Temporal Series Analysis of Population Cycle Threshold Counts as a Predictor of Surge in Cases and Hospitalizations during the SARS-CoV-2 Pandemic.

Tools to predict surges in cases and hospitalizations during the COVID-19 pandemic may help guide public health decisions. Low cycle threshold (CT) counts may indicate greater SARS-CoV-2 concentrations in the respiratory tract, and thereby may be used as a surrogate marker of enhanced viral transmission. Several population studies have found an association between the oscillations in the mean CT over time and the evolution of the pandemic. For the first time, we applied temporal series analysis (Granger-type causality) to validate the CT counts as an epidemiological marker of forthcoming pandemic waves using samples and analyzing cases and hospital admissions during the third pandemic wave (October 2020 to May 2021) in Madrid. A total of 22,906 SARS-CoV-2 RT-PCR-positive nasopharyngeal swabs were evaluated; the mean CT value was 27.4 (SD: 2.1) (22.2% below 20 cycles). During this period, 422,110 cases and 36,727 hospital admissions were also recorded. A temporal association was found between the CT counts and the cases of COVID-19 with a lag of 9-10 days (p ≤ 0.01) and hospital admissions by COVID-19 (p < 0.04) with a lag of 2-6 days. According to a validated method to prove associations between variables that change over time, the short-term evolution of average CT counts in the population may forecast the evolution of the COVID-19 pandemic.

Cross-Sectional Analysis of Risk Factors for Outbreak of COVID-19 in Nursing Homes for Older Adults in the Community of Madrid.

INTRODUCTION: Nursing homes for older adults have been hot spots for SARS-CoV-2 infections and mortality. Factors that facilitate COVID-19 outbreaks in these settings need to be assessed. METHODS: A retrospective cross-sectional study of a cohort of residents and workers in nursing homes taking occasion of a point seroprevalence survey was done in the Community of Madrid. Factors related to outbreaks in these facilities were analyzed. RESULTS: A total of 369 nursing homes for older adults, making a population of 23,756 residents and 20,795 staff members, were followed from July to December 2020. There were 54.2% SARS-CoV-2 IgG+ results in residents and in 32.2% of workers. Sixty-two nursing homes (16.8%) had an outbreak during the follow-up. Nursing homes with outbreaks had more residents than those without (median number of 81 [IQR, 74] vs. 50 [IQR, 56], p < 0.001). Seropositivity for SARS-CoV-2 was lower in facilities with versus without outbreaks, for residents (42.2% [IQR, 55.7] vs. 58.7% [IQR, 43.4], p = 0.002) and for workers (23.9% [IQR, 26.4] vs. 32.8% [IQR, 26.3], p = 0.01). For both residents and staff, the number of infections in outbreaks was larger in centers with lower, as compared with intermediate or high seroprevalence. The size of the facility did not correlate with the number of cases in the outbreak. Taking the incidence of cases in the community as a time-dependent variable (p = 0.03), a Cox analysis (HR [95% CI], p) showed that intermediate or high seroprevalence among residents in the facility was related to a reduction of 55% (0.45 [0.25-0.80], p = 0.007) and 78% (0.22 [0.10-0.48], p < 0.001) in the risk of outbreaks, respectively, as compared with low sero-prevalence. Also, as compared with smaller, medium (1.91 [1.00-3.65], p = 0.05) or large centers (4.57 [2.38-8.75], p < 0.001) had more respective risk of outbreaks. CONCLUSIONS: The size of the facility and the seroprevalence among residents in nursing homes, and the incidence of infections in the community, are associated with the risk of outbreaks of COVID-19. Facilities with greater proportion of seropositives had smaller number of cases. Monitoring of immunity in nursing homes may help detect those at a greater risk of future cases.

A Pilot Study for the Evaluation of an Interferon Gamma Release Assay (IGRA) To Measure T-Cell Immune Responses after SARS-CoV-2 Infection or Vaccination in a Unique Cloistered Cohort.

