Respiratory Rate Research Articles

Methodological Recommendations for the Creation of Sensor Measurement Systems for Respiratory Rate Monitoring Based on Photoplethysmographic Signal Processing

A methodical apparatus for creating sensor measurement systems for monitoring human respiration rate is proposed. It includes a method for estimating respiratory rate based on statistical analysis of photoplethysmographic signals (human pulse wave), a method for selecting priority regions for estimating respiratory rate, and a criterion for determining the required bracelet tension during measurements. The application of the respiratory rate estimation method involves calculating the Correntropy spectral density of the pulse wave signal. A distinctive feature of the method is the use of an algorithm for selecting the priority empirical mode of the Hilbert-Huang decomposition, which is most closely related to the respiratory rate. Experimental verification of the method showed that the mean value of the absolute error for 58.8% of the sample of calculated respiratory rate values did not exceed 1 breath/min, and the 95% confidence interval for the mean absolute error of the entire sample was [0.72–2.2] breaths/min.

A nomogram for predicting short-term mortality in ICU patients with coexisting chronic obstructive pulmonary disease and congestive heart failure

ObjectiveThis study aimed to develop and validate a nomogram for predicting 28-day and 90-day mortality in intensive care unit (ICU) patients who have chronic obstructive pulmonary disease (COPD) coexisting with congestive heart failure (CHF). MethodsAn extensive analysis was conducted on clinical data from the Medical Information Mart for Intensive Care IV database, covering patients over 18 years old with both COPD and CHF, who were were first-time ICU admissions between 2008 and 2019. The least absolute shrinkage and selection operator (LASSO) regression method was employed to screen clinical features, with the final model being optimized using backward stepwise regression guided by the Akaike Information Criterion (AIC) to construct the nomogram. The predictive model's discrimination and clinical applicability were evaluated via receiver operating characteristic (ROC) curves, calibration curves, the C-index, and decision curve analysi s (DCA). ResultsThis analysis was comprised of a total of 1948 patients. Patients were separated into developing and validation cohorts in a 7:3 ratio, with similar baseline characteristics between the two groups. The ICU mortality rates for the developing and verification cohorts were 20.8 % and 19.5 % at 28 days, respectively, and 29.4 % and 28.3 % at 90 days, respectively. The clinical characteristics retained by the backward stepwise regression include age, weight, systolic blood pressure (SBP), respiratory rate (RR), oxygen saturation (SpO2), red blood cell distribution width (RDW), lactate, partial thrombosis time (PTT), race, marital status, type 2 diabetes mellitus (T2DM), malignant cancer, acute kidney failure (AKF), pneumonia, immunosuppressive drugs, antiplatelet agents, vasoactive agents, acute physiology score III (APS III), Oxford acute severity of illness score (OASIS), and Charlson comorbidity index (CCI). We developed two separate models by assigning weighted scores to each independent risk factor: nomogram A excludes CCI but includes age, T2DM, and malignant cancer, while nomogram B includes only CCI, without age, T2DM, and malignant cancer. Based on the results of the AUC and C-index, this study selected nomogram A, which demonstrated better predictive performance, for subsequent validation. The calibration curve, C-index, and DCA results indicate that nomogram A has good accuracy in predicting short-term mortality and demonstrates better discriminative ability than commonly used clinical scoring systems, making it more suitable for clinical application. ConclusionThe nomogram developed in this study offers an effective assessment of short-term mortality risk for ICU patients with COPD and CHF, proving to be a superior tool for predicting their short-term prognosis.

Towards the Instrumentation of Facemasks Used as Personal Protective Equipment for Unobtrusive Breathing Monitoring of Workers.

This study focuses on the integration and validation of a filtering face piece 3 (FFP3) facemask module for monitoring breathing activity in industrial environments. The key objective is to ensure accurate, real-time respiratory rate (RR) monitoring while maintaining workers' comfort. RR monitoring is conducted through temperature variations detected using temperature sensors tested in two configurations: sensor t1, integrated inside the exhalation valve and necessitating structural mask modifications, and sensor t2, mounted externally in a 3D-printed structure, thus preserving its certification as a piece of personal protective equipment (PPE). Ten healthy volunteers participated in static and dynamic tests, simulating typical daily life and industrial occupational activities while wearing the breathing activity monitoring module and a chest strap as a reference instrument. These tests were carried out in both indoor and outdoor settings. The results demonstrate comparable mean absolute error (MAE) for t1 and t2 in both indoor (i.e., 0.31 bpm and 0.34 bpm) and outdoor conditions (i.e., 0.43 bpm and 0.83 bpm). During simulated working activities, both sensors showed consistency with MAE values in static tests and were not influenced by motion artifacts, with more than 97% of RR estimated errors within ±2 bpm. These findings demonstrate the effectiveness of integrating a smart module into protective masks, enhancing occupational health monitoring by providing continuous and precise RR data without requiring additional wearable devices.

