Home treatment of venous thromboembolism disease. / Tratamiento domiciliario de la enfermedad tromboembólica venosa.

Despite the potential benefits of outpatient care, most patients with pulmonary embolisms are treated in hospitals for fear of possible adverse events. However, there is a wealth of scientific evidence from studies covering more than 4000 outpatients, which has led the current clinical practice guidelines to recommend early discharge or outpatient treatment when a low risk of death or complications has been confirmed, when there are no comorbidities or aggravating processes present to warrant hospitalisation and when appropriate monitoring and treatment are observed. This approach minimises the complications that can arise in hospitals and represents considerable cost savings. When selecting these patients, the use of prognostic tools such as the Pulmonary Embolism Severity Index (PESI), its simplified version (sPESI) and the Hestia Criteria are of paramount importance. Using these tools, the short-term outcomes (30-90days) show low mortality (in general <3%) and a low incidence of other complications (rate of recurrence and major bleeding <2%). Based on the available evidence, outpatient treatment can be considered the most appropriate strategy at this time for most hemodynamically stable patients with pulmonary embolisms.

Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study).

Considering sex as a biological variable in modern digital health solutions, we investigated sex-specific differences in the trajectory of four physiological parameters across a COVID-19 infection. A wearable medical device measured breathing rate, heart rate, heart rate variability, and wrist skin temperature in 1163 participants (mean age = 44.1 years, standard deviation [SD] = 5.6; 667 [57%] females). Participants reported daily symptoms and confounders in a complementary app. A machine learning algorithm retrospectively ingested daily biophysical parameters to detect COVID-19 infections. COVID-19 serology samples were collected from all participants at baseline and follow-up. We analysed potential sex-specific differences in physiology and antibody titres using multilevel modelling and t-tests. Over 1.5 million hours of physiological data were recorded. During the symptomatic period of infection, men demonstrated larger increases in skin temperature, breathing rate, and heart rate as well as larger decreases in heart rate variability than women. The COVID-19 infection detection algorithm performed similarly well for men and women. Our study belongs to the first research to provide evidence for differential physiological responses to COVID-19 between females and males, highlighting the potential of wearable technology to inform future precision medicine approaches.

Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP).

OBJECTIVES: We investigated machinelearningbased identification of presymptomatic COVID-19 and detection of infection-related changes in physiology using a wearable device. DESIGN: Interim analysis of a prospective cohort study. SETTING, PARTICIPANTS AND INTERVENTIONS: Participants from a national cohort study in Liechtenstein were included. Nightly they wore the Ava-bracelet that measured respiratory rate (RR), heart rate (HR), HR variability (HRV), wrist-skin temperature (WST) and skin perfusion. SARS-CoV-2 infection was diagnosed by molecular and/or serological assays. RESULTS: A total of 1.5 million hours of physiological data were recorded from 1163 participants (mean age 44±5.5 years). COVID-19 was confirmed in 127 participants of which, 66 (52%) had worn their device from baseline to symptom onset (SO) and were included in this analysis. Multi-level modelling revealed significant changes in five (RR, HR, HRV, HRV ratio and WST) device-measured physiological parameters during the incubation, presymptomatic, symptomatic and recovery periods of COVID-19 compared with baseline. The training set represented an 8-day long instance extracted from day 10 to day 2 before SO. The training set consisted of 40 days measurements from 66 participants. Based on a random split, the test set included 30% of participants and 70% were selected for the training set. The developed long short-term memory (LSTM) based recurrent neural network (RNN) algorithm had a recall (sensitivity) of 0.73 in the training set and 0.68 in the testing set when detecting COVID-19 up to 2 days prior to SO. CONCLUSION: Wearable sensor technology can enable COVID-19 detection during the presymptomatic period. Our proposed RNN algorithm identified 68% of COVID-19 positive participants 2 days prior to SO and will be further trained and validated in a randomised, single-blinded, two-period, two-sequence crossover trial. Trial registration number ISRCTN51255782; Pre-results.

A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.

