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> Disorders > Sign or Symptom > Hoarseness

Hoarseness

Hoarseness is a common condition characterized by a rough, raspy, or strained voice.
It can be caused by a variety of factors, including vocal cord inflammation, infection, injury, or neurological disorders.
PubCompare.ai's innovative AI-driven platform can help optimize your research on hoarseness by locating the most reliable protocols from literature, pre-prints, and patents, while using advanced comparisons to identify the best approaches and products.
Expereience the power of AI-driven insights to enhance the reproducibility and accuracy of your hoarseness research with PubCompare.ai's user-friendly tools.

Most cited protocols related to «Hoarseness»

1
Differential Diagnosis of Arboviral Infections
Cited 5 times
Presence of the following clinical features were assessed: maculopapular rash, itching, edema, macular rash, enanthema, lymphadenopathy, arthralgia, conjunctival hyperemia, oropharyngeal pain, earache, nasal congestion, purpura, fever, vomiting, hepatomegaly, abdominal pain, nausea, anorexia, headache, taste alteration, bleeding, prostration, lightheadedness, chills, myalgia, dyspnea, low back pain, cough, coryza diarrhea, gingivorrhagia, sweating, petechiae, hoarseness, choluria, dysuria, photophobia, retro-orbital pain and epistaxis. These signs and symptoms were evaluated in the first medical visit by history and clinical examination recorded in structured case report forms. Data on signs and symptoms present on the first or second clinic visit within the first week of disease was collected.
Confirmatory diagnosis of infection for ZIKV, DENV and CHIKV was made by real time PCR test of blood or urine specimens obtained during the same time period [10 (link)]. Dual or triple co-infections were excluded from analysis. Other febrile illnesses (OFI) were diagnosed based on negatives PCR results for all circulating arbovirus. Patients included before 2015 and those who tested negative for ZIKV by RT-PCR were classified as Zika-negative.
Braga J.U., Bressan C., Dalvi A.P., Calvet G.A., Daumas R.P., Rodrigues N., Wakimoto M., Nogueira R.M., Nielsen-Saines K., Brito C., Bispo de Filippis A.M, & Brasil P. (2017). Accuracy of Zika virus disease case definition during simultaneous Dengue and Chikungunya epidemics. PLoS ONE, 12(6), e0179725.
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Publication 2017
Abdominal Pain Anorexia Arboviruses Arthralgia Chills Clinic Visits Coinfection Common Cold Conjunctiva Cough Diarrhea Dyspnea Dysuria Earache Edema Epistaxis Exanthema Fever Gingival Hemorrhage Headache Hematologic Tests Hoarseness Hyperemia Infection Lightheadedness Low Back Pain Lymphadenopathy Macula Lutea Myalgia Nausea Nose Oropharynxs Pain Patients Petechiae Photophobia Physical Examination Purpura Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction Urine Zika Virus
2
Symptoms and Durations of COVID-19
Cited 4 times
Symptoms considered when determining disease duration were: abdominal pain, chest pain, sore throat, shortness of breath, fatigue, hoarse voice, delirium, diarrhea, skipped meals, fever, persistent cough, unusual muscle pains, loss of smell and headache.
Onset of disease was defined as the first day of reporting at least one symptom and a sum of symptoms being nonzero for more than 1 d.
Disease end was defined as the last day of symptom reporting before reporting as healthy for the next consecutive 7 d, or the last day of reporting with fewer than five symptoms before ceasing use of the app. For included participants who had ceased using the app and whose cumulative number of symptoms were fewer than five, disease end was considered as the last log.
Relapse was defined as two or more days of symptoms (minimum of one symptom) within a 7-d window after 1 week of healthy logging, if initial symptoms were temporally close to a positive swab test.
Long COVID was defined as symptoms that persisted for more than 4 weeks (28 d, LC28), more than 8 weeks (56 d, LC56) or more than 12 weeks (LC84) between symptom onset and end, while short duration was defined as an interval of less than 10 d between symptom onset and end, without a subsequent relapse (short COVID).
