Patient Vital Signs Research Articles

Massage Therapy May be Safe and Reduce Pain in Critically Ill Patients with Acute Neurological Injury: a Case Control Study.

Massage therapy is an important adjunctive treatment for physiologic and psychologic symptoms and has been shown to benefit patients among a wide variety of patient populations. Few studies have investigated the utility of massage therapy in the general ICU setting, and even fewer have done so in the neurological ICU (NeuroICU). If massage therapy was determined to improve objective outcomes-or even subjective outcomes in the absence of harm-massage may be more readily employed as a complementary therapy, particularly in the ICU setting or in patients with acute neurological injury. This pilot study aimed to assess the safety of massage in the neurocritical care unit and its impact on patient vital signs, subjective pain assessment, and other clinical outcomes. Twenty-one patients who received massage therapy during admission to the neurocritical care service were compared to matched controls in a retrospective case control study design. We found a statistically significant reduction in pain scores among patients with acute neurological injury who received massage therapy. There was no statistical difference in hospital length of stay, discharge destination, in-hospital mortality, adverse events, or incidence/duration of delirium between patients who received massage therapy and those who did not. No adverse events were ascribed to the massage therapy when evaluated by blinded neurocritical care specialists. This study found that massage therapy may be safe for many patients in the NeuroICU and may offer additional subjective benefits.

Yamaguchi Sendromu: Akut Koroner Sendrom Ayırıcı Tanısında Zor Bir Tanı

Apical hypertrophic cardiomyopathy (ApHCM) (Yamaguchi Syndrome) with hypertrophy of the ventricular apex constitutes 8% of the hypertrophic cardiomyopathies (HCMs). ApHCM can cause ventricular malignant dysrhythmias, atrial fibrillation, and ischemic chest pain. Definitive diagnosis is made by electrocardiography (ECG) and transthoracic echocardiography. A 73-year-old male patient was admitted to the emergency department with chest pain. The patient's vital signs were within the normal range. In the ECG, there were giant negative T wave in leads V4-5-6, 0.5 mm ST segment depression, and left ventricular hypertrophy in the inferior derivations. The left ventricular apex thickness was measured as 14 mm (reference range: 6-11). Although the HEART score was 4, the preliminary diagnosis of the patient was determined as ApHCM. Beta-blocker and antiplatelet therapy were started. The mortality and morbidity rates of ApHCM are higher among HCMs. Clinicians should be aware of such ECG and echocardiography findings to prevent possible morbidity and mortality.

Clinical triggers and vital signs influencing crisis acknowledgment and calls for help by anesthesiologists: A simulation-based observational study

Study objectiveIn a perioperative emergency, anesthesiologists must acknowledge the unfolding crisis promptly, call for timely assistance, and avert patient harm. We aimed to identify vital signs and qualitative factors prompting crisis acknowledgment and to compare responses between observers and participants in simulation. DesignProspective, simulation-based, observational study. SettingAn anesthesia crisis resource management course at a freestanding simulation center. SubjectsSixty attending anesthesiologists from a variety of practice settings. InterventionsIn each case, a primary anesthesiologist in charge (PAIC) managed a simulated patient undergoing a uniformly scripted sequence of perioperative anaphylaxis and called for help from another anesthesiologist when a crisis began. Anesthesiologist observers (AOs) viewed the case separately and recorded times of crisis onset. MeasurementsSimulation footage was reviewed by investigators for patient vital signs and participant behaviors at times of crisis acknowledgment, with the call for help as an explicit proxy for PAIC crisis acknowledgment. These factors were categorized, and group-level data were compared. ResultsNineteen PAICs and 41 AOs were included. Clinicians acknowledged crises around a mean arterial pressure (MAP) of 65 mmHg and oxygen saturation of 94% as anaphylactic shock progressed. PAICs acknowledged crises at a higher respiratory rate than AOs (20 vs. 18 breaths/min, p = 0.038). Other vitals and timing of crisis acknowledgment did not differ between PAICs and AOs. Nearly half of all participants (45%) identified crises at MAP <65 mmHg. Timing of crisis acknowledgment varied widely (range: 421 s). ConclusionsDespite overall heterogeneity in clinical performance, anesthesiologists acknowledged crises per standard definitions of hypotension. Thresholds for crisis acknowledgment did not significantly differ between PAICs and AOs, suggesting minimal effect from active care responsibility. Many indicated crises at MAP <65 mmHg or after significant deterioration, risking failure-to-rescue events. We suggest that crisis management instruction should address triggers for requesting help.