OBJECTIVES: It is currently thought that most-but not all-individuals infected with SARS-CoV-2 develop symptoms, but the infectious period starts on average 2 days before the first overt symptoms appear. It is estimated that pre- and asymptomatic individuals are responsible for more than half of all transmissions. By detecting infected individuals before they have overt symptoms, wearable devices could potentially and significantly reduce the proportion of transmissions by pre-symptomatic individuals. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests [to determine if there are antibodies against the SARS-CoV-2 in the blood] or SARS-CoV-2 infection tests such as polymerase chain reaction [PCR] or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the following two algorithms to detect first time SARS-CoV-2 infection including early or asymptomatic infection: • The algorithm using Ava bracelet data when coupled with self-reported Daily Symptom Diary data (Wearable + Symptom Data Algo; experimental condition) • The algorithm using self-reported Daily Symptom Diary data alone (Symptom Only Algo; control condition) In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. TRIAL DESIGN: The trial is a randomized, single-blinded, two-period, two-sequence crossover trial. The study will start with an initial learning phase (maximum of 3 months), followed by period 1 (3 months) and period 2 (3 months). Subjects entering the study at the end of the recruitment period may directly start with period 1 and will not be part of the learning phase. Each subject will undergo the experimental condition (the Wearable + Symptom Data Algo) in either period 1 or period 2 and the control condition (Symptom Only Algo) in the other period. The order will be randomly assigned, resulting in subjects being allocated 1:1 to either sequence 1 (experimental condition first) or sequence 2 (control condition first). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. PARTICIPANTS: The trial will be conducted in the Netherlands. A target of 20,000 subjects will be enrolled. Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. This results in approximately 6500 normal-risk individuals and 3500 high-risk individuals per sequence. Subjects will be recruited from previously studied cohorts as well as via public campaigns and social media. All data for this study will be collected remotely through the Ava COVID-RED app, the Ava bracelet, surveys in the COVID-RED web portal and self-sampling serology and PCR kits. More information on the study can be found in www.covid-red.eu . During recruitment, subjects will be invited to visit the COVID-RED web portal. After successfully completing the enrolment questionnaire, meeting eligibility criteria and indicating interest in joining the study, subjects will receive the subject information sheet and informed consent form. Subjects can enrol in COVID-RED if they comply with the following inclusion and exclusion criteria: Inclusion criteria: • Resident of the Netherlands • At least 18 years old • Informed consent provided (electronic) • Willing to adhere to the study procedures described in the protocol • Must have a smartphone that runs at least Android 8.0 or iOS 13.0 operating systems and is active for the duration of the study (in the case of a change of mobile number, the study team should be notified) • Be able to read, understand and write Dutch Exclusion criteria: • Previous positive SARS-CoV-2 test result (confirmed either through PCR/antigen or antibody tests; self-reported) • Current suspected (e.g. waiting for test result) COVID-19 infection or symptoms of a COVID-19 infection (self-reported) • Participating in any other COVID-19 clinical drug, vaccine or medical device trial (self-reported) • Electronic implanted device (such as a pacemaker; self-reported) • Pregnant at the time of informed consent (self-reported) • Suffering from cholinergic urticaria (per the Ava bracelet's user manual; self-reported) • Staff involved in the management or conduct of this study INTERVENTION AND COMPARATOR: All subjects will be instructed to complete the Daily Symptom Diary in the Ava COVID-RED app daily, wear their Ava bracelet each night and synchronize it with the app each day for the entire period of study participation. Provided with wearable sensor and/or self-reported symptom data within the last 24 h, the Ava COVID-RED app's underlying algorithms will provide subjects with a real-time indicator of their overall health and well-being. Subjects will see one of three messages, notifying them that no seeming deviations in symptoms and/or physiological parameters have been detected; some changes in symptoms and/or physiological parameters have been detected and they should self-isolate; or alerting them that deviations in their symptoms and/or physiological parameters could be suggestive of a potential COVID-19 infection and to seek additional testing. We will assess the intraperson performance of the algorithms in the experimental condition (Wearable + Symptom Data Algo) and control conditions (Symptom Only Algo). Note that both algorithms will also instruct to seek testing when any SARS-CoV-2 symptoms are reported in line with those defined by the Dutch national institute for public health and the environment 'Rijksinstituut voor Volksgezondheid en Milieu' (RIVM) guidelines. MAIN OUTCOMES: The trial will evaluate the use and performance of the Ava COVID-RED app and Ava bracelet, which uses sensors to measure breathing rate, pulse rate, skin temperature and heart rate variability for the purpose of early and asymptomatic detection and monitoring of SARS-CoV-2 in general and high-risk populations. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests, PCR tests and/or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for each of the following two algorithms to detect first-time SARS-CoV-2 infection including early or asymptomatic infection: the algorithm using Ava bracelet data when coupled with the self-reported Daily Symptom Diary data and the algorithm using self-reported Daily Symptom Diary data alone. In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. The protocol contains an additional twenty secondary and exploratory objectives which address, among others, infection incidence rates, health resource utilization, symptoms reported by SARS-CoV-2-infected participants and the rate of breakthrough and asymptomatic SARS-CoV-2 infections among individuals vaccinated against COVID-19. PCR or antigen testing will occur when the subject receives a notification from the algorithm to seek additional testing. Subjects will be advised to get tested via the national testing programme and report the testing result in the Ava COVID-RED app and a survey. If they cannot obtain a test via the national testing programme, they will receive a nasal swab self-sampling kit at home, and the sample will be tested by PCR in a trial-affiliated laboratory. In addition, all subjects will be asked to take a capillary blood sample at home at baseline (between month 0 and 3.5 months after the start of subject recruitment), at the end of the learning phase (month 3; note that this sampling moment is skipped if a subject entered the study at the end of the recruitment period), period 1 (month 6) and period 2 (month 9). These samples will be used for SARS-CoV-2-specific antibody testing in a trial-affiliated laboratory, differentiating between antibodies resulting from a natural infection and antibodies resulting from COVID-19 vaccination (as vaccination will gradually be rolled out during the trial period). Baseline samples will only be analysed if the sample collected at the end of the learning phase is positive, or if the subject entered the study at the end of the recruitment period, and samples collected at the end of period 1 will only be analysed if the sample collected at the end of period 2 is positive. When subjects obtain a positive PCR/antigen or serology test result during the study, they will continue to be in the study but will be moved into a so-called COVID-positive mode in the Ava COVID-RED app. This means that they will no longer receive recommendations from the algorithms but can still contribute and track symptom and bracelet data. The primary analysis of the main objective will be executed using the data collected in period 2 (months 6 through 9). Within this period, serology tests (before and after period 2) and PCR/antigen tests (taken based on recommendations by the algorithms) will be used to determine if a subject was infected with SARS-CoV-2 or not. Within this same time period, it will be determined if the algorithms gave any recommendations for testing. The agreement between these quantities will be used to evaluate the performance of the algorithms and how these compare between the study conditions. RANDOMIZATION: All eligible subjects will be randomized using a stratified block randomization approach with an allocation ratio of 1:1 to one of two sequences (experimental condition followed by control condition or control condition followed by experimental condition). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence, resulting in approximately equal numbers of high-risk and normal-risk individuals between the sequences. BLINDING (MASKING): In this study, subjects will be blinded to the study condition and randomization sequence. Relevant study staff and the device manufacturer will be aware of the assigned sequence. The subject will wear the Ava bracelet and complete the Daily Symptom Diary in the Ava COVID-RED app for the full duration of the study, and they will not know if the feedback they receive about their potential infection status will only be based on the data they entered in the Daily Symptom Diary within the Ava COVID-RED app or based on both the data from the Daily Symptom Diary and the Ava bracelet. NUMBERS TO BE RANDOMIZED (SAMPLE SIZE): A total of 20,000 subjects will be recruited and randomized 1:1 to either sequence 1 (experimental condition followed by control condition) or sequence 2 (control condition followed by experimental condition), taking into account their risk level. This results in approximately 6500 normal-risk and 3500 high-risk individuals per sequence. TRIAL STATUS: Protocol version: 3.0, dated May 3, 2021. Start of recruitment: February 19, 2021. End of recruitment: June 3, 2021. End of follow-up (estimated): November 2021 TRIAL REGISTRATION: The Netherlands Trial Register on the 18th of February, 2021 with number NL9320 ( https://www.trialregister.nl/trial/9320 ) FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this letter serves as a summary of the key elements of the full protocol.