Assessment of T-cell responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigens may be of value to determine long-lasting protection to breakthrough infections or reinfections. Interferon gamma release assay is a validated method to test cellular immunity in mycobacterial infections and has been proposed for patients with SARS-CoV-2 infection or vaccination. Quantitative IgG to spike and qualitative IgG to nucleocapsid antigens were determined by chemiluminescence microparticle immunoassay using the Architect platform (Abbott), and interferon gamma release assays against two Qiagen proprietary mixes of SARS-CoV-2 spike protein (antigen 1 and antigen 2) were performed for a selected group of subjects. A total of 121 subjects in a cloistered institution after a COVID-19 outbreak was studied. IgG spike levels and interferon gamma concentrations were highest among subjects after two doses of vaccine, followed by patients with a longer history of past COVID-19 and no vaccination. The best cutoff for the interferon gamma assay was 25 IU/L for all subgroups of individuals and the two sets of SARS-CoV-2 antigens studied. Testing T-cell response may be of clinical utility to determine immunity after exposure to SARS-CoV-2 antigens, with the interferon gamma concentration of 25 IU/L as the best cutoff either after infection or vaccination.

SARS-CoV-2 detection in wastewater as an early warning indicator for COVID-19 pandemic. Madrid region case study.

COVID-19 pandemic is ongoing for more than a year and has changed priorities and boosted some WBE studies. The aim of this work is to contributed to our knowledge sharing the methodology developed for SARS-CoV-2 detection in wastewater of Madrid region of over six million and a half inhabitants, where the sewer system is a combined system. At first, a pilot test in a small metropolitan area was carried out in order to define the criteria for the selection of the sampling points to be applied to the entire region. Methodologys for laboratory analysis and statistical analysis and interpretation of data are also presented. This work relies highly on fieldwork, so sewer network safe accessibility is paramount. A total of 289 sampling points were weekly characterised. Each sampling point represents a sewershed, some of them in a cascade distribution. Samples are tested for SARS-CoV-2 concentration (gc/L, genome copies per litre) and physicochemical parameters are also analysed to validate or discard what at first could be an unusual virus presence. Field results are correlated with health indicators such as incidence rates and hospitalisation data. This information is daily shared with regional health authorities, disaggregated by municipalities, or aggregated for the entire Madrid region. Results have proved to anticipate health indicators. The tool is used as an early warning indicator for COVID-19 pandemic. Further work is planned to apply the current scheme for a permanent epidemiological surveillance system of 87 sampling points to pinpoint infection hotspots and activate the linked sewersheds in the event of an outbreak.

Social Restrictions versus Testing Campaigns in the COVID-19 Crisis: A Predictive Model Based on the Spanish Case.

The global COVID-19 spread has forced countries to implement non-pharmacological interventions (NPI) (i.e., mobility restrictions and testing campaigns) to preserve health systems. Spain is one of the most severely impacted countries, both clinically and economically. In an effort to support policy decision-making, we aimed to assess the impacts of different NPI on COVID-19 epidemiology, healthcare costs and Gross Domestic Product (GDP). A modified Susceptible-Exposed-Infectious-Removed epidemiological model was created to simulate the pandemic evolution. Its output was used to populate an economic model to quantify healthcare costs and GDP variation through a regression model which correlates NPI and GDP change from 42 countries. Thirteen scenarios combining different NPI were consecutively simulated in the epidemiological and economic models. Both increased testing and stringency could reduce cases, hospitalizations and deaths. While policies based on increased testing rates lead to higher healthcare costs, increased stringency is correlated with greater GDP declines, with differences of up to 4.4% points. Increased test sensitivity may lead to a reduction of cases, hospitalizations and deaths and to the implementation of pooling techniques that can increase throughput testing capacity. Alternative strategies to control COVID-19 spread entail differing economic outcomes. Decision-makers may utilize this tool to identify the most suitable strategy considering epidemiological and economic outcomes.

Virological Correlates of IgM-IgG Patterns of Response to SARS-CoV-2 Infection According to Targeted Antigens.