Comparative Analysis of Oral Clonidine Versus Oral Gabapentin on Subarachnoid Block Duration and Postoperative Analgesic Needs.

Pain, an inherently subjective experience, plays a pivotal role in the body's defence mechanism by signalling tissue damage or potential harm. Thus, optimal postoperative pain management is a cornerstone of modern surgical practice, essential for improving recovery outcomes and overall patient well-being. In this study, a total of 60 patients were randomly assigned to two groups of 30 each: Group C (clonidine) and Group G (gabapentin). Group C received oral clonidine 100 mcg and Group G received oral gabapentin600 mg one hour prior to the subarachnoid block. Duration of sensory and motor block, hemodynamic parameters, Visual Analog Scale (VAS) scores, time to rescue analgesia and any side effect of both drugs were assessed in both groups. The duration of motor and sensory blockade, as well as intraoperative hemodynamics and respiratory rates, were comparable between the two groups. Group G exhibited significantly lower VAS scores from 150 minutes postoperatively up to 12 hours (p < 0.001). Additionally, Group G experienced longer duration of postoperative analgesia (16.8±3.9 hours) compared to Group C (9.27±1.7 hours). About 26.6% of the patients in Group C and 6.7% of the patients in Group G presented with postoperative nausea and vomiting (PONV). Oral gabapentin at a dosage of 600 mg demonstrates superior efficacy as a premedication compared to oral clonidine 100 mcg for patients undergoing lower abdominal and lower limb surgeries under spinal anesthesia. Group G demonstrated extended postoperative analgesia, lower VASscores, and a reduced incidence of PONV, indicating its superiority over clonidine as an analgesic adjunct.

Safety and efficacy of a novel dexmedetomidine nasal spray for pre-anesthetic sedation in children: a randomized, double-blind, placebo-controlled trial

BackgroundOff-label intranasal administration of injectable dexmedetomidine has been widely applied in the pediatric sedation setting. However, the development of an improved drug delivery system that is easy to use is needed. We developed a novel dexmedetomidine nasal spray that can be administered directly without dilution or configuration for pediatric pre-anesthetic sedation. This nasal spray has a fixed dose and is stable during storage. To the best of our knowledge, this is the first licensed nasal spray preparation of dexmedetomidine worldwide.ObjectiveTo evaluate the pre-anesthetic sedation efficacy and safety of the novel dexmedetomidine nasal spray in children.MethodsThe study was conducted at 11 sites in China between 24 November 2021 and 20 May 2022 and was registered in ClinicalTrials.gov (NCT05111431, first registration date: 20/10/2021). Subjects (n = 159) between 2 and 6 years old who were to undergo elective surgery were randomized to the dexmedetomidine group (n = 107) or the placebo group (n = 52) in a 2:1 ratio. The dosage was 30 µg or 50 µg based on the stratified body weight. The primary outcome measure was the proportion of subjects who achieved the desired child-parent separation and Ramsay scale ≥ 3 within 45 min of administration. Safety was monitored via the assessments of adverse events, blood pressure, heart rate, respiratory rate and blood oxygen saturation.ResultsThe proportion of subjects achieving desired parental separation and Ramsay scale ≥ 3 within 45 min was significantly higher in the dexmedetomidine group (94.4%) vs the placebo group (32.0%) (P < 0.0001). As compared with placebo, dexmedetomidine treatment led to more subjects achieving Ramsay scale ≥ 3 or UMSS ≥ 2, and shorter time to reach desired parental separation, Ramsay scale ≥ 3 and UMSS ≥ 2 (all P < 0.0001). Adverse events were reported in 90.7% and 84.0% of subjects in the dexmedetomidine and placebo groups, respectively, and all the events were mild or moderate in severity.ConclusionsThis novel dexmedetomidine nasal spray presented effective pre-anesthetic sedation in children with a tolerable safety profile.