A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.

OBJECTIVES: It is currently thought that most-but not all-individuals infected with SARS-CoV-2 develop symptoms, but that the infectious period starts on average two days before the first overt symptoms appear. It is estimated that pre- and asymptomatic individuals are responsible for more than half of all transmissions. By detecting infected individuals before they have overt symptoms, wearable devices could potentially and significantly reduce the proportion of transmissions by pre-symptomatic individuals. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests [to determine if there are antibodies against the SARS-CoV-2 in the blood] or SARS-CoV-2 infection tests such as polymerase chain reaction [PCR] or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the following two algorithms to detect first time SARS-CoV-2 infection including early or asymptomatic infection: the algorithm using Ava bracelet data when coupled with self-reported Daily Symptom Diary data (Wearable + Symptom Data Algo; experimental condition) the algorithm using self-reported Daily Symptom Diary data alone (Symptom Only Algo; control condition) In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. TRIAL DESIGN: The trial is a randomized, single-blinded, two-period, two-sequence crossover trial. All subjects will participate in an initial Learning Phase (varying from 2 weeks to 3 months depending on enrolment date), followed by two contiguous 3-month test phases, Period 1 and Period 2. Each subject will undergo the experimental condition (the Wearable + Symptom Data Algo) in one of these periods and the control condition (Symptom Only Algo) in the other period. The order will be randomly assigned, resulting in subjects being allocated 1:1 to either Sequence 1 (experimental condition first) or Sequence 2 (control condition first). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. PARTICIPANTS: The trial will be conducted in the Netherlands. A target of 20,000 subjects will be enrolled. Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence. This results in approximately 6,500 normal-risk individuals and 3,500 high-risk individuals per sequence. Subjects will be recruited from previously studied cohorts as well as via public campaigns and social media. All data for this study will be collected remotely through the Ava COVID-RED app, the Ava bracelet, surveys in the COVID-RED web portal, and self-sampling serology and PCR kits. During recruitment, subjects will be invited to visit the COVID-RED web portal ( www.covid-red.eu ). After successfully completing the enrolment questionnaire, meeting eligibility criteria and indicating interest in joining the study, subjects will receive the subject information sheet and informed consent form. Subjects can enrol in COVID-RED if they comply with the following inclusion and exclusion criteria. INCLUSION CRITERIA: Resident of the Netherlands At least 18 years old Informed consent provided (electronic) Willing to adhere to the study procedures described in the protocol Must have a smartphone that runs at least Android 8.0 or iOS 13.0 operating systems and is active for the duration of the study (in the case of a change of mobile number, study team should be notified) Be able to read, understand and write Dutch Exclusion criteria: Previous positive SARS-CoV-2 test result (confirmed either through PCR/antigen or antibody tests; self-reported) Previously received a vaccine developed specifically for COVID-19 or in possession of an appointment for vaccination in the near future (self-reported) Current suspected (e.g., waiting for test result) COVID-19 infection or symptoms of a COVID-19 infection (self-reported) Participating in any other COVID-19 clinical drug, vaccine, or medical device trial (self-reported) Electronic implanted device (such as a pacemaker; self-reported) Pregnant at time of informed consent (self-reported) Suffering from cholinergic urticaria (per the Ava bracelet's User Manual; self-reported) Staff involved in the management or conduct of this study INTERVENTION AND COMPARATOR: All subjects will be instructed to complete the Daily Symptom Diary in the Ava COVID-RED app daily, wear their Ava bracelet each night and synchronise it with the app each day for the entire period of study participation. Provided with wearable sensor and/or self-reported symptom data within the last 24 hours, the Ava COVID-RED app's underlying algorithms will provide subjects with a real-time indicator of their overall health and well-being. Subjects will see one of three messages, notifying them that: no seeming deviations in symptoms and/or physiological parameters have been detected; some changes in symptoms and/or physiological parameters have been detected and they should self-isolate; or alerting them that deviations in their symptoms and/or physiological parameters could be suggestive of a potential COVID-19 infection and to seek additional testing. We will assess intraperson performance of the algorithms in the experimental condition (Wearable + Symptom Data Algo) and control conditions (Symptom Only Algo). MAIN OUTCOMES: The trial will evaluate the use and performance of the Ava COVID-RED app and Ava bracelet, which