The virological meaning of the different patterns of serology in COVID-19 has been little examined in clinical settings. Asymptomatic subjects with IgM-spike (S) and IgG-nucleocapsid (N) determinations by chemiluminescence were studied for SARS-CoV-2 shedding in respiratory secretions by transcription-mediated amplification (TMA). In subjects showing IgM-S positive and IgG-N negative, IgG-S was determined by lateral flow assay. A total of 712 individuals were tested: 30.0% presented IgM-S(+)/IgG-N(-), 25.8% had IgM-S(+)/IgG-N(+) and 44.2% had IgM-S(-)/IgG-N(+); the proportion with TMA(+) were comparable in these three groups: 12.1, 8.7 and 10.5%, respectively. In individuals with IgM-S(+)/IgG-N(-), IgG-S(+) was detected in 66.5%. The frequency of IgM-S(+)/IgG-S(-) in the total population was 10.0%, of whom 24.1% had TMA(+); the chances for TMA(+) in subjects with an IgM-S(+) alone pattern were 2.4%. Targeting of the same SARS-CoV-2 antigen seems to be better for the characterization of IgM/IgG patterns of response. IgM-S(+) alone reactivity is rare, and a small proportion is associated with viral shedding.

The demography and characteristics of SARS-CoV-2 seropositive residents and staff of nursing homes for older adults in the Community of Madrid: the SeroSOS study.

BACKGROUND: Nursing homes for older adults have concentrated large numbers of severe cases and deaths for coronavirus disease 2019 (COVID-19). METHODS: Point seroprevalence study of nursing homes to describe the demography and characteristic of severe acute respiratory syndrome by coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG)-positive residents and staff. RESULTS: Clinical information and blood samples were available for 9,332 residents (mean age 86.7 ± 8.1 years, 76.4% women) and 10,614 staff (mean age 45.6 ± 11.5, 86.2% women). Up to 84.4% of residents had frailty, 84.9% co-morbidity and 69.3% cognitive impairment; 65.2% of workers were health-aides.COVID-19 seroprevalence was 55.4% (95% confidence interval (CI), 54.4-56.4) for older adults and 31.5% (30.6-32.4) for staff. In multivariable analysis, frailty of residents was related with seropositivity (odds ratio (OR): 1.19, P = 0.02). In the case of staff, age > 50 years (2.10, P < 0.001), obesity (1.19, P = 0.01), being a health-aide (1.94, P < 0.001), working in a center with high seroprevalence in residents (3.49, P < 0.001) and contact with external cases of COVID-19 (1.52, P < 0.001) were factors associated with seropositivity. Past symptoms of COVID-19 were good predictors of seropositivity for residents (5.41, P < 0.001) and staff (2.52, P < 0.001). CONCLUSIONS: Level of dependency influences risk of COVID-19 among residents. Individual and work factors, contacts outside the nursing home are associated with COVID-19 exposure in staff members. It is key to strengthen control measures to prevent the introduction of COVID-19 into care facilities from the community.

Recomendaciones sobre el uso de pruebas antigénicas en el diagnóstico de la infección aguda por SARS-CoV-2 en la segunda onda pandémica: actitud en distintos contextos clínicos / Recommendations for use of antigenic tests in the diagnosis of acute SARS-CoV-2 infection in the second pandemic wave: attitude in different clinical settings