Application of noncontact sensors for cardiopulmonary physiology and body weight monitoring at home: A narrative review.

Monitoring health status at home has garnered increasing interest. Therefore, this study investigated the potential feasibility of using noncontact sensors in actual home settings. We searched PubMed for relevant studies published until February 19, 2024, using the keywords "home-based," "home," "monitoring," "sensor," and "noncontact." The studies included in this review involved the installation of noncontact sensors in actual home settings and the evaluation of their performance for health status monitoring. Among the 3 included studies, 2 monitored respiratory status during sleep and 1 monitored body weight and cardiopulmonary physiology. Measurements such as heart rate, respiratory rate, and body weight obtained with noncontact sensors were compared with the results obtained from polysomnography, polygraphy, and commercial scales. All included studies demonstrated that noncontact sensors produced results comparable to those of standard measurement tools, confirming their excellent capability for biometric measurements. Overall, noncontact sensors have sufficient potential for monitoring health status at home.

THE INFLUENCE OF EVENING TWILIGHT ON THE ATTENTION OF DRIVERS OF DIFFERENT AGES IN CITY CONDITIONS

The article examines the issue of driver safety in cities in the evening twilight. A group of drivers aged 20 to 40 years with a total driving experience of 3 to 16 years was studied. Drivers with 3-5 years of driving experience had an average age of 25 years, and drivers with 10-16 years of driving experience had an average age of 34 years. Drivers drove along known routes at dusk and after dark. We measured drivers’ attention with a Pupil Labs headset, as well as functional state shifts with a respiratory rate monitor. The "Neulog Respiration Monitor Belt" device was used to determine the parameters of external breathing of drivers. Previously, we measured breathing parameters when the driver was in a calm state. Since the morning, the drivers’ breathing rate has been 10-12 breathing cycles. The results of the research indicate a significant difference in the shifts in the functional state during the movement along the routes for both groups. When the lighting changes from the beginning of the evening twilight, the energy consumption by drivers increases by 40%. At the same time, the maximum rate of energy consumption for the driver is 12.6 kJ/min, i.e. 2.9 kcal/min. Also, drivers with less driving experience were less attentive and more emotionally stressed. At the same time, the drivers of both groups experienced significant difficulties in reducing the lighting in the event of conflicting situations while driving. At the same time, energy expenditure significantly exceeded the limit indicators, and attention indicators worsened. This fact was observed after 15-20 minutes of driving in the evening twilight. The experimentally obtained data on changes in the driver’s attention index in the conditions of evening twilight can be used to build multifactorial models taking into account traffic parameters on different categories of streets. In the conditions of the evening twilight, the driver’s attention is significantly reduced. When the illumination changes from 50 lux (driving time 15-20 min.) and less, the driver experiences visual fatigue from constantly searching for objects on the road. At the same time, the number of fixations is significantly reduced, as the driver spends more time recognizing and searching for the necessary elements of the road environment, pedestrians, etc. Danger in the driver causes a state of stress, which is reflected in an increase in the driver’s breathing rate and, as a consequence, a change in the functional state. The main factor affecting the amount of energy spent in such conditions is the interaction of the driver with the road conditions. These factors require the driver to take certain actions when driving a car: acceleration, braking, maintaining speed and certain reactions in the event of a traffic hazard. The results of the analysis of parameters of the functional state of drivers with different years of work showed significant differences between electrophysiological indicators, both when moving in conditions of evening twilight and in background conditions. In the background conditions, lower values of electrophysiological indicators are primarily related to the different age of the drivers. Drivers with 3-5 years of driving experience had an average age of 25 years, and drivers with 10-16 years of driving experience had an average age of 34 years. Keywords: driver attention, traffic flow, human factor.