Sudre C.H., Murray B., Varsavsky T., Graham M.S., Penfold R.S., Bowyer R.C., Pujol J.C., Klaser K., Antonelli M., Canas L.S., Molteni E., Modat M., Cardoso M.J., May A., Ganesh S., Davies R., Nguyen L.H., Drew D.A., Astley C.M., Joshi A.D., Merino J., Tsereteli N., Fall T., Gomez M.F., Duncan E.L., Menni C., Williams F.M., Franks P.W., Chan A.T., Wolf J., Ourselin S., Spector T, & Steves C.J. (2021). Attributes and predictors of long COVID. Nature medicine, 27(4), 626-631.
Publication 2021
Abdominal Pain Chest Pain Cough Delirium Diarrhea Dyspnea Fatigue Fever Headache Disorders Hoarseness LC28 compound Myalgia Post-Acute COVID-19 Syndrome Relapse Sore Throat
3
Symptom Perception and Cancer Awareness
Cited 4 times
The questionnaire first asked about any symptoms experienced in the past three months: ‘In the last 3 months have you had the following’ (list of 17 symptoms, each with yes/no options). The cancer ‘alarm’ symptoms were from the Cancer Awareness Measure (CAM), which was based on warning signs from Cancer Research UK's website [6] , [20] and included: unexplained cough or hoarseness, persistent change in bowel habits, persistent unexplained pain, persistent change in bladder habits, unexplained lump, a change in the appearance of a mole, a sore that does not heal, unexplained bleeding, unexplained weight loss or persistent difficulty swallowing. Persistent was defined broadly as ‘doesn't go away’. Several additional symptoms from the Physical Health Questionnaire [21] (link), of varying level of seriousness, were included to mask the cancer context including headache, shortness of breath, chest pain, feeling tired or having low energy, dizziness, and feeling your heart pound or race. Sore throat was included as a common symptom. For simplicity we refer to these as ‘non-alarm’ symptoms.
If participants responded ‘yes’ to having experienced any symptom, they were asked; ‘What do you think caused it’ in an open response item; from which we coded mentions of cancer as a possible cause. As another indicator of implicit recognition that cancer could be involved, we also asked respondents whether they had been concerned that the symptom might be ‘serious’; with responses on a 5 point Likert scale from ‘not at all’ to ‘extremely’. Ratings of 4 or 5 indicated higher perceived seriousness. Finally, respondents were asked if they had consulted a doctor about the symptom (Yes/No).
Whitaker K.L., Scott S.E., Winstanley K., Macleod U, & Wardle J. (2014). Attributions of Cancer ‘Alarm’ Symptoms in a Community Sample. PLoS ONE, 9(12), e114028.
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Publication 2014
Awareness Chest Pain Cough Defecation Dyspnea Headache Heart Hoarseness Malignant Neoplasms Nevus Pain Physical Examination Physicians Sore Throat Urinary Bladder Wound Healing
4
Evaluating GERD Symptoms and Quality of Life
Cited 4 times
The physician (NK) administered the GIS questionnaire to the patients before diagnostic evaluation. The questionnaire is comprised of 9 items including 5 questions on GERD symptoms (chest pain, heartburn, acid regurgitation, epigastric pain and hoarseness) and 4 questions on QOL. The QOL questions are these: (1) how often have you had difficulty in getting a good sleep because of heartburn or acid reflux?, (2) how often have your symptoms prevented you from eating or drinking any of the foods you like?, (3) how frequently have your symptoms kept you from being fully productive in your job or daily activities? and (4) how often do you take additional unprescribed medication other than what the physician told you to take? A modified 5-point Likert scale was utilized in GIS questionnaire to assess the detailed frequency of the symptoms (1, daily; 2, 3-4 times per week; 3, 1-2 times per week; 4, 1-2 times per month; 5, never). The factors which might be related to GERD were also analyzed i.e., (1) the presence of diabetes mellitus or hypertension, (2) alcohol consumption, (3) smoking and (4) psychiatric treatment or psychopharmacotherapy. Body mass index (BMI) and biochemical test results, including cholesterol, triglycerides, high density lipoprotein (HDL) and low density lipoprotein (LDL) levels were recorded by research assistants.