The Study of Biomarkers inSmokers Infected with Covid-19 in Basra, Iraq

Background: The COVID-19 pandemic has heightened awareness of infectious illnesses and their links to host variables and underlying disorders. Objectives: In this review, we look at current research on a possible link between smoking and COVID-19 and study the biomarker changes in patients. Material and Methods: A case-control study included 45 smoker’s patients with COVID-19 and 50 healthy subjects as a control group who visited Al-Basra Teaching Hospital and Allmwanei Hospital in Al-Basra province between October 2021 and February 2022. The age average for the study population was (25-80) years. Serum and blood levels of human CBC, ESR, CRP, Ferritin, D-Dimer, IL 6, Albumin, FBS, HbA1c, Troponin, Cholesterol, Triglyceride, HDL, LDL, VLDL, Creatinine, Urea, Uric acid and GFR were measured. Results: The results show all biomarkers tend to have high sensitivity and specificity for smoker COVID patients based on the ROC curve analysis: Lymphocyte, CRP, Ferritin, D-Dimer, IL 6, Albumin, FBS, HDL, Creatinine, Urea, and GFR. These biomarkers might be helpful in determining the kind and severity of COVID-19 in smokers. Although the data is limited to a total number of patients. Conclusion: Studying patient alterations and vital signs led to the conclusion that smoking and COVID-19 are related. It was also verified that all vital indicators had strong sensitivity and specificity for smoking COVID patients.

An Easy-to-Use Prehospital Indicator to Determine the Severity of Suspected Heat-Related Illness: An Observational Study in the Tokyo Metropolitan Area.

Rapid hospital arrival decreases mortality risk in heat-related illnesses. We investigated an easy-to-use indicator of life-threatening severity of heat-related illnesses in a community setting to enable quick hospitalization by using data extracted from prehospital transportation records of a database from 2016 that included information on the clinical severity of suspected heat-related illnesses in patients (n = 2528) upon hospital arrival. Patient-related risk factors (adjusted odds ratio, aOR [95% confidence interval, CI]) included age, vital signs, location of the patient, and illness severity, and respiratory rate (3.34 [1.80-6.22]), heart rate (2.88 [1.57-5.29]), axillary body temperature (7.79 [4.02-15.1]), and consciousness level (38.3 [5.22-281.1]) were independent risk factors for heat-related illness severity. On-site blood pressure was not an independent factor for illness severity. Heart rate > 120 beats/min, respiratory rate > 24 breaths/min, and temperature > 38.6 °C (highest areas under the receiver operating characteristic curves [95% CI]: 0.80 [0.75-0.87]; 0.73 [0.67-0.81]; and 0.83 [0.77-0.91], respectively) predicted life-threatening illness severity. Changes in the vital signs of patients with heat-related illnesses, particularly tachycardia and tachypnea, constitute sensitive, easy-to-use indicators that facilitate rapid identification of severity by laypersons and transport of patients before aggravation to a life-threatening situation.

Detection of biochemical markers levels among COVID-19 patients, recovered and vaccinated groups of people

The new virus first appeared in the Chinese city of Wuhan in 2019 and spread around the world, like the outbreak of the Coronavirus (COVID-19), causing severe acute respiratory syndrome in humans, which can be fatal to individuals at risk. The primary purposes of this study are to assess the diagnostic power of the following biochemical (D dimer, CRP, LDH and serum ferritin) markers in identifying the diagnosis and severity of COVID-19 and to find out the differences in these hematological and biochemical markers among COVID 19 patients and recovered. The study included (50) patients diagnosed with COVID-19 (25 males and 25 females) who visited Al-Hussein Teaching Hospital in ThiQar province, (50) Patients recovering from COVID-19 infection, (50) People who have received COVID-19 vaccines and (50: 25 people were vaccinated with Sinopharm and 25 people were vaccinated with Pfizer) healthy subjects as a control group. The study population age ranged from (20-70 years) old. Specialist physicians diagnosed all patients with COVID-19 in this study, which was confirmed by clinical and laboratory tests, especially polymerase chain reaction PCR. The results of the current study have shown that there is a significant difference(PValue &lt; 0.05) between the study groups according to the age group in each of the levels (D dimer, LDH, serum ferritin). The current study also revealed a significant difference between the study groups according to gender in each of (D. dimer, LDH), and there is no significant difference in each of (CRP, serum ferritin). A significant difference is expected where the difference between the two averages is between the patients' COVID-19 group and the control group, the recovered group, or the vaccinated group(LSD of D. dimer &gt;95.10, LSD of CRP&gt;11.86, S. ferritin &gt;120.61, LSD of LDH&gt;75.45) and no significant between control and recovered. An increase in the levels of the following vital signs for patients with COVID-19: D dimer, CRP, LDH, and serum ferritin. In the recovered groups, the levels were normal. Keywords: biochemical markers, COVID19, recovered and vaccinated group of people