uses sensors to measure breathing rate, pulse rate, skin temperature, and heart rate variability for the purpose of early and asymptomatic detection and monitoring of SARS-CoV-2 in general and high-risk populations. Using laboratory-confirmed SARS-CoV-2 infections (detected via serology tests, PCR tests and/or antigen tests) as the gold standard, we will determine the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for each of the following two algorithms to detect first-time SARS-CoV-2 infection including early or asymptomatic infection: the algorithm using Ava Bracelet data when coupled with the self-reported Daily Symptom Diary data, and the algorithm using self-reported Daily Symptom Diary data alone. In addition, we will determine which of the two algorithms has superior performance characteristics for detecting SARS-CoV-2 infection including early or asymptomatic infection as confirmed by SARS-CoV-2 virus testing. The protocol contains an additional seventeen secondary outcomes which address infection incidence rates, health resource utilization, symptoms reported by SARS-CoV-2 infected participants, and the rate of breakthrough and asymptomatic SARS-CoV-2 infections among individuals vaccinated against COVID-19. PCR or antigen testing will occur when the subject receives a notification from the algorithm to seek additional testing. Subjects will be advised to get tested via the national testing programme, and report the testing result in the Ava COVID-RED app and a survey. If they cannot obtain a test via the national testing programme, they will receive a nasal swab self-sampling kit at home, and the sample will be tested by PCR in a trial-affiliated laboratory. In addition, all subjects will be asked to take a capillary blood sample at home at baseline (Month 0), and at the end of the Learning Phase (Month 3), Period 1 (Month 6) and Period 2 (Month 9). These samples will be used for SARS-CoV-2-specific antibody testing in a trial-affiliated laboratory, differentiating between antibodies resulting from a natural infection and antibodies resulting from COVID-19 vaccination (as vaccination will gradually be rolled out during the trial period). Baseline samples will only be analysed if the sample collected at the end of the Learning Phase is positive, and samples collected at the end of Period 1 will only be analysed if the sample collected at the end of Period 2 is positive. When subjects obtain a positive PCR/antigen or serology test result during the study, they will continue to be in the study but will be moved into a so-called "COVID-positive" mode in the Ava COVID-RED app. This means that they will no longer receive recommendations from the algorithms but can still contribute and track symptom and bracelet data. The primary analysis of the main objective will be executed using data collected in Period 2 (Month 6 through 9). Within this period, serology tests (before and after Period 2) and PCR/antigen tests (taken based on recommendations by the algorithms) will be used to determine if a subject was infected with SARS-CoV-2 or not. Within this same time period, it will be determined if the algorithms gave any recommendations for testing. The agreement between these quantities will be used to evaluate the performance of the algorithms and how these compare between the study conditions. RANDOMISATION: All eligible subjects will be randomized using a stratified block randomization approach with an allocation ratio of 1:1 to one of two sequences (experimental condition followed by control condition or control condition followed by experimental condition). Based on demographics, medical history and/or profession, each subject will be stratified at baseline into a high-risk and normal-risk group within each sequence, resulting in equal numbers of high-risk and normal-risk individuals between the sequences. BLINDING (MASKING): In this study, subjects will be blinded as to study condition and randomization sequence. Relevant study staff and the device manufacturer will be aware of the assigned sequence. The subject will wear the Ava bracelet and complete the Daily Symptom Diary in the Ava COVID-RED app for the full duration of the study, and they will not know if the feedback they receive about their potential infection status will only be based on data they entered in the Daily Symptom Diary within the Ava COVID-RED app or based on both the data from the Daily Symptom Diary and the Ava bracelet. NUMBERS TO BE RANDOMISED (SAMPLE SIZE): 20,000 subjects will be recruited and randomized 1:1 to either Sequence 1 (experimental condition followed by control condition) or Sequence 2 (control condition followed by experimental condition), taking into account their risk level. This results in approximately 6,500 normal-risk and 3,500 high-risk individuals per sequence. TRIAL STATUS: Protocol version: 1.2, dated January 22nd, 2021 Start of recruitment: February 22nd, 2021 End of recruitment (estimated): April 2021 End of follow-up (estimated): December 2021 TRIAL REGISTRATION: The trial has been registered at the Netherlands Trial Register on the 18th of February, 2021 with number NL9320 ( https://www.trialregister.nl/trial/9320 ) FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