La alta transmisibilidad del SARS-CoV-2 antes y poco después de la aparición de los síntomas sugiere que sólo diagnosticar y aislar a pacientes sintomáticos puede no ser suficiente para interrumpir la propagación de la infección; por ello son también necesarias medidas de salud pública como el distanciamiento social. Adicionalmente será importante detectar a los nuevos infectados que permanecen asintomáticos, que pueden ascender al 50% o más de los casos. Las técnicas moleculares son el patrón de referencia para el diagnóstico de infección por SARS-CoV-2. Sin embargo, el uso masivo de estas técnicas ha generado algunos problemas. Por un lado, la escasez de los recursos (analizadores, fungibles y reactivos), y por otro el retraso en la notificación de resultados. Estos dos hechos se traducen en un retraso en la aplicación de las medidas de aislamiento entre casos y contactos, lo que favorece la expansión de la infección. Las pruebas de detección de antígenos son también métodos de diagnóstico directo, con la ventaja de obtener el resultado en pocos minutos y en el mismo lugar de atención. Además, la sencillez y el bajo coste de estas pruebas permiten repetirlas en días sucesivos en determinados contextos clínicos. La sensibilidad de las pruebas de antígenos es generalmente menor que la de las que detectan ácidos nucleicos, si bien su especificidad es comparable. Se ha comprobado que las pruebas antigénicas tienen más validez en los días alrededor del inicio de síntomas, cuando la carga viral en nasofaringe es mayor. Disponer de un análisis de detección viral rápido y en tiempo real como la prueba de antígenos se ha demostrado más útil para controlar la expansión de la infección que pruebas más sensibles, pero de mayor coste y tiempo de respuesta, como son las pruebas moleculares. Las principales instituciones sanitarias como la OMS, los CDC y el propio Ministerio de Sanidad del Gobierno de España plantean el uso de las pruebas antigénicas en una amplia variedad de estrategias para responder a la pandemia. El presente documento pretende servir de apoyo a los médicos implicados en la atención de pacientes con sospecha de infección por SC2, en el contexto de una incidencia creciente en España desde septiembre de 2020 que representa ya la segunda onda pandémica de COVID-19

The high transmissibility of SARS-CoV-2 before and shortly after the onset of symptoms suggests that only diagnosing and isolating symptomatic patients may not be sufficient to interrupt the spread of infection; therefore, public health measures such as personal distancing are also necessary. Additionally, it will be important to detect the newly infected individuals who remain asymptomatic, which may account for 50% or more of the cases. Molecular techniques are the "gold standard" for the diagnosis of SARS-CoV-2 infection. However, the massive use of these techniques has generated some problems. On the one hand, the scarcity of resources (analyzers, fungibles and reagents), and on the other the delay in the notification of results. These two facts translate into a lag in the application of isolation measures among cases and contacts, which favors the spread of the infection. Antigen detection tests are also direct diagnostic methods, with the advantage of obtaining the result in a few minutes and at the very "pointof-care". Furthermore, the simplicity and low cost of these tests allow them to be repeated on successive days in certain clinical settings. The sensitivity of antigen tests is generally lower than that of nucleic acid tests, although their specificity is comparable. Antigenic tests have been shown to be more valid in the days around the onset of symptoms, when the viral load in the nasopharynx is higher. Having a rapid and real-time viral detection assay such as the antigen test has been shown to be more useful to control the spread of the infection than more sensitive tests, but with greater cost and response time, such as in case of molecular tests. The main health institutions such as the WHO, the CDC and the Ministry of Health of the Government of Spain propose the use of antigenic tests in a wide variety of strategies to respond to the pandemic. This document aims to support physicians involved in the care of patients with suspected SC2 infection, in the context of a growing incidence in Spain since September 2020, which already represents the second pandemic wave of COVID-19

Impact of periodontal therapy on systemic markers of inflammation in patients with metabolic syndrome: A randomized clinical trial.