Combined computed tomography and C-arm resuscitation room system (CTCARM) is associated with decreased time to definitive hemostasis and reduces preperitoneal pelvic packing maneuvers in severe pelvic trauma

ObjectivesSevere pelvic fracture concomitant with massive bleeding is potentially lethal, and intervention for hemorrhage control still depends on institutional supplies. With the recent installation of a CT and C-arm combined...

Notice of Retraction: The Effect of Aromatherapy with the Essential Oil of Orange on Pain and Vital Signs of Patients with Fractured Limbs Admitted to the Emergency Ward: A Randomized Clinical Trial.

[This retracts the article DOI: 10.4103/IJPC.IJPC_37_17.][This retracts the article DOI: 10.15452/CEJNM.2017.08.0024.].

Study of clinical experiments of novel sedative drugs based on chi-square test and logistics regression model

Local sedation and analgesic drugs are often indispensable in medical trauma surgery. They can not only assist doctors to complete the operation, but also greatly reduce the pain of patients. Therefore, constantly looking for better effective sedative drugs is an extremely important field in medical research. For the new sedative drug "R drug", this paper uses the data analysis of patient intraoperative and postoperative adverse reactions, patient vital signs, patient satisfaction and related problems to establish an appropriate mathematical model and evaluate its clinical efficacy. First, Data cleaning was performed on the data[1], Quantification and normalized dimensionless pretreatment; Next, We calculated K2 values using the chi-square test and Yates's correction, By comparing the K2 values to the standard values, Then to judge whether there are significant differences between each index; Then, When predicting adverse reactions, we used a logistics regression model to predict the probability that each reaction may occur, The accuracy of the model is tested by the heat map of the confusion matrix and the ROC curve; Last, We performed the data analysis of each index in 0-5 minutes, By mapping the nuclear density of the different indicators under the B and R drugs, Mann-Whitney U test using independent samples, P values were calculated to determine whether the new drug group and the original drug group showed significant differences in vital sign data.

EARLY PREDICTION OF UNEXPECTED LATENT SHOCK IN THE EMERGENCY DEPARTMENT USING VITAL SIGNS.

Objective/Introduction : Sequential vital-sign information and trends in vital signs are useful for predicting changes in patient state. This study aims to predict latent shock by observing sequential changes in patient vital signs. Methods : The dataset for this retrospective study contained a total of 93,194 emergency department (ED) visits from January 1, 2016, and December 31, 2020, and Medical Information Mart for Intensive Care (MIMIC)-IV-ED data. We further divided the data into training and validation datasets by random sampling without replacement at a 7:3 ratio. We carried out external validation with MIMIC-IV-ED. Our prediction model included logistic regression (LR), random forest (RF) classifier, a multilayer perceptron (MLP), and a recurrent neural network (RNN). To analyze the model performance, we used area under the receiver operating characteristic curve (AUROC). Results : Data of 89,250 visits of patients who met prespecified criteria were used to develop a latent-shock prediction model. Data of 142,250 patient visits from MIMIC-IV-ED satisfying the same inclusion criteria were used for external validation of the prediction model. The AUROC values of prediction for latent shock were 0.822, 0.841, 0.852, and 0.830 with RNN, MLP, RF, and LR methods, respectively, at 3 h before latent shock. This is higher than the shock index or adjusted shock index. Conclusion : We developed a latent shock prediction model based on 24 h of vital-sign sequence that changed with time and predicted the results by individual.