[Tuberculosis-related hospitalization in Spain: a cost analysis]. / Hospitalizaciones por tuberculosis en España: análisis de sus costes.

OBJECTIVE: To evaluate the number and cost of hospitalizations due to tuberculosis occurring in the Spanish National Health System (NHS) during 1999 to 2006. METHODS: The specific diagnosis-related groups (DRG) for tuberculosis (DRGs 705, 709, 711 and 798-802) were analyzed. RESULTS: We observed a striking decrease in hospitalizations (-25%), concomitant tuberculosis-HIV infection (-8.7%), and tuberculosis-related deaths (-0.5%, NS). In addition, there was a drop in the absolute number of hospital admissions and overall cost (from 31.3 to 30.8 and from 40.6 to 40.1 million euro), and a significant decrease in the relative hospitalizations and cost with respect to the overall number and hospital budget (from 0.21% to 0.10% and from 0.15% to 0.07%). CONCLUSIONS: There is a marked decrease in tuberculosis-related hospitalizations and mortality, but the disease remains a considerable health burden.

[There is a life after stroke: five courage histories and a desperate actor]. / Hay vida más allá del ictus: cinco historias de valor y un actor desesperado.

Stroke is a terrible disease conditioning in an important manner the lives of patients. Recovery is, often, very laborious. The cases of six well-known artists who suffered it are presented and also their efforts to defeat it. Patobiographic data of the painters C.F. Friedrich, L. Krasner and C. Close, poet and artist G. Apollinaire, the film director and cartoonist F. Fellini and actor K. Douglas are discussed. The vital changes introduced by a such process, the strength to recover and the post-stroke artwork production are commented. The artists' premorbid personality influenced notably the recovery. These artists faced to the disease and with their masterpieces also bequeathed to the posterity their examples of courage.

Molecular Heterogeneity of Endometrioid Ovarian Carcinoma: An Analysis of 166 Cases Using the Endometrial Cancer Subrogate Molecular Classification.