Comparison of the effectiveness of the quick COVID-19 severity index and the COVID-19 gram critical illness risk score in identifying critical patients with COVID-19

Objectives: This study aimed to compare the effectiveness of the Quick COVID-19 Severity Index (qCSI) and the COVID-GRAM Critical Illness Risk Score (CGCIRS) in identifying critically ill patients with COVID-19 admitted to the emergency department of a tertiary hospital. Methods: Patients over 18 years of age with a positive PCR test who presented to the Emergency Department of Bursa Yüksek İhtisas Training and Research Hospital between 15.03.2020 and 15.03.2021 with COVID-19 findings were retrospectively included in the study. Mortality, qCSI (respiratory rate per minute, oxygen saturation, oxygen demand per minute), and CGCIRS (x-ray abnormality, age, hemoptysis, dyspnea, impaired consciousness, comorbid disease, presence of cancer, neutrophil/lymphocyte ratio, lactate dehydrogenase (LDH) value, direct bilirubin value) were investigated within 1, 7 and 28 days. Results: A total of 1499 patients with a positive COVID-19 PCR test were included in the study. Invasive mechanical ventilation was performed in 44 (2.9%) and non-invasive mechanical ventilation in 63 (4.2%) patients. 57 (3.8%) patients were hospitalized in the intensive care unit (ICU). Mortality occurred in the first 24 hours in 1 (0.1%) and 28 days in 41 (2.7%) patients. Having comorbidities, use of 10 lt/min oxygen, use of high flow oxygen, need for non-invasive and invasive mechanical ventilation, and need for ICU were found to increase 28-day mortality significantly. The qCSI and CGCIRS were found to be significantly different in patients who developed 28-day mortality with qCSI and CGCIRS, respectively (p

Outcome of immune checkpoint inhibitor treatment in non-small cell lung cancer patients with interstitial lung abnormalities: clinical utility of subcategorizing interstitial lung abnormalities

Interstitial lung abnormalities (ILAs) are immune checkpoint inhibitor (ICI)-related pneumonitis (ICI-P) risk factors. However, the relationship between imaging patterns and immunotherapy outcomes, and treatment strategies remain unclear in patients with non-small cell lung cancer (NSCLC) and ILAs. We retrospectively evaluated patients with ILAs-complicated NSCLC who received ICI therapy. ILAs were subcategorized as non-subpleural, subpleural non-fibrotic, and subpleural fibrotic (SF) based on the 2020 position paper by the Fleischner Society. We investigated ICI-P incidence, ICI-P risk factors, lung cancer prognosis, and ILAs radiological progression. Of the 481 ICI-treated patients, 79 (16.4%) had ILAs (45 non-SF and 34 SF). The ICI-P cumulative incidence (hazard ratio, 4.57; 95% confidence interval [CI], 1.90–10.98; p = 0.001) and any grade and grade ≥ 3 ICI-P incidences were higher in patients with SF-ILAs than in those with non-SF-ILAs (all grades: 7/45 [15.6%)] vs. 18/34 [52.9%]; p < 0.001; grade ≥ 3: 1/45 [2.2%] vs. 10/34 [29.4%]; p = 0.001). According to multivariate analysis, SF-ILAs independently predicted ICI-P (odds ratio, 5.35; 95% CI 1.62–17.61; p = 0.006). Patients with SF-ILAs had shorter progression-free and overall survival and higher ICI-P-related respiratory failure death rates than those with non-SF-ILAs. Approximately 2.5 times more patients with SF-ILAs showed progression by the 2-year follow-up than those with non-SF-ILAs. SF-ILAs is an independent strong predictor of ICI-P development in patients with NSCLC, may increase ICI-P severity, worsen prognosis, and accelerate ILAs progression. ILAs subcategorization is an important treatment strategy for patients with lung cancer treated with ICIs.

Accuracy and role of consumer facing wearable technology for continuous monitoring during endoscopic procedures.

Consumer facing wearable devices capture significant amounts of biometric data. The primary aim of this study is to determine the accuracy of consumer-facing wearable technology for continuous monitoring compared to standard anesthesia monitoring during endoscopic procedures. Secondary aims were to assess patient and provider perceptions of these devices in clinical settings. Patients undergoing endoscopy with anesthesia support from June 2021 to June 2022 were provided a smartwatch (Apple Watch Series 7, Apple Inc., Cupertino, CA) and accessories including continuous ECG monitor and pulse oximeter (Qardio Inc., San Francisco, CA) for the duration of their procedure. Vital sign data from the wearable devices was compared to in-room anesthesia monitors. Concordance with anesthesia monitoring was assessed with interclass correlation coefficients (ICC). Surveys were then distributed to patients and clinicians to assess patient and provider preferences regarding the use of the wearable devices during procedures. 292 unique procedures were enrolled with a median anesthesia duration of 34 min (IQR 25-47). High fidelity readings were successfully recorded with wearable devices for heart rate in 279 (95.5%) cases, oxygen in 203 (69.5%), and respiratory rate in 154 (52.7%). ICCs for watch and accessories were 0.54 (95% CI 0.46-0.62) for tachycardia, 0.03 (95% CI 0-0.14) for bradycardia, and 0.33 (0.22-0.43) for oxygen desaturation. Patients generally felt the devices were more accurate (56.3% vs. 20.0% agree, p < 0.001) and more permissible (53.9% vs. 33.3% agree, p < 0.001) to wear during a procedure than providers. Smartwatches perform poorly for continuous data collection compared to gold standard anesthesia monitoring. Refinement in software development is required if these devices are to be used for continuous, intensive vital sign monitoring.

