p < .05) prominent day-night patterns according to fall location, patient position, cause, injury severity, and type of footwear. Falls were more frequent, but not significantly so, on Fridays, Sundays, and Mondays compared with Tuesdays, and were more frequent in winter and spring (p = .003). DISCUSSION: Documentation by cause and circumstance of these moderate- to high-amplitude temporal patterns in hospital falls of elderly patients advances the knowledge of fall epidemiology by identifying the times of day, week, and year and nursing shifts of elevated risk that is of critical importance to improving hospital patient safety programs.


Asunto(s)
Accidentes por Caídas/estadística & datos numéricos , Hospitales Públicos/estadística & datos numéricos , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Incidencia , Italia , Masculino , Factores de Riesgo , Factores de Tiempo
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