Endometrioid ovarian carcinoma (EOC) has clinical and biological differences compared with other histologic types of ovarian carcinomas, but it shares morphologic and molecular features with endometrioid endometrial carcinoma. To analyze the molecular heterogeneity of EOC according to the new molecular classification of endometrial cancer and to evaluate the prognostic significance of this molecular classification, we have analyzed 166 early-stage EOC by immunohistochemistry for mismatch repair proteins and p53 expression, and by Sanger sequencing for the exonuclease domain of polymerase epsilon (POLE EDM). In addition, we have carried out next-generation sequencing analysis of tumors with POLE EDM mutations to confirm the ultramutated profile. Eight tumors carried POLE EDM mutations and were classified as ultramutated (5%), 29 showed mismatch repair deficiency and were classified as hypermutated (18%), 16 tumors had a mutated pattern of p53 expression and were classified as p53 abnormal (11%), and 114 tumors did not have any of the previous alterations and were classified as no specific type (66%). Five tumors showed >1 classification criteria. The frequencies of ultramutated and hypermutated tumors were lower in EOC compared with the frequency reported in endometrial cancer. Subrogate molecular groups differed in both morphologic features (histologic grade, squamous and morular metaplasia, and necrosis) and immunohistochemical expression of several biomarkers (ARID1A, nuclear ß-catenin, estrogen receptors, Napsin A, and HINF1B). In addition, the number of CD8 tumor-infiltrating lymphocytes was higher in ultramutated and hypermutated tumors. The most commonly mutated genes in the ultramutated group were ARID1A (100%), PIK3R1, PTEN, BCOR, and TP53 (67% each), whereas no mutations were detected in KRAS. Although the prognosis did not differ among subgroups in the multivariate analysis, a trend toward a better prognosis in POLE-mutated and a worse prognosis in p53 abnormal tumors was observed. In addition, this classification could have important therapeutic implications for the use of immunotherapy in tumors classified as ultramutated and hypermutated.

Immunohistochemical detection of intravascular platelet microthrombi in patients with lupus nephritis and anti-phospholipid antibodies.

OBJECTIVES: To evaluate whether the use of platelet immunohistochemistry (IHC) markers improves the sensitivity of histological methods to detect microthrombosis in SLE nephritis and aPLs and to analyse the clinicopathological correlations of microthrombosis in this setting. METHODS: Kidney biopsy specimens from 65 patients with SLE, including 36 with positive aPLs, were studied by IHC using antibodies against platelet glycoproteins CD41 and CD61. Clinical data at the time of kidney biopsy and during a mean follow-up of 7.5 years after biopsy were recorded and analysed with regard to histological or IHC data. RESULTS: Histological lesions previously defined as APS nephropathy were found in 33% of the SLE kidney biopsies and were not associated with positive aPLs. Microthrombi detected as intravascular CD61(+) platelet deposits were present in 43% of the tissues and were significantly associated with positive aPLs, but not with histological APS nephropathy, nephritis manifestations nor with renal outcome. Histological APS lesions but not CD61(+) microthrombi correlated with an older age at nephritis presentation, previous cardiovascular risk factors and worse renal outcome. CONCLUSIONS: Immunodetection of intravascular CD61(+) platelet aggregates is more sensitive than histological evaluation to detect acute microthrombosis and provides a better correlation with aPLs in SLE patients. In contrast, histological lesions consistent with APS nephropathy were not associated with aPLs but with cardiovascular risk factors and worse renal outcome.

[Alcoholism prevention and alcohol advertising investment in Spain: David versus Goliath]. / Prevención del alcoholismo e inversiones publicitarias en España: una lucha de David contra Goliath.

OBJECTIVE: Alcohol advertising correlates with consumption, particularly in young people. We studied the evolution of the amounts spent on alcoholic beverages advertising and on advertising as a whole in conventional media in Spain during the period 1995-2005. METHODS: We analyzed the amounts spent on advertising in total and on alcoholic beverages advertising by studying the annual INFOADEX Survey on Advertising Investment in Spain in conventional media (TV, radio, the press, billboards and Internet). The results were subdivided into the periods 1995-2000 and 2001-2005. RESULTS: In the period 1995-2000 there was an increase (Delta) in alcoholic beverages advertising expenditure, from 268 to 347 million euro (Delta=29.5%), but a decrease in its percentage of advertising as a whole (from 7.6% to 6.1%). In the period 2001-2005 there was a rise in alcohol advertising expenditure from 145 to 186 million euro(Delta=28.0%), and also in its percentage of total advertising (from 2.7% to 2.8%). In 2001-2005, spending by Regional governments on preventive advertising increased from 22 to 52 million euro (Delta=136%). CONCLUSIONS: Alcohol advertising expenditure remains high in Spain, with young people as a primary target. In contrast, there is only modest investment in preventive advertising. Regulatory measures are necessary with a view to protecting populations especially susceptible to uncontrolled consumption.

Comparative genome profiling across subtypes of low-grade B-cell lymphoma identifies type-specific and common aberrations that target genes with a role in B-cell neoplasia.