Evaluation of the effectiveness of a segmented alternating shift pattern based on wearable vital signs monitoring devices during COVID-19: a cross-sectional study

AimTo explore the feasibility and effectiveness of an alternating shift pattern in two-hour segments in the state of emergency management of public health events.MethodsA cross-sectional research design was conducted in our study. The nursing staff working in the admission ward of suspected or confirmed patients with COVID-19 in December 2022 were selected as subjects by the whole-group sampling method. We adopted a shift pattern of alternating shifts every two-hour in the isolation wards. The vital signs parameters were captured by uniformly wearing the multi-signs sensing devices, and the questionnaires collected the symptoms.ResultsSixty-seven female participants, with a mean age of 33.09 ± 5.96 years, were included in this study. Measurements of body temperature (T), blood oxygen saturation (SpO2), respiratory rate (RR), and heart rate (HR) while wearing personal protective equipment (PPE) all remained within normal limits. None of the nurses reported sweating, dizziness, blurred vision, palpitations, or dyspnea. Statistical analysis showed significant differences between the critical care group and the non-critical care group in terms of age (P = 0.041), working duration (P = 0.036), and the total number of entries into isolation areas for nursing care (rounds) (P = 0.007). However, there were no statistically significant differences in vital signs based on age, work duration, or body mass index (BMI). The data indicated a notable increase in body temperature compared to other vital sign parameters with increasing work time while wearing PPE. Body temperature approached the upper limit when working close to 2 h long.ConclusionsThe alternating shift pattern in two-hour segments can effectively maintain the physical well-being of nurses wearing PPE without increasing the burden on nursing staff or the wastage of protective materials. This approach is recommended for addressing similar public health events in the future.

Impact of winter coverage crops and nitrogen fertilization on soil respiration and nitrogen mineralization in no-tillage systems

Microbiological activity in soil is crucially important to maintaining soil quality. Soil is sensitive to management practices, and microbiological activity plays a crucial role in processes like transforming organic N into inorganic fractions. The objective of this study was to assess how winter coverage crop residues influence soil respiratory activity and N mineralization during successive corn crop developments under a no-tillage regime. We employed a randomized block experimental design with subdivided plots and three replications. The main plots comprised various coverage crops (Black Oats, Ryegrass, Rye, White Lupin, Common vetch, Turnip, consortia of Oats + Vetch and Oats + Vetch + Turnip, while subplots received doses of N-mineral (0 and 180 kg ha-1) during the corn growth stage. We evaluated the respiratory activity of microorganisms and levels of inorganic N in the soil throughout the corn crop cycle. The consortia of coverage crops exhibited distinct responses in respiratory rates, with Oats + Vetch having superior results compared to Oats + Vetch + Turnip. We observed positive responses in nitric N (N-NO3-) due to the mineralization of common vetch residues within the first fifteen Days After Sowing (DAS). However, N-mineral doses from nitrogen fertilization during the corn coverage age phase did not alter the respiratory of the microorganisms nor did it alter the concentrations of N-NH4+ in the soil. Mineral fertilization resulted in the immediate availability of N in the form of N-NO3-.

Quantification of physiological effect of respiration on automated measurement of blood pressure among normotensive adult individuals.