Jo S.Y., Kim N., Lim J.H., Shin C.M., Park Y.S., Lee D.H, & Jung H.C. (2013). Comparison of Gastroesophageal Reflux Disease Symptoms and Proton Pump Inhibitor Response Using Gastroesophageal Reflux Disease Impact Scale Questionnaire. Journal of Neurogastroenterology and Motility, 19(1), 61-69.
Publication 2013
Acids Chest Pain Cholesterol Diabetes Mellitus Diagnosis Food Gastroesophageal Reflux Disease Heartburn High Blood Pressures High Density Lipoproteins Hoarseness Index, Body Mass Low-Density Lipoproteins Pain Patients Pharmaceutical Preparations Physicians Sleep Triglycerides
5
Comparative Study of SAMBA II COVID-19 Testing
Cited 3 times
The COVIDx Study was a prospective, comparative, real world trial of SAMBA II SARS-CoV-2 point of care testing compared to the standard lab RT-PCR test in participants admitted to Cambridge University Hospitals NHS Foundation Trust (CUH) with a possible diagnosis of COVID-19 (Data S1). CUH is a 1200-bed hospital providing secondary care to a population of 580,000 people in Cambridge and the surrounding area, as well as tertiary referral services to the East of England.
Recruitment started two weeks into the national lockdown implemented by the UK government in response to the pandemic. Eligible consecutive participants were recruited during 12-hour day shifts over a duration of 4 weeks from the 6th of April 2020 to the 2nd of May 2020. The prevalence of PCR positive SARS-CoV-2 infection among in-hospital patients in CUH decreased over the course of the study from 14.8% to 3.1% from week 1 to week 4 of the study. This reflected the background prevalence in Cambridgeshire which decreased from 17.9 per 100 000 population to 14.6 per 100 000 population in weeks 1 to 4 of the study27 . We recruited adults (> 16 years old) presenting to the emergency department or acute medical assessment unit as a possible case of COVID-19 infection. This included participants who met the Public Heath England (PHE) definition of a possible COVID-19 case: any individual requiring hospital admission and has any of: clinical or radiological evidence of pneumonia, or acute respiratory distress syndrome, or an influenza like illness (history of fever and at least one of the following respiratory symptoms, which must be of acute onset- persistent cough (with or without sputum), hoarseness, nasal discharge or congestion, shortness of breath, sore throat, wheezing, sneezing. This definition was later expanded to include any adult requiring hospital admission and who was symptomatic of SARS-nCOV2 infection, demonstrated by clinical or radiological findings. This was done due to the changing landscape of the COVID-19 epidemic and emergence of new symptoms such as anosmia and diarrhea. This protocol amendment was applied after 77% of participants had been enrolled. The inclusion criteria were later expanded to include any adult requiring hospital admission and who was symptomatic of SARS-CoV-2 infection, demonstrated by clinical or radiological findings. This was done due to the changing landscape of the COVID-19 epidemic and emergence of new symptoms such as anosmia and diarrhea. Exclusion criteria included not having the standard lab RT-PCR test applied within an 18-hour window of SAMBA II SARS-CoV-2 test and those unwilling or unable to comply with study swabbing procedures.
Collier D.A., Assennato S.M., Warne B., Sithole N., Sharrocks K., Ritchie A., Ravji P., Routledge M., Sparkes D., Skittrall J., Smielewska A., Ramsey I., Goel N., Curran M., Enoch D., Tassell R., Lineham M., Vaghela D., Leong C., Mok H.P., Bradley J., Smith K.G., Mendoza V., Demiris N., Besser M., Dougan G., Lehner P.J., Siedner M.J., Zhang H., Waddington C.S., Lee H, & Gupta R.K. (2020). Point of Care Nucleic Acid Testing for SARS-CoV-2 in Hospitalized Patients: A Clinical Validation Trial and Implementation Study. Cell Reports Medicine, 1(5), 100062.
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Publication 2020
Adult Cough COVID 19 Diagnosis Diarrhea Dyspnea Epidemics Fever Hoarseness Infection Influenza Inpatient Pandemics Pneumonia Respiratory Distress Syndrome, Acute Reverse Transcriptase Polymerase Chain Reaction Rhinorrhea SARS-CoV-2 Secondary Care Severe Acute Respiratory Syndrome Signs and Symptoms, Respiratory Sore Throat Sputum X-Rays, Diagnostic