AIM: To determine the impact of periodontal treatment on systemic markers of inflammation in patients with metabolic syndrome (MetS) and periodontitis. MATERIALS AND METHODS: In this parallel-arm, double-blind, randomized controlled clinical trial, 63 patients with MetS and severe periodontitis were randomly assigned to receive either intensive periodontal treatment (IPT; scaling and root planing plus azithromycin 500 mg every day for 3 days) or minimal periodontal treatment (MPT; supragingival professional mechanical plaque removal plus a placebo). The primary outcome was the impact of the tested interventions on high-sensitivity C-reactive protein (hs-CRP) serum levels at 6 months. As secondary outcomes, differences in the levels of cytokines, markers of prothrombotic states, carbohydrate and lipid metabolism, as well as blood pressure, were measured at 3 and 6 months after therapy. RESULTS: The intention-to-treat population consisted of 63 subjects randomly assigned to either the MPT (n = 31) or the IPT (n = 32) group. At baseline, mean hs-CRP was 3.9 mg/L (standard deviation [SD] = 2.9) and 3.9 mg/L (SD = 3.4), respectively, and no significant differences in cardiometabolic risk profiles were detected between the groups. Adjusting for baseline hs-CRP, sex, age, smoking status and body mass index, hs-CRP at 6 months was 1.2 mg/L (95% CI 0.4; 2.0; P = .004) lower in the IPT group than in the MPT group. In the secondary outcomes, significant reductions in IL-1ß, TNF-α, HbA1c and blood pressure were observed in the IPT group at 3 months compared with the MPT group. CONCLUSION: Effective periodontal treatment significantly reduced hs-CRP after 6 months in patients with MetS and severe periodontitis. Periodontal therapy might be useful to reduce cardiovascular risk in these patients.

Admittances characteristics by sepsis in the Spanish internal medicine services between 2005 and 2015: mortality pattern.

BACKGROUND: Studies in recent years suggest an increase in the incidence of sepsis but a decrease in mortality. The aim of this study is to describe the characteristics of patients discharged after a sepsis episode from Spanish internal medicine services between 2005 and 2015. RESULTS: Since 2005, in which there were a total of 4,319 cases, sepsis hospitalizations has been consistently increasing yearly reaching a total of 25,820 cases in 2015. We observed that septic patients are older and with higher comorbidity than the general population admitted in Internal Medicine. On the other hand, we found a decreasing trend in the mortality rates of patients with sepsis in our series going from 35.7% in 2005 to 30.1% in 2015 (p < 0.005). DISCUSSION: In our study, a higher comorbidity at admission and developing complications during admittance, conditioned a higher probability of death due to sepsis. The variables that were associated with increased mortality risk were age, acute renal failure, acute respiratory failure, lactic acidosis, septic shock and chronic heart failure. CONCLUSION: As in other similar studies, we observed an increase in the hospitalizations by sepsis as a diagnosis at discharge during the study period in Internal Medicine services with a simultaneous decrease in mortality. Comorbidity at admission and complications during admittance condition mortality.

Trends in Diabetes-Related Potentially Preventable Hospitalizations in Adult Population in Spain, 1997⁻2015: A Nation-Wide Population-Based Study.

We aimed to assess national trends in the rates of diabetes-related potentially preventable hospitalizations (overall and by preventable condition) in the total adult population of Spain. We performed a population-based study of all adult patients with diabetes who were hospitalized from 1997 to 2015. Overall potentially preventable hospitalizations and hospitalizations by diabetes-related preventable conditions (short-term complications, long-term complications, uncontrolled diabetes, and lower-extremity amputations) were examined. Annual rates adjusted for age and sex were analyzed and trends were calculated. Over 19-years-period, 424,874 diabetes-related potentially preventable hospitalizations were recorded. Overall diabetes-related potentially preventable hospitalizations decreased significantly, with an average annual percentage change of 5.1 (95%CI: -5.6-(-4.7%); ptrend < 0.001). Among preventable conditions, the greatest decrease was observed in uncontrolled diabetes (-5.6%; 95%CI: -6.7-(-4.7%); ptrend < 0.001), followed by short-term complications (-5.4%; 95%CI: -6.1-(-4.9%); ptrend < 0.001), long-term complications (-4.6%; 95%CI: -5.1-(-3.9%); ptrend < 0.001), and lower-extremity amputations (-1.9%; 95%CI: -3.0-(-1.3%); ptrend < 0.001). These reductions were observed in all age strata for overall DM-related PPH and by preventable condition but lower-extremity amputations for those <65 years old. There was a greater reduction in overall DM-related PPH, uncontrolled DM, long-term-complications, and lower extremity amputations in females than in males (all p < 0.01). No significant difference was shown for short-term complications (p = 0.101). Our study shows a significant reduction in national trends for diabetes-related potentially preventable hospitalizations in Spain. These findings could suggest a sustained improvement in diabetes care in Spain, despite the burden of these diabetes-related complications and the increase in the diabetes mellitus prevalence.