BACKGROUND: Low-grade B-cell lymphomas are a very heterogeneous group of tumors, whose differential diagnosis is frequently compromised by the lack of specific cytogenetic or molecular features. Our objective was to search for genomic features that allow a better molecular identification of the different types of lymphoma studied. DESIGN AND METHODS: We selected a panel of 87 low-grade B-cell lymphoma tumor samples that were unambiguously diagnosed (clinically and cytogenetically) as: follicular, splenic marginal zone, nodal marginal zone, lymphoplasmacytic, mantle cell, extranodal marginal zone MALT-type lymphoma or B-cell chronic lymphocytic leukemia. All samples were subjected to the same high-resolution genomic DNA analysis (array-based comparative genomic hybridization): a whole genome platform that contained 44000 probes distributed across the genome. Genomic imbalances were recorded, compiled and analyzed. RESULTS: Eighty percent of analyzed cases showed genomic imbalances (deletions and gain/amplifications) but the frequency of these imbalances ranged from 100% in mantle cell lymphomas to 33% in MALT lymphomas. A total of 95 new genomic imbalances affecting all lymphoma subtypes, were defined. We evaluated the extension of the genomic instability, detecting distinct patterns of genomic instability within subtypes. Specific pathways, such as nuclear factor kB (gains of REL and BCL11A, and losses of COMMD3, BIRC1, IKK1 and NFKB2), Polycomb group proteins (gain of BMI1 and deletion of PCGF6), DNA repair checkpoint pathways (deletion of 16q24 involving CDT1), or miRNA with a role in B-cell lymphoma pathogenesis (MIRN15A, MIRN16-1), were targeted by this genomic instability. CONCLUSIONS: Although all subtypes of lymphomas showed gains and losses of DNA, the analysis of their genomic profiles indicated that there are specific aberrations in almost every subtype as well as frequent aberrations that are common to a large number of lymphoma types. These common aberrations target genes that are important in B-cell lymphomagenesis.

[Epidemiology of venous thromboembolie disease in Spain]. / Epidemiología hospitalaria de la enfermedad tromboembólica venosa en España.

The results of epidemiological studies of venous thromboembolic disease (VTD) vary widely, depending both on the geographical area and study type. In Spain, there are no data on the incidence and distribution of VTD. To determine the incidence and distribution of this disease, we analyzed the hospital discharges codified by the Spanish national health system. The results of the analysis showed that VTD represented 0.82% (0.69%-0.92%) of all hospital discharges in Spain between 1999 and 2005. The rate of diagnoses for all hospital discharges in 2005 was 103/100,000 inhabitants, with an estimated number of total diagnoses in Spain (hospitalized or not) of 154/100,000. Fifty-three percent were pulmonary embolisms (PE), which showed a tendency to increase, and 47% were deep venous thrombosis (DVT), which showed a tendency to decrease. The mean age was 65 years in men (51% of cases) and 68 years in women, with the incidence increasing exponentially with age. The mean age in patients with PE was 70 years vs 64 years in DVT. Mortality associated with PE was 11.6% vs 2.3% with DVT. DVT occurred during admission in 4% (3-4.7) of persons hospitalized for any cause, 74% of patients being admitted for medical problems. These data reveal that DVT is a serious health problem in Spain, with high morbidity and mortality. The incidence of this disease seems to be increasing and is particularly associated with medical problems, despite improved diagnosis and the accumulated evidence on thromboprophylaxis. Therefore, greater efforts should be made both to improve identification of at-risk patients and the application of prevention protocols.

[Current diagnosis of pulmonary embolism in Spain: ventilation-perfusion lung scan versus helical CT. Findings from the National Health Service and RIETE Registry]. / Gammagrafía pulmonar y tomografía computarizada helicoidal en el diagnóstico de embolia pulmonar en España. Datos del Sistema Nacional de Salud y el Registro RIETE.

BACKGROUND AND OBJECTIVE: To analyze the trends in the utilization of ventilation/perfusion pulmonary scintigraphy (V/QSc), spiral CT (sCT) and pulmonary angiography for diagnosis of pulmonary embolism (PE) in Spain, taking in account the information from the National System of Health (NSH) and RIETE Registry. To examine the diagnostic conformities of V/QSc and sCT in RIETE, with special reference to V/QSc of intermediate/indeterminate probability (V/QScIP). MATERIAL AND METHOD: We examined annual trends of diagnostic imaging for PE in 5,678 Spanish patients included in RIETE (period 2001-2005) and in those of the NHS Databases (1999-2003 period). In RIETE the agreement between diagnostics was compared in cases with both V/QSc and sCT and angiography and V/QSc or sCT. RESULTS: We observed an increasing trend in sTC use, which overcame to V/QSc in 2002 (RIETE) and 2003 (NHS). In 732 cases with both techniques there was a diagnostic conformity of 53%. In 116 cases with V/QScIP a concomitant sTC was + for PE in 87%. If clinical signs of PE were present, then sTC was + in 95% of cases. In 29 cases with sCT and angiography agreement was 83% and in 31 cases with angiography and V/QSc was 77%. CONCLUSIONS: Nowadays in Spain the sTC is the most utilized method to diagnose EP. However, V/QSc studies are also broadly used. In studies V/QScIP it is advisable to look for deep venous thrombosis and, if present, the results of RIETE allow to assure EP coexistence in 87-95% of cases.