Representing patient vital signs with overlapping or serial earcon components

There is interest in how clinicians can achieve good awareness of their patients’ wellbeing in a way that is not provided by conventional alarms. Earcons (short abstract sound motifs) provide an alternative. In three experiments we explored how effectively normal and abnormal levels of a patient's heart rate (HR), arterial oxygen saturation (SpO2) and blood pressure (BP) could be conveyed using two different earcon designs: overlapping (individual earcons for each vital sign played at the same time) or serial (individual earcons played one after the other). HR was mapped to the tremolo (sound vibration) rate in short bursts of white noise, SpO2 was mapped to the relative pitch of a tone, and BP was mapped to the range of an upward or downward sweep of pitch (chirp) of a tone. Experiment 1 compared how well non-clinician participants could identify HR and SpO2 using overlapping and serial mappings and found no difference in accuracy either for mapping or across vital signs. Experiment 2 added the BP vital sign, and compared overlapping and serial mappings. Identification accuracy was better with the serial mapping than with the overlapping mapping, and better for HR than for either SpO2 or BP. Experiment 3 replicated Experiment 2 but added conditions in which participants were cued to report a single vital sign in order to check whether memory limits or output interference were constraining the ability to report vital signs. When the cue appeared after the earcons were played, approximating a classic partial report paradigm, there was no improvement in identification accuracy, suggesting that earcon interpretability rather than memory load or output interference was constraining responses. However, when the cue appeared before the earcons were played, identification improved, suggesting that focused attention aided interpretation of the earcons. Although design modifications are needed, the results suggest that three vital signs may best be displayed in serial presentation for clinicians to maintain awareness of a patient's wellbeing in a convenient eyes-free manner.

Retroperitoneal Hematoma Following Cesarean Section: A Case Report

Background: In this case report, a retroperitoneal hematoma developed after an uncomplicated cesarean section. Case report: A 37-year-old patient with a term pregnancy was hospitalized for elective cesarean section with the diagnosis of repeated cesarean section. A live female baby of 3040 grams was delivered. There was no complication during surgery. The patient was transferred to the service postoperatively. Fainting sensation, tachycardia, tachypnea, and hypotension occurred in the first postoperative hour. In the CT scan, a 108x105 mm hematoma was observed in the right lateral retroperitoneal area of the uterus. When the hemoglobin value was 6.9 on the postoperative 1st day, 2 Units of erythrocyte suspension and 2 Units of fresh frozen plasma were given to the patient, The patient's vital signs remained stable for 4 days postoperatively. Conclusion: The retroperitoneal hematoma is a potentially life-threatening condition. Conservative or surgical treatment should be applied according to clinical findings.

Concept of a new Medical Data-Driven Health Care Model based on Remote Patient Monitoring.

This paper introduces a health care model for a physician supervised remote monitoring process of patient's vital signs. The model is discussed from a process view, a medical view and a technical view. Subsequently, different scenarios for patients at home with and without outpatient care, and in a nursing home were compared. Parts of this model have been implemented and evaluated as a proof of concept.Clinical Relevance- Remote patient monitoring has the potential to relieve general practitioners in their work and help them to improve prevention and treatment of their patients. The prevention aspect in particular can contribute to a general reduction in the burden on the entire health care system.

Comparation of two methods of surgery for myoma bleeding rate in open myomectomy cases: Ligation and using tourniquet

BackgroundMyomectomy is a surgical procedure that is associated with the removal of non-cancerous masses inside the uterus. Among the methods of myomectomy, we can mention the use of tourniquet and ligation. This study was designed to compare 2 surgery methods for bleeding management in myomectomy. MethodsThis prospective randomized control trial study was conducted on 60 patients who were divided into two groups and underwent myomectomy by 2 surgery methods: ligation and using tourniquet, in Emam Sajad hospital in 2020–2022. Informed consent was obtained from all participants. All the patients underwent ultra-sonography. Patient's vital signs and Hemoglobin was recorded after surgery. Further, after discharge, the patient's condition was followed up for 2 weeks. ResultsThe average age of the patients in the tourniquet and ligation group was about 38 and 39 years, respectively. In this study, out of a total of 60 patients, 30 were in the tourniquet group and 30 were in the ligation group. According to the results, there was a significant difference between the average volume of bleeding and the duration from surgery onset to myoma removal in the 2 groups (p<0.05). But there was no significant difference between average blood pressure (p = 0.45), heart rate (p = 0.64), respiration rate (p = 0.03), hemoglobin (p = 0.88) and platelets 6 h after surgery (p = 0.31) between 2 studied groups. ConclusionOur findings showed that, the amount of bleeding and duration of surgery in the ligation method was less than applying tourniquet. So, ligation method can be a safe method in open myomectomy surgeries.