Prevalence, Clinical Characteristics, and Risk Factors for Non-recording of Alcohol Use in Hospitals across Europe: The ALCHIMIE Study.

AIM: To determine the detection rates, clinical features, and risk factors for lack of registration of alcohol use in medical patients admitted in European hospitals. METHODS: A point-prevalence, cross-sectional, multicenter survey involving 2100 medical inpatients from 43 hospitals from 8 European countries. Patients were screened for current alcohol use, using standardized questionnaires. Alcohol use recording in medical records was assessed. RESULTS: Of the 2100, more than a half reported alcohol use. Significant differences were shown in the prevalence of drinking and the recording rates of alcohol use among the hospitals and countries involved. Overall, 346 patients (16%) fulfilled criteria for alcohol use disorder. Alcohol use was registered in 909 (43%) of medical records, with quantification in 143 (7%). Multivariate analysis showed that women (OR 1.49), older age patients (OR 1.23), patients from the Northern European countries (OR 4.79) and from hospitals with high local alcohol prevalence (OR 1.59) were more likely to have lack of alcohol use registration in their medical files. CONCLUSIONS: A considerable proportion of medical patients admitted in European hospitals fulfill criteria for alcohol use disorders. These patients are frequently overlooked during hospitalization and not appropriately registered in medical records. Women, older patients, and inpatients from European areas with high local alcohol use prevalence are at higher risk associated with a non-recording of alcohol use.

Prolonged length of stay in hospitalized internal medicine patients.

BACKGROUND: Targeting patients with prolonged hospitalizations may represent an effective strategy for reducing average hospital length of stay (LOS). OBJECTIVE: We sought to characterize predictors of prolonged hospitalization among internal medicine patients in an effort to guide future improvement efforts. DESIGN: We conducted a retrospective cohort study using administrative data of internal medicine patients from all hospitals of the Spanish Public Health Service between January 1st, 2005 and December 31st, 2013. Multivariable logistic regression was performed to assess the association between sociodemographic and clinical variables and prolonged LOS, defined as >30days. KEY RESULTS: Of 5,275,139 discharges, 166,470 (3.2%) had a prolonged LOS. Prolonged hospitalizations accounted for 17.4% of total inpatient days and contributed 0.5days to an average LOS of 9.8days during the study period. Prolonged hospitalizations were associated with younger age (odds ratio [OR]: 0.97 per 10-year increase in age, 95% confidence interval [CI]: 0.96-0.98) and male gender (OR 0.88 IC95% 0.87-0.89). Compared to patients without prolonged LOS, prolonged LOS patients were more likely to require a palliative care consult (OR: 2.48, 95% CI: 2.39-2.58), surgery (OR: 6.9 95% CI: 6.8-7.0); and be discharged to a post-acute-care facility (OR: 2.91, 95% CI: 2.86-2.95). CONCLUSIONS: Prolonged hospitalizations in a small proportion of patients were an important contributor to overall LOS and particularly affected complex hospital stays who were not discharged home.

Prognostic Value of the Six-Second Spirometry in Patients with Chronic Obstructive Pulmonary Disease: A Cohort Study.