Accurate blood pressure measurement necessitates meticulous methodology, as even minor variations like speaking or sitting can impact the readings. Additionally, respiration plays a role in blood pressure, exhibiting a dip during inhalation and a subsequent increase during exhalation. However, the influence of breathing patterns, duration, and rate on blood pressure remains largely unexplored. In this study, we have attempted to quantify the changes in blood pressure and heart rate (HR) of normotensive individuals while performing predefined respiratory patterns - slow, medium, and fast (respiratory rates of 5, 10, and 20/m, respectively). For each respiratory pattern, age-matched and gender-matched (18-40 years) volunteered normotensive individuals were selected as volunteers. Baseline readings were recorded and each volunteer was randomly allotted a respiratory pattern. The volunteers performed the assigned respiratory pattern while the BP and HR were recorded. A fall in both SBP and DBP was observed in all three patterns of respiration. There was no inter-pattern difference in the blood pressure change. A novel finding in our study was a trend of respiratory rate and HR - the change in HR linearly increased with a rise in respiratory rate difference. We also proposed a linear regression equation for this increase in HR with the increase in respiratory rate which was statistically significant. The findings suggest the decline in blood pressure is independent of the respiratory pattern employed. The study also demonstrates that the HR is a linear function of respiratory rate.

Development and validation of a predictive model for in-hospital mortality from perioperative bacteremia in gastrointestinal surgery.

Prognostic scores require fluctuating values, such as respiratory rate, which are unsuitable for retrospective auditing. Therefore, this study aimed to develop and validate a predictive model for in-hospital mortality associated with gastrointestinal surgery for retrospective auditing. Data from patients with bacteremia related to gastrointestinal surgery performed at Shizuoka General Hospital between July 2006 and December 2021 were extracted from a prospectively maintained database. Patients suspected of having a positive blood culture with contaminating bacteria or missing laboratory data were excluded. The remaining patients were randomly assigned in a 2:1 ratio to the deviation and validation cohorts. A logistic regression model estimated the odds ratios (ORs) and created a predictive model for in-hospital mortality. The model was evaluated using receiver operating characteristic (ROC) curves and calibration plots. Of 20,637 gastrointestinal surgeries, 398 resulted in bacteremia. The median age of patients with bacteremia was 72 years, and 66.1% were male. The most common pathogens were Staphylococcus (13.9%), followed by Bacteroides (12.4%) and Escherichia (11.4%). Multivariable logistic regression showed that creatinine abnormality (P < 0.001, OR = 3.39), decreased prognostic nutritional index (P < 0.001, OR = 0.90/unit), and age ≥ 75 years (P = 0.026, OR = 2.89) were independent prognostic factors for in-hospital mortality. The area under the ROC curve of the predictive model was 0.711 in the validation cohort. The calibration plot revealed that the model slightly overestimated mortality in the validation cohort. Using age, creatinine level, albumin level, and lymphocyte count, the model accurately predicted in-hospital mortality after bacteremia infection related to gastrointestinal surgery, demonstrating its suitability for retrospective audits.

Implementing Triage-Bot: Supporting the Current Practice for Triage Nurses.

In Canada, emergency departments (ED) have 15.1 million unscheduled visits every year; this has been suggested to indicate that patients rely on ED to address the gaps experienced by 6.5 million Canadians who lack a primary care provider. When this large number of visits is coupled with a predicted shortage of 100,000 nurses in Canada by 2030, ED can be expected to face resource limitations, which highlights the importance of triage systems as a source of immediate support. Technology that incorporates innovative analytical methods, automation of routine, and efficient processing can be leveraged to enhance patient outcomes, streamline clinical processes, and improve the overall quality and efficiency of healthcare delivery. This paper aims to highlight how the Triage-Bot, a proposed AI system, can assist ED nurses when triaging patients. The Triage-Bot system is based on the Canadian Triage and Acuity Scale (CTAS), which currently serves as a standardized and highly effective tool for prioritizing patient care in emergency departments across the country. Pre-set and open-ended questions are asked using voice and video, allowing patients to describe their health concerns and conditions. Triage-Bot automatically measures the following vital signs: heart rate (HR), heart rate variability (HRV), oxygen saturation (SpO2), respiratory rate (RR), blood pressure (BP), blood glucose (BG), and stress. The system uses artificial intelligence models, particularly those with a deep learning approach that simultaneously analyzes both the user's facial expression and voice tone. Implementation: A systematic review addressed the implications of AI in nursing and concluded that it could contribute to patient care by providing personalized instructions and/or remotely monitoring patients. The Triage-Bot system can be implemented in healthcare facilities, such as emergency department waiting rooms. The information it collects can then be added to a patient's health records to support nurses in assessing the severity of each patient's condition. Limitations: If the system is accessed without a nurse's guidance, it is imperative that the user receives information regarding when to visit a healthcare provider or ED. Continuous improvements in Triage-Bot's accessibility for patients with varying abilities are required to ensure that the system remains user-friendly during times of illness. The voice and text interaction can also be influenced by a user's understanding of language, culture, and age-related factors.