The effects of acupressure on pain, anxiety and vital signs in patients undergoing coronary angiography: A randomized and sham-controlled trial

AimThis randomised sham-controlled trial aimed to analyse the effects of acupressure on pain, anxiety, and vital signs in patients who underwent coronary angiography. Materials and methodsAfter undergoing coronary angiography, 105 patients were randomised into acupressure (n = 35), sham acupressure (n = 35), and control groups (n = 35). Patients in the acupressure group received acupressure on the heart meridian 7 (HT7), large intestine meridian 4 (LI4), and pericardium meridian (PC6) acupoints 30 min after admission to the clinic, for a period of 16 min, whereas those in the sham group received acupressure on locations 1–1.5 cm away from these points. The control group received standard treatment. The patient information form, Spielberger's state anxiety inventory, visual analogue scale, and vital signs follow-up form were used for data collection. FindingsConsecutive measurements revealed that anxiety levels in the acupressure group were lower than that in the sham and control groups (p < 0.05). In addition, compared to the sham and control groups, the pain scores in the acupressure group decreased significantly after acupressure (p < 0.01). Although there was no significant difference between the pain scores of the sham group before and after acupressure intervention (p > 0.05), the scores of the control group increased significantly over time (p < 0.01). Finally, the vital signs decreased significantly in the acupressure and sham groups after intervention (p < 0.01), but increased significantly in the control group (p < 0.01). ConclusionThe findings of this trial indicated that acupressure is an effective method for reducing anxiety, pain, and vital signs.

Health and Safety Risk Analysis with JSA Method (Job Safety Analysis)

Occupational safety and health in hospitals as health services is an important thing to pay attention to. Nurses as one of the medical personnel in the hospital have risks and hazards that are quite vulnerable in every process of their work. Data found from the PPI (Infection Prevention and Control) committee at DR Tadjuddin Chalid General Hospital Makassar as many as 17 cases of needle stick accidents in the last 5 years, there was 1 case of a slip/fall accident when an inpatient co-worker took the patient to the operating room. The purpose of this study is to describe the level of occupational safety and health risks that can occur in nurses at DR Tadjuddin Chalid General Hospital Makassar. The research design used is qualitative in nature with the approach method, namely risk management with interview guide instruments, observation, cameras for documentation and Job Safety Analysis to identify the risks and hazards of nurses' work. Risk assessment uses a semi-quantitative method. The results of this study indicate that the highest risk in the Emergency Room with a score of 300 (Priority 1) is at the anamnase stage and the patient's vital signs, there is a risk of danger of droplet contact contracting the patient's infectious disease and during infusion there is a risk of needle sticks. The results in the ICU show a risk level with a value of 300 (Priority 1) in the administration of injection drugs, infusion with a risk of needle pricks and in personal hygiene activities with a value of 90, there is a risk of contact with the patient's body fluids, and the results in ordinary hospitalization show a high level of risk with a value of 300 (Priority 1) on the examination of the patient's vital signs with a risk of danger of contact with the patient's body fluids, installation of infusion and administration of injection drugs, risk of needle stick hazard. The conclusion from the research results obtained is that there is a need for technical improvements, it is hoped that better supervision in the implementation of SOPs for nursing actions and the active role of K3 Hospitals in identifying deeper stages of nurse work in hospitals.

Design of an Adaptive State Anesthesia Feedback Controller

Anesthesia is critical in medical procedures to ensure the patient's body remains stable and unresponsive during surgery. However, administering the correct dose can be challenging, particularly in prolonged surgeries. An auto-controlled system that incorporates vital sensors and a microprocessor controller has been proposed to address this issue. This system uses an infusion pump to provide the correct amount of anesthetic based on the patient's vital signs. The microprocessor takes control of the system once initiated and signals the motor driver to start injecting the required amount of anesthesia while monitoring vital signs such as temperature, heartbeat, and Spo2. The system alerts the doctor if any abnormality is detected, and the supply of anesthetic is stopped until everything returns to normal. This system ensures accurate anesthetic dosage, minimizing the risk of complications and ensuring a safe surgical procedure.

Smart Chemical Sensor and Biosensor Networks for Healthcare 4.0.

Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, artificial intelligence (AI), big data, the Internet of things (IoT), machine learning, and augmented reality (AR) to transform the healthcare sector. Healthcare 4.0 creates a smart health network by connecting patients, medical devices, hospitals, clinics, medical suppliers, and other healthcare-related components. Body chemical sensor and biosensor networks (BSNs) provide the necessary platform for Healthcare 4.0 to collect various medical data from patients. BSN is the foundation of Healthcare 4.0 in raw data detection and information collecting. This paper proposes a BSN architecture with chemical sensors and biosensors to detect and communicate physiological measurements of human bodies. These measurement data help healthcare professionals to monitor patient vital signs and other medical conditions. The collected data facilitates disease diagnosis and injury detection at an early stage. Our work further formulates the problem of sensor deployment in BSNs as a mathematical model. This model includes parameter and constraint sets to describe patient body characteristics, BSN sensor features, as well as biomedical readout requirements. The proposed model's performance is evaluated by multiple sets of simulations on different parts of the human body. Simulations are designed to represent typical BSN applications in Healthcare 4.0. Simulation results demonstrate the impact of various biofactors and measurement time on sensor selections and readout performance.

Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring

The monitoring of human activities using simple body worn sensors is an important and emerging area of research in machine learning. The sensors capture a large amount of data in a short period of Time in a relatively un-obtrusive manner. The sensor data might have different transitions to be used for deification of different user activities. Therefore, change point detection can be used to classify the transition from one underlying distribution to another. The automatic and accurate change point detection is not only used for different events, however, can also be used for generating real world datasets and responding to changes in patient vital signs in critical situation. Moreover, the huge amount of data can use the current state-of-the-art cloud and edge computing platforms to process the change detection locally and more efficiently. In this paper, we used multivariate exponentially weighted moving Average (MEWMA) for online change point detection. Additionally, genetic algorithm (GA) and particle swarm optimization (PSO) is used to automatically identify an optimal parameter set by maximizing the F-measure. The optimisation approach is implemented over an edge cloud platform so that the data can be processed locally and more accurately. Furthermore, we evaluate our approach against multivariate cumulative sum (MCUSUM) from state-of the-art in terms of different metric measures such as accuracy, precision, sensitivity, G-means and F-measure. Results have been evaluated based on real data set collected using accelerometer for a set of 9 distinct activities performed by 10 users for total period of 35 minutes with achieving high accuracy from 99.3% to 99.9% and F-measure up to 62.94%.

Is VATS suitable for lung diseases with hemoptysis? Experience from a hemoptysis treatment center in China

BackgroundSurgery is crucial in the treatment of the potentially fatal pulmonary hemoptysis condition. Currently, most patients with hemoptysis are treated by traditional open surgery (OS). To illustrate the effectiveness of video-assisted thoracic surgery (VATS) for hemoptysis, we developed a retrospective study of surgical interventions for lung disease with hemoptysis.MethodsWe collected and then analysed the data, including general information and post-operative outcomes, from 102 patients who underwent surgery for a variety of lung diseases with hemoptysis in our hospital between December 2018 and June 2022.ResultsSixty three cases underwent VATS and 39 cases underwent OS. 76.5% of patients were male (78/102). Comorbidities with diabetes and hypertension were 16.7% (17/102) and 15.7% (16/102) respectively. The diagnoses based on postoperative pathology included aspergilloma in 63 cases (61.8%), tuberculosis in 38 cases (37.4%) and bronchiectasis in 1 case (0.8%). 8 patients underwent wedge resection, 12 patients underwent segmentectomy, 73 patients underwent lobectomy and 9 patients underwent pneumonectomy. There were 23 cases of postoperative complications, of which 7 (30.4%) were in the VATS group, significantly fewer than 16 (69.6%) in the OS group (p = 0.001). The OS procedure was identified as the only independent risk factor for postoperative complications. The median (IQR) of postoperative drainage volume in the first 24 h was 400 (195–665) ml, which was 250 (130–500) ml of the VATS group, significantly less than the 550 (460–820) ml of the OS group (p < 0.05). The median (IQR) of pain scores 24 h after surgery was 5 (4–9). The median (IQR) of postoperative drainage tube removal time was 9.5 (6–17) days for all patients, and it was 7 (5–14) days for the VATS group, which was less than 15 (9–20) days for the OS group.ConclusionVATS for patients with lung disease presenting with hemoptysis is an effective and safe option that may be preferred when the hemoptysis is uncomplicated and the patient's vital signs are stable.