BACKGROUND: The six-second spirometry has been proposed as an alternative to diagnose airflow limitation, although its prognostic value in patients with chronic obstructive pulmonary disease (COPD) remains unknown. The purpose of this study was to determine the prognostic value of the postbronchodilator forced expiratory volume in 1 second (FEV1)/forced expiratory volume in 6 seconds (FEV6) ratio and FEV6 in COPD patients. METHODS AND FINDINGS: The study population consisted of 2,614 consecutive stable patients with COPD. The patients were monitored for an average period of 4.3 years regarding mortality, hospitalizations by COPD exacerbations, diagnosis of lung cancer, and annual lung function decline. The overall rate of death was 10.7 (95%CI: 8.7-12.7) per 1000 person-years. In addition to male gender, age and comorbidity, FEV6 (hazard ratio [HR]: 0.981, 95%CI: 0.968-0.003) and FEV1/FEV6 quartiles (lowest quartile (<74% pred.): HR 3.558, 95%CI: 1.752-7.224; and second quartile (74-84% pred.): HR 2.599, 95%CI: 1.215-5.561; versus best quartile (>0.89% pred.)) were independently associated with mortality, whereas FEV1 was not retained in the model. 809 patients (30.9%) had at least one hospital admission due to COPD exacerbation. In addition to sex, age, smoking and comorbidity, FEV1 and FEV1/FEV6 quartiles were independent risk factors of hospitalization. FEV6 was the only spirometric parameter independently related with lung function annual decline, while the FEV6 and FEV1/FEV6 quartiles were independent risk factors for lung cancer. CONCLUSIONS: In a general COPD outpatient population, airflow obstruction assessed by the FEV1/FEV6 is an independent risk factor for both death and hospitalization.

The frequency and impact of hypoglycemia among hospitalized patients with diabetes: A population-based study.

We aimed to evaluate the frequency of hypoglycemia and its impact on the length of stay and all-cause in-hospital mortality in hospitalized patients with diabetes. We used data from the Basic Minimum Data Set of the Spanish National Health System. Hypoglycemia was defined as having an ICD-9-CM code 250.8, 251.0, 251.1, and 251.2, and categorized as primary if it was the main cause of admission and secondary if it occurred during the hospital stay. The association between hypoglycemia and the study outcomes was evaluated in two cohorts - with and without secondary hypoglycemia - matched by propensity scores and using multivariate models. Among the 5,447,725 discharges with a diagnosis of diabetes recorded from January 1997 to December 2010, there were 92,591 (1.7%) discharges with primary hypoglycemia and 154,510 (2.8%) with secondary hypoglycemia. The prevalence of secondary hypoglycemia increased from 1.1% in 1997 to a peak of 3.8% in 2007, while the prevalence of primary hypoglycemia remained fairly stable. Primary hypoglycemia was associated with reduced in-hospital mortality (Odds ratio [OR] 0.06; 95% Confidence interval [CI], 0.03-0.10) and a significant decrease in time to discharge (Hazard ratio [HR] 2.53; 95% CI, 2.30-2.76), while secondary hypoglycemia was associated with an increased likelihood of in-hospital mortality (OR 1.12; 95% CI, 1.09-1.15) and a significant increase in time to discharge (HR 0.80; 95% CI, 0.79-0.80). In conclusion, the prevalence of secondary hypoglycemia is increasing in patients with diabetes and is associated with an increased likelihood of in-hospital mortality and a longer hospital stay.

Frequency of hypoglycemia and its impact on length of stay, mortality, and short-term readmission in patients with diabetes hospitalized in internal medicine wards.

OBJECTIVE: To evaluate whether hypoglycemia is associated with increases in length of stay (LOS), inpatient mortality, and readmission among patients with diabetes hospitalized in internal medicine wards. METHODS: A retrospective cohort study was carried out using the Basic Minimum Data Set registry of the Spanish National Health System, which contains clinical and administrative information for every patient discharged from system hospitals. The analysis included patients discharged between January 2005 and December 2010 and had a primary (i.e., reason for the admission) or secondary diagnosis of diabetes and a secondary diagnosis of hypoglycemia. The associations between hypoglycemia and the study outcomes (mortality, readmission, and LOS) were evaluated using multivariate and multilinear regression models that included age, sex, and the Charlson index as covariates. RESULTS: During the study period, 3,361,104 patients were admitted to internal medicine wards in the National Health System. Of these, 921,306 (27.4%) had diagnoses of diabetes, and among these patients, 46,408 (5%) had secondary hypoglycemia. A total of 4,754 (10.2%) patients with secondary hypoglycemia died during their hospital stays, compared with 83,508 (9.5%) patients without hypoglycemia. The multivariate/multilinear regression models demonstrated significant associations between the presence of secondary hypoglycemia and greater inpatient mortality (odds ratio [OR] 1.24, 95% confidence interval [CI] 1.20-1.28), a greater likelihood of readmission (OR 1.20, 95% CI 1.17-1.23), and an increased LOS (ß 1.24, 95% CI 1.15-1.35). CONCLUSION: Hypoglycemia in patients with diabetes hospitalized in internal medicine wards is associated with increases in the LOS, inpatient mortality, and early readmission.