H1N1pdm09 infection in children: A case report of reemerging disease in COVID-19 pandemic

An outbreak of H1N1 infection was first declared by the World Health Organization in 2009 and confirmed in the post-pandemic phase in 2010. Amid the COVID-19 pandemic, we found a confirmed case of H1N1pdm09 in Bunda Women and Children Hospital Jakarta. A 13-year-old boy was referred to our hospital after four days of hospitalization due to worsening tachypnea following a productive cough and fever. The patient had severe dyspnea with inspiratory effort and oxygen desaturation to 80%, therefore admitted to our pediatric intensive care unit. On physical examination, the patient had increased work of breathing, looked irritable, had a respiratory rate of about 40x/minute with non-rebreathing mask support, and crackles were heard in both lungs. Chest x-ray showed right bronchopneumonia. There was a history of a generalized seizure for less than 1 minute, which stopped spontaneously in previous hospital care. The patient was diagnosed with mucopolysaccharidosis at age six years old and has never received enzyme replacement therapy. Laboratory results revealed thrombocytopenia, leukopenia, neutrophilia, monocytosis, high c-reactive protein and procalcitonin, and elevated liver enzymes. The investigation of etiology was performed using the respiratory panel test and showed a positive real-time polymerase chain reaction for H1N1pdm09 and Influenza A. The patient was given oxygen therapy with a high-flow nasal cannula with an oxygen fraction of 40% and a flow of 20 liters per minute, fluid maintenance while fasting, antibiotics, inhaled beta-2 agonists, and a neuraminidase inhibitor (oseltamivir). The patient's clinical and laboratory markers improved on the third day of treatment, and he was discharged two days later.

Respiratory rates among rural Gambian children: a community-based cohort study

Normal respiratory rates (RR) for children under five in the tropics are well-documented, but data for older children are limited. This study tracked RR changes with age and examined associations with nutritional status and environmental factors. We monitored rural Gambian children aged 6 months to 14 years, recording RR during home visits twice weekly over two rainy seasons. Using a generalized additive model, we constructed RR reference curves, and a linear mixed-effect model identified factors influencing RR. A total of 830 children provided 67,512 RR measurements. Their median age was 6.07 years (interquartile range 4.21–8.55) and 400 (48.2%) were female. Age, stunting, ambient temperature, and time of RR measurement were independent predictors of respiratory rate. Strikingly, children showing signs of illness had greater variability in repeat RR measurements. We constructed a RR reference chart for children aged one to 13 years and proposed a cutoff of > 26 breaths/min for raised RR among children aged > 5 years bridging an important gap in this age group. Although the time of data collection, nutritional status, and ambient temperature were predictors of RR, their effect size is not clinically significant enough to warrant a change in the current WHO guidelines owing to the prevailing uncertainty in the measurement of RR. The finding that RRs between repeat measurements were more variable among children with signs of illness suggests that a single RR measurement may be inadequate to reliably assess the status of sick children—a population in which accurate diagnosis is essential to enable targeted interventions with lifesaving treatment.

Microscopic alterations and adaptation in the lungs of the Japanese quail exposed to acute or chronic heat stress

BackgroundGlobal warming causes heat stress, a significant bioclimatic factor affecting poultry welfare. The effects of heat stress on the morphology of the Japanese quail lungs were investigated in this study. A total of 16 adult Japanese quail were randomly distributed into four groups: a control group (CT), acute heat stress (AH), chronic heat stress with 7 days (CH1) and chronic heat stress with 28 days exposure (CH2). The CT group were maintained at 25 °C temperature, the AH group were exposed to 38 °C temperature for 24 h, and the CH groups were exposed to 35 °C for seven and 28 days. At the end of exposure, the birds were euthanised, and lung tissues were collected and processed for microscopy. Tissue sections were stained using H&E stain, Gomori’s stain and immunofluorescence labelling.ResultsThis study showed no significant difference in body weight, cloacal temperature, respiratory rate and lung parameters in heat-stressed groups compared with the control group. However, microscopic analyses revealed blood congestion, leakage of blood into the airway, inflammatory response and tissue breakage in the heat-stressed groups.ConclusionsHeat stress harmed the lungs of the Japanese quail based on duration and intensity. The negative impact could cause instant mortality, but if the quail survives the initial impact, it can adapt to the heat stress with long-term consequences on its performance.