[Machado, Moix and Montalbán: smoke gets in your lives]. / Machado, Moix y Montalbán: tres vidas cegadas por el humo.

The writers Antonio Machado (pulmonary chronic disease), Terenci Moix (emphysema) and Manuel Vázquez Montalbán (acute myocardial infarction) died of the complications derived from their inveterate habit-forming tobacco. They were aware of the prejudices that a such addiction was causing and tried, in some moment, to leave it. In addition, the testimonies of their contemporary or their same writings offered dramatic samples of this struggle. Nevertheless, they relapsed and tobacco caused them a premature death before 65 years. With a panoramic of 60 years among the last two authors and Machado, a brief historical perspective is offered on the acquisition of scientific knowledge that changed the attitudes towards tobacco during this period of time.

[Alcohol advertising in written mass media in Spain]. / Alcohol y publicidad en la prensa escrita en España.

BACKGROUND: Alcohol advertising is a powerful factor of incitation to consumption. We analyzed the alcohol advertising, especially that youth-focused, in written mass media in Spain during the period 2002-2006. METHODS: Annual cross-sectional study of advertisements in 41 widely difused written mass media (average readers: 10,1 millions). RESULTS: Media admitting alcohol publicity were 29% in the whole. (2,9 millions of readers on average, 29% of total readers). Alcohol advertising constituted the 3,8% of global publicity and the 8,6% of the publicity in media admitting alcohol publicity. In this period only 4% of the media (2,4% of total readers) inserted antidrug campaigns. In brief, three out of 10 total readers and one out of 12 people older than 15 years suffered the impact of tobacco advertising. Young people were included in 33% of alcohol advertisements and 3 out of 6 of youth-oriented magazines permitted a such publicity. CONCLUSIONS: Alcohol publicity remains high in written mass media in Spain. By contrast few people received informative antidrug campaigns. Advertising was preferentially directed to young people.

[The meeting of Einstein with Cajal (Madrid, 1923): a lost tide of fortune]. / El encuentro de Einstein y Cajal (Madrid, 1923): un olvidado momento estelar de la humanidad.

INTRODUCTION: The year 2005 was the centennial year of the Albert Einstein's transcendental works that changed forever the humans thoughts on the universe. It is also celebrated the 50th anniversary of his death. It was proclaimed 'World Year of Physics' and a multiplicity of celebrations have exhaustively analyzed Einstein's cardinals contributions. However, among these, the meeting of Einstein with another titanic of science, Santiago Ramon y Cajal, has passed some unnoticed. In this study the circumstances of this meeting are evoked. DEVELOPMENT: The parallelisms between the lives of both prominent figures awarded with the Nobel Prize are highlighted. They are the 'classic' authors most widely cited in the current scientific literature. The events and persons who made possible that shining but forgotten interview are detailed. Such a meeting took place in Madrid, on the occasion of the Einstein's trip to Spain in 1923. That travel exceeded his primary scientific nature, reaching the category of a social phenomenon and was widely covered by the printed mass media at that time. Finally, the curious coincidence of the invocation of Cajal's theories to justify the genius of the German physicist nearly 75 years after their meeting is mentioned. CONCLUSIONS: Although it was a brief meeting and the circumstances surrounding it largely unknown, it produced a great impression to Einstein and constitutes a supreme instant in the history of the 20th century.

[Miguel de Cervantes: medical knowledge, ailments, and death]. / Miguel de Cervantes: saberes médicos, enfermedades y muerte.

There is no doubt about the extensive medical knowledge of Cervantes at his time and some biographers affirm that he was a physician. Probably, part of this knowledge was the legacy of his father, a barber and surgeon, that bequeathed to him several medical books. However, there is an almost absolute ignorance related to his ailments and the cause of his death. Apart from a possible malaria, some authors have diagnosed him liver cirrhosis and diabetes mellitus, taking in account the Cervantes's own testimony, with hydropsy and uncontrollable thirst as important findings. However, some others explanations like heart failure are possible and certain data suggest terminal renal failure as his last illness.