Most recents protocols related to «Hoarseness»

1
ARISCAT Risk Index for Postoperative Pulmonary Complications
The ARISCAT risk index is used to predict the following: respiratory failure, bronchospasm, respiratory infections, atelectasis, pneumothorax, pleural effusion, and aspiration pneumonitis.9 (link),10 (link) Atelectasis, pneumonia, or pleural effusion were diagnosed by routine clinical examination, chest radiography (chest x-ray or CT), and other relevant investigations. The risk score was classified as: Low risk: < 26, intermediate risk: 26–44, and High risk: ≥45 (Table 1).

Parameters of the ARISCAT Score and Risk Classification

Score ComponentsRisk Score
Age≤50 year0
51–80 year3
>80 year16
Preoperative oxygen saturation≥96%0
91–95%8
≤ 90%24
Respiratory infection in past 1 monthNo0
Yes17
Preoperative hemoglobin < 10g/dlNo0
Yes11
IncisionPeripheral incision0
Upper abdominal incision15
Intrathoracic incision24
Surgery duration<2 hours0
2–3 hours16
>3 hours23
Emergency procedureNo0
Yes8
RiskARISCAT Score
Low< 26 (1.6%)
Medium/Intermediate26–44 (13.3%)
High≥ 45 (42.1%)
Other PPCs have also been reported, such as phrenic dysfunction due to phrenic nerve injury, hoarseness due to recurrent laryngeal nerve injury, difficult extubation, wound infection, and other complications. The management of complications, duration of chest drainage, length of ICU and hospital stay, and patient outcomes (discharge or in-hospital mortality) were also recorded.
Eldaabossi S., Al-Ghoneimy Y., Ghoneim A., Awad A., Mahdi W., Farouk A., Soliman H., Kanany H., Antar A., Gaber Y., Shaarawy A., Nabawy O., Atef M., Nour S.O, & Kabil A. (2023). The ARISCAT Risk Index as a Predictor of Pulmonary Complications After Thoracic Surgeries, Almoosa Specialist Hospital, Saudi Arabia. Journal of Multidisciplinary Healthcare, 16, 625-634.
Publication 2023
Abdomen Aspiration Pneumonia Atelectasis Bronchospasm Hemoglobin Hoarseness Infection Injuries Nipple Discharge Oximetry Oxygen Oxygen Saturation Patient Discharge Patients Phrenic Nerve Physical Examination Pleural Effusion Pneumonia Pneumothorax Radiography, Thoracic Recurrent Laryngeal Nerve Injuries Respiratory Failure Respiratory Tract Infections Tracheal Extubation Wound Infection
2
Lung Cough Questionnaire (LCQ) Protocol
The LCQ consists of 19 items that cover a physical (8 items), mental (7 items), and social (4 items) domains. The physical condition of the patient is inquired through items 1, 2, 3, 9, 10, 11, 14, and 15 and refers to symptoms that can be associated with cough, including abdominal/chest pain, the production of sputum, fatigue, sleep disorders, hoarseness and changed performance. In addition, certain situations that trigger the cough are recorded. Items 4, 5, 6, 12, 13, 16, and 17 deal with mental aspects: the ability to control the cough reflex and the emotions associated with the symptoms (fears, embarrassment, discouragement, frustration, and worry) play a role in the question selection. Social effects are covered by questions 7, 8, 18, and 19. In this case, the influence of cough symptoms on everyday situations, relationships with family members and on enjoyment of life is asked [27 (link)].
The 3 domains are evenly distributed across the entire questionnaire. Scores are calculated as a mean of each domain and the total score is calculated by adding every domain score [27 (link)].
Ziller V., Oppermann T.S., Cassel W., Hildebrandt O., Kroidl R.F, & Koehler U. (2023). Chronic cough in postmenopausal women and its associations to climacteric symptoms. BMC Women's Health, 23, 93.
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Publication 2023
Abdomen Abdominal Pain Chest Chest Pain Cough Embarrassment Emotions Fatigue Fear Frustration Hoarseness Patients Physical Examination Pleasure Precipitating Factors Reflex Sleep Disorders Sputum
3
Sehhaty App for COVID-19 Vaccine Reporting