Case study: chemical contaimnent in parrots (Amazona SP - Lesson, 1830) from de Quinzinho de Barros Zoological Park, municipality of Sorocaba, São Paulo

The containment and anesthesia of wild animals is extremely important for veterinarians who intend to or already practice in this field. However, before administering anesthesia, it is essential to understand the pharmacology of anesthetics and the biological aspects related to the anatomical, physiological, and behavioral peculiarities of the species to be restrained. The aim of this research was to evaluate parameters such as heart rate (HR), respiratory rate (RR), temperature (T°), muscle relaxation, reflexes (palpebral, ocular, and pedal), and respiratory pattern in four anesthetic protocols: ketamine 5% at a dose of 30mg/kg combined with xylazine 2%-2mg/kg; ketamine 5% at doses of 15mg/kg and 20mg/kg with diazepam 1% at a dose of 1mg/kg; diazepam 0.5% at a dose of 5mg/kg 15 minutes before isoflurane administration; and the use of isoflurane alone in parrots (Amazona sp) kept at the Quinzinho de Barros Municipal Park, Sorocaba, São Paulo. Eleven animals were used: three with the ketamine combined with xylazine protocol, three with ketamine plus diazepam, three with diazepam before isoflurane, and two with the isolated use of isoflurane. The results of this research showed that with the use of ketamine combined with xylazine at this dosage, only superficial sedation was achieved. With the supplementary dose of ketamine and xylazine, the animal reached a moderate anesthetic plane, but respiratory depression occurred. The use of diazepam combined with ketamine 5% at a dose of 15mg/kg is only recommended for minor procedures. Recovery was slightly less prolonged and with less cardiorespiratory depression compared to the use of ketamine combined with xylazine. Diazepam 0.5%-5mg/kg before isoflurane did not allow for the intubation of the animal; it served to reduce the stress of restraint, requiring a lower concentration of isoflurane for induction. Apnea was observed with the increase of isoflurane concentration, even with the use of diazepam before isoflurane. With the isolated use of isoflurane, the animal reached a moderate to deep anesthetic plane, which would allow for more invasive procedures.

COVID-19 in the Tibet, China, the roof of the world: a comparative analysis of high-altitude residents and newcomers

BackgroundAfter a 920-day hiatus, COVID-19 resurged in the Tibet Autonomous Region of China in August 2022. This study compares the characteristics of COVID-19 between high-altitude residents and newcomers, as well as between newcomers and lowlanders.MethodsThis multi-center cohort study conducted at the Third People’s Hospital of Tibet Autonomous Region and Beijing University Shenzhen Hospital, included 520 high-altitude resident patients, 53 high-altitude newcomer patients, and 265 lowlander patients infected with the Omicron variant. Initially, we documented epidemiological, clinical, and treatment data across varying residency at admission. We compared the severity of COVID-19 and various laboratory indicators, including hemoglobin concentration and SpO2%, over a 14-day period from the date of the first positive nucleic acid test, as well as the differences in treatment methods and disease outcomes between highlanders and high-altitude newcomers. We also compared several characteristics of COVID-19 between high-altitude newcomers and lowlanders. Univariate analysis, multivariable logistic regression, and the generalized linear mixed model were utilized for the analysis.ResultsNo fatalities were observed. The study found no significant differences in COVID-19 severity or in the physiological measures of hemoglobin concentration and SpO2% between high-altitude and lowland residents. Similarly, there were no statistically significant differences in the values or trends of hemoglobin and SpO2% between high-altitude residents and newcomers throughout the 14-day observation period. However, compared to age- and sex-matched lowlander patients (1:5 ratio), high-altitude newcomers exhibited higher heart rates, respiratory rates, and average hemoglobin concentrations, along with lower platelet counts. There were no significant differences in hospital stays between the two groups.ConclusionsHigh-altitude residents and newcomer patients exhibit clinical similarities. However, the clinical characteristics of high-altitude newcomers and lowlander patients differ due to the impact of the high-altitude environment. These results highlight potential considerations for public health strategies in high-altitude regions such as Tibet.