Appropriateness of Empirical Antibiotic Therapy for Cervicitis and Urethritis Prescribed in the Emergency Department.

Objectives: Sexually transmitted infections are a prevalent global health care problem. Treatment guidelines have recently been updated as a result of antimicrobial resistance and public health trends. The aim of the study was to assess the appropriateness of empirical antibiotic therapy prescribed for cervicitis and urethritis in the emergency department. Methods: We designed a retrospective observational cohort study. We included adult patients with suspected cervicitis or urethritis who attended the emergency department of a tertiary hospital in 2020. We excluded patients with suspected pelvic inflammatory disease, pregnancy or prostatitis and those requiring admission to hospital. Appropriateness of empirical antibiotic therapy was evaluated taking into account 4 aspects: indication, dosing, duration of therapy, and route of administration. Data were obtained from the electronic medical record, the electronic prescription program, and the discharge summary. Results: The study population comprised 176 patients; mean age was 28.9 years (SD = 7.7), and 90.9% were men. The most prescribed treatment was the combination of ceftriaxone and azithromycin (83.0%). Treatment was inappropriate in 71.6% of patients. A total of 159 drug errors were recorded. The most frequent cause was undertreatment (36.4%) related to underdosing (46.5%), particularly with regard to ceftriaxone. The percentage of errors was 11.9% for indication, 84.9% for dosing, 3.1% for duration, and 0% for route of administration. Conclusions: A high percentage of patients who attended the emergency department for suspected cervicitis or urethritis received an inappropriate empirical antibiotic regimen. The main reason was undertreatment due to underdosing.

Level of concordance between two risk-assessment models for predicting venous thromboembolism in medical patients at admission.

OBJECTIVES: To evaluate the level of concordance between the 2007 PRETEMED guidelines and the 2012 American College of Chest Physicians (ACCP) guidelines in medical patients at admission. METHODS: A cross-sectional, observational and descriptive study was designed and included all adult medical patients admitted from an emergency department. Firstly, patients classified as low-moderate risk and high risk according to PRETEMED were compared to those classified by ACCP as low and high risk. Secondly, the same analysis was performed but this time low and moderate-high risk patients according to PRETEMED were compared to ACCP low and high risk patients. The level of concordance was calculated using the kappa concordance index. The study was approved by the Ethics Committee for Clinical Research of the hospital. RESULTS: The analysis was performed with 207 patients; 53.1% were male and the median age was 75.3 years (minimum 18, maximum 100 years old). The most common diagnosis at admission was related to a respiratory disease (37.2%). The level of concordance was 0.59 (95% CI 0.48 to 0.70) when moderate risk patients were grouped with low-risk patients and 0.53 (95% CI 0.42 to 0.65) when moderate risk patients were grouped with high-risk patients. CONCLUSIONS: The level of concordance between both guides is moderate. It would be helpful to confirm whether the level of agreement improves when the patient's condition stabilises after several days of hospitalisation.

Usefulness of midregional proadrenomedullin to predict poor outcome in patients with community acquired pneumonia.

BACKGROUND: midregional proadrenomedullin (MR-proADM) is a prognostic biomarker in patients with community-acquired pneumonia (CAP). We sought to confirm whether MR-proADM added to Pneumonia Severity Index (PSI) improves the potential prognostic value of PSI alone, and tested to what extent this combination could be useful in predicting poor outcome of patients with CAP in an Emergency Department (ED). METHODS: Consecutive patients diagnosed with CAP were enrolled in this prospective, single-centre, observational study. We analyzed the ability of MR-proADM added to PSI to predict poor outcome using receiver operating characteristic (ROC) curves, logistic regression and risk reclassification and comparing it with the ability of PSI alone. The primary outcome was "poor outcome", defined as the incidence of an adverse event (ICU admission, hospital readmission, or mortality at 30 days after CAP diagnosis). RESULTS: 226 patients were included; 33 patients (14.6%) reached primary outcome. To predict primary outcome the highest area under curve (AUC) was found for PSI (0.74 [0.64-0.85]), which was not significantly higher than for MR-proADM (AUC 0.72 [0.63-0.81, p > 0.05]). The combination of PSI and MR-proADM failed to improve the predictive potential of PSI alone (AUC 0.75 [0.65-0.85, p=0.56]). Ten patients were appropriately reclassified when the combined PSI and MR-proADM model was used as compared with the model of PSI alone. Net reclassification improvement (NRI) index was statistically significant (7.69%, p = 0.03) with an improvement percentage of 3.03% (p = 0.32) for adverse event, and 4.66% (P = 0.02) for no adverse event. CONCLUSION: MR-proADM in combination with PSI may be helpful in individual risk stratification for short-term poor outcome of CAP patients, allowing a better reclassification of patients compared with PSI alone.

[Hospital care of patients with A/H1N1 influenza: evaluation of the first 1000 reported cases in Spain]. / Demanda de atención hospitalaria por gripe A/H1N1: evaluación de los primeros 1.000 casos atendidos.

INTRODUCTION AND OBJECTIVES: Influenza A is expected to have a great impact in countries in the northern hemisphere yet little has been reported about how this outbreak can affect hospital care. The aim of this study is to assess patients who demand care for flu symptoms and their outcome. MATERIAL AND METHODS: From the beginning of the outbreak a specific protocol was established for the care of patients with potential influenza A in admission, emergency and hospitalization ward. A nominal registry was designed with clinical and epidemiological data. RESULTS: 1018 patients were evaluated for potential influenza A from the beginning of the outbreak until the 31(st) August, 2009. 77% of them fulfilled clinical criteria and were classified as suspected cases. Mean age was 31,7 years (SD17,2), 52% were women, 3,3% pregnant or puerperal. The admission rate was 23,4% with a global mean stay of 3,5 days, and 2,5 for the adults who were admitted to the short stay hospital unit. 2,8 % had pneumonia, two patients required admission to the intensive care unit and one of them died. CONCLUSIONS: Our data show an outbreak with mild illness, with a remarkable percentage of pneumonia but with good outcome. Despite of the high percentage of admissions, and in order to avoid the misleading attention to other patients, we believe that an assistance model based in specific units, short stay and post-discharge follow up could be suitable.