The Sehhaty application was launched under the umbrella of digital transformation initiatives by the Saudi MOH aiming to provide access to several healthcare services for individuals in the Kingdom. These services included consultations, PCR testing for SARS-CoV-2, booking COVID-19 vaccine appointments, and reporting COVID-19 vaccines side-effects through the option of manual entering and/or drop box option selection (16 ). Indeed, the Sehhaty application offers a checkbox option to report symptoms for the received vaccine. The following symptoms were available for users to select from in the following order: injection site itching, wheezing, fatigue, hoarseness, low fever, anxiety, fever above or below 39°C, heartburn, injection site swelling, headache, loss of consciousness, nausea, injection site redness, injection site pain, itchiness other than injection site, seizure, dizziness, difficulty or shortness of breath, sleep disruption, swelling of lips, face, and throat, and intensive care unit (ICU) admission. The study participants were provided with a checkbox list that included all of the aforementioned side-effects and were given the option to select from the list if they experienced any of them. Another helpful feature was the registration of the date and the start of symptoms, which allowed for filtering and limiting the studied side-effects to be within a window of 14 days post-vaccination (7 (link)). Participants' demographics data were collected and included: age, gender, nationality, region, COVID-19 vaccine type, the number of vaccine doses, date of vaccination, and date of ICU admission.
Alkhalifah J.M., Al Seraihi A., Al-Tawfiq J.A., Alshehri B.F., Alhaluli A.H., Alsulais N.M., Alessa M.M., Seddiq W., Aljeri T., Qahtani M.H., Barry M, & Al-Otaiby M. (2023). Pattern of self-reported adverse events related to COVID-19 vaccines in Saudi Arabia: A nationwide study. Frontiers in Public Health, 11, 1043696.
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Publication 2023
Anxiety COVID-19 Vaccines Dyspnea Erythema Face Fatigue Fever Gender Headache Heartburn Hoarseness Lip Nausea Pain Pharynx Pruritus SARS-CoV-2 Seizures Sleep Vaccination Vaccines
4
COVID-19 Vaccine Side-Effects Surveillance
The study included all vaccinated female and male individuals in Saudi Arabia of any ethnicity, who were 12–96 years of age and spontaneously self-reported their side-effects through the Sehhaty app after receiving at least one dose of the three available COVID-19 vaccines: Pfizer–BioNTech (BNT162b2), Oxford–AstraZeneca (ChAdOx1-S), and/or Moderna (mRNA-1273) within 14 days of receiving COVID-19 vaccination over the period from 17th December 2020 to 31st December 2021 (7 (link)). The ICU records were considered post vaccine events if they happened within 14 days post COVID-19 vaccination. The exclusion criteria entailed individuals with wrong or missing data entry and/or misidentified unique IDs, individuals who are under 12 years or above 96 years old, those who did not receive COVID-19 vaccination, or who received COVID-19 vaccines other than Pfizer–BioNTech, Oxford–AstraZeneca or Moderna vaccines, and those who reported their side-effects outside of the 14-day window. We excluded those with pre-existing comorbidities and/or autoimmune diseases, as they could confound the results of the self-reported vaccines adverse events. The primary objective was to determine the patterns of minor side-effects: injection site (itchiness, pain, reaction, redness, swelling, and other), anxiety, dizziness, fever above or below 39°C, headache, hoarseness, itchiness other than injection site, loss of consciousness, nausea, heartburn, sleep disruption, and fatigue. In addition, we examined the pattern of reported major COVID-19 vaccine side-effects: seizures, shortness of breath, wheezing, swelling of lips, face, and throat, ICU admission, and loss of consciousness. The AEs were classified as local, systemic, or allergic, or as mild or moderate.
Alkhalifah J.M., Al Seraihi A., Al-Tawfiq J.A., Alshehri B.F., Alhaluli A.H., Alsulais N.M., Alessa M.M., Seddiq W., Aljeri T., Qahtani M.H., Barry M, & Al-Otaiby M. (2023). Pattern of self-reported adverse events related to COVID-19 vaccines in Saudi Arabia: A nationwide study. Frontiers in Public Health, 11, 1043696.
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Publication 2023
2019-nCoV Vaccine mRNA-1273 Anxiety Autoimmune Diseases BNT162B2 ChAdOx1 nCoV-19 COVID-19 Vaccines COVID 19 Dyspnea Erythema Ethnicity Face Fatigue Fever Headache Heartburn Hoarseness Lip Males Nausea Pain Pharynx Pruritus Seizures Sleep Vaccination Vaccine, Pfizer Covid-19 Vaccines Woman
5
Viral Dynamics and Symptom Severity in COVID-19