Low prevalence of hyponatremia codification in departments of internal medicine and its prognostic implications.

OBJECTIVE: Hyponatremia is the most frequent ionic disorder among ambulatory and hospitalized populations. The aim of the study is to describe the profile of patients admitted to internal medicine departments of Spanish hospitals with a diagnostic codification of hyponatremia in their discharge sheets. METHODS: Data from the Minimum Basic Data Set (MBDS) of discharged patients from all departments of internal medicine (IM) of the Spanish National Health System (NHS) between 2007 and 2010 were analyzed to describe the profile of patients with diagnostic codification of hyponatremia. RESULTS: A total of 2,134,363 admittances were analyzed, identifying 31,933 (1.5%) with a diagnostic code of hyponatremia (18.3% as principal diagnosis and 81.7% as secondary diagnosis). Mortality among patients with codified hyponatremia was markedly higher than in patients without this condition (13.1% vs 9.8% [OR 1.38; 95% CI 1.33-1.41]). Hyponatremia codification was independently associated with a higher risk of readmission (OR 1.33 CI 95% 1.29-1.38). Average length of stay for patients with hyponatremia was 11.67 days (SD 13.01), compared to 9.84 days (SD 11.61) among the general population admitted to IM (p < 0.001). Mean cost per admission in the presence of codified hyponatremia was €4023 (SD €2531), compared to €3537 (SD €2858.02); p < 0.001. Hyponatremia was more prevalent among patients with the following conditions: dementia, chronic and acute renal failure, hepatic cirrhosis, pressure ulcers, heart failure, and depression. CONCLUSIONS: We found an extremely low prevalence of hyponatremia codification in our series (1.5%). Hyponatremia is underreported and undertreated although numerous studies have shown its devastating impact on hospital admittance. The first step in order to improve this situation is to raise awareness among physicians about a problem that despite its high prevalence is still overlooked.

Hip fracture in hospitalized medical patients.

BACKGROUND: The aim of the present study is to analyze the incidence of hip fracture as a complication of admissions to internal medicine units in Spain. METHODS: We analyzed the clinical data of 2,134,363 adults who had been admitted to internal medicine wards. The main outcome was a diagnosis of hip fracture during hospitalization.Outcome measures included rates of in-hospital fractures, length of stay and cost. RESULTS: A total of 1127 (0.057%) admittances were coded with an in-hospital hip fracture. In hospital mortality rate was 27.9% vs 9.4%; p < 0.001, and the mean length of stay was significantly longer for patients with a hip fracture (20.7 days vs 9.8 days; p < 0.001). Cost were higher in hip-fracture patients (6927€ per hospitalization vs 3730€ in non fracture patients). Risk factors related to fracture were: increasing age by 10 years increments (OR 2.32 95% CI 2.11-2.56), female gender (OR 1.22 95% CI 1.08-1.37), admission from nursing home (OR 1.65 95% CI 1.27-2.12), dementia (1.55 OR 95% CI1.30-1.84), malnutrition (OR 2.50 95% CI 1.88-3.32), delirium (OR 1.57 95% CI 1.16-2.14), and anemia (OR 1.30 95%CI 1.12-1.49). CONCLUSIONS: In-hospital hip fracture notably increased mortality during hospitalization, doubling the mean length of stay and mean cost of admission. These are reasons enough to stress the importance of designing and applying multidisciplinary plans focused on reducing the incidence of hip fractures in hospitalized patients.