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Publication 2023
Biological Assay Cacosmia Cough Diarrhea Dyspnea Fever Genes Headache Hoarseness Lung Lymphocyte Count Lymphopenia Metabolic Clearance Rate MLL protein, human Myalgia Nose Patients Physicians Reverse Transcriptase Polymerase Chain Reaction Rhinorrhea SARS-CoV-2 Sore Throat Sputum

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More about "Hoarseness"

Hoarseness, also known as dysphonia, is a common vocal disorder characterized by a rough, raspy, or strained voice.
This condition can be caused by a variety of factors, including vocal cord inflammation, infection, injury, or neurological disorders.
Understanding the underlying causes of hoarseness is crucial for effective management and treatment.
One of the key tools in the study of hoarseness is the SPSS (Statistical Package for the Social Sciences) software, which provides advanced statistical analysis capabilities.
SPSS, along with other software like SAS and SPSS Statistics, can be used to analyze data and identify patterns that may contribute to the development and progression of hoarseness.
In addition to statistical software, researchers may also utilize specialized equipment like the HiViral Transport Kit and Nunc-Immuno™ polystyrene Maxisorp ELISA flat-bottom plates to collect and analyze samples related to hoarseness.
These tools can help researchers gain a better understanding of the underlying biological and physiological factors involved in this condition.
The SPSS 18.0 and SPSS Statistics software versions have been widely used in hoarseness research, providing valuable insights into the epidemiology, risk factors, and treatment approaches for this vocal disorder.
Furthermore, the Universal Transport Medium can be used to collect and preserve samples for subsequent analysis.
By leveraging the power of AI-driven platforms like PubCompare.ai, researchers can optimize their hoarseness research by accessing the most reliable protocols from literature, pre-prints, and patents.
These advanced tools can help identify the best approaches and products, enhancing the reproducibility and accuracy of their studies.
In conclusion, the study of hoarseness involves a multifaceted approach, utilizing a range of software, equipment, and innovative AI-driven platforms.
By integrating these resources, researchers can gain a deeper understanding of this common vocal disorder and develop more effective strategies for its management and treatment.