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What Do I Need to Know About the Pneumococcal Pneumonia Vaccine?

Author/s: 
Jerard Z. Kneifati-Hayek, Michael A. Incze

What Is the Pneumococcal Pneumonia Vaccine?
The pneumococcal vaccine protects against infections from a type of bacteria called pneumococcus. Pneumococcus is a common cause of pneumonia (a lung infection), as well as other serious infections. The vaccine prepares your immune system to recognize and fight pneumococcal bacteria. The vaccine is usually given through an injection into the arm. Some versions can also be inhaled. The vaccines do not contain living or dead bacteria. The pneumococcal vaccine does not protect you from other lung infections like the flu (influenza), COVID-19, RSV (respiratory syncytial virus), or other kinds of bacteria that cause pneumonia. It is still important to get your flu shot every year and other vaccines your doctor recommends, even if you already got the pneumococcal vaccine.

What Are Benefits of Pneumococcal Pneumonia Vaccines?
The vaccine substantially lowers your risk of hospitalization or dying from serious pneumococcal infection. Vaccination can reduce the risk of pneumonia-related deaths by almost half.

Why Is There a New Pneumococcal Pneumonia Vaccine, and How Does It Differ From Prior Versions?
There are several types of pneumococcal bacteria that can cause pneumonia. Being vaccinated against one type of pneumococcus may not protect you from other types that could make you sick. Previous pneumococcal pneumonia vaccines like PPSV23 or PCV13 do not protect against all types of the pneumococcal bacteria that cause pneumonia. Newer vaccines were made in 2021 (PCV15 and PCV20) and 2024 (PCV21). These help to prevent infections from types of bacteria not covered by older versions.

What Are the Potential Side Effects?
Side effects are frequent but generally mild. The most common side effect is pain or redness at the site of injection. Less common side effects include fever, feeling tired, muscle ache, and headache. These are less severe than for other vaccines like flu and shingles. These effects can be treated with over-the-counter medications and generally go away within 24 to 48 hours. Life-threatening allergic reactions are extremely rare but possible. Seek immediate medical attention if you experience severe symptoms like difficulty breathing or progressive weakness after vaccination. The pneumonia vaccine cannot cause pneumonia or other bacterial illness.

Who Should Get a New Pneumococcal Pneumonia Vaccine?
All adults 50 years and older who have not been vaccinated should receive one of the new vaccines: PCV21, PCV20, or a sequence of PCV15 followed by PPSV23. People younger than 50 years with certain health problems should also get the new vaccine. These health problems include diabetes; chronic conditions affecting the heart, lungs, liver, or kidneys; current tobacco use or heavy alcohol consumption; a weak immune system from certain health problems or medications; absence or prior removal of the spleen; and a history of spinal fluid leak or a cochlear (inner ear) implant.

Most adults who got either PPSV23 and/or PCV13 should still get a booster with one of the newer vaccines. The different pneumococcal vaccines protect against different types of bacteria. Some types of bacteria are more common in people depending on their age, health, and where they live. Talk to your doctor about which vaccine is best for you.

Prevention of Episodic Migraine Headache Using Pharmacologic Treatments in Outpatient Settings: A Clinical Guideline From the American College of Physicians

Author/s: 
Amir Qaseem, Thomas G Cooney, Itziar Etxeandia-Ikobaltzeta, Timothy J Wilt

The American College of Physicians (ACP) developed this clinical guideline for clinicians caring for adults with episodic migraine headache (defined as 1 to 14 headache days per month) in outpatient settings.

Methods: ACP based these recommendations on systematic reviews of the comparative benefits and harms of pharmacologic treatments to prevent episodic migraine, patients' values and preferences, and economic evidence. ACP evaluated the comparative effectiveness of the following interventions: angiotensin-converting enzyme inhibitors (lisinopril), angiotensin II-receptor blockers (candesartan and telmisartan), antiseizure medications (valproate and topiramate), β-blockers (metoprolol and propranolol), calcitonin gene-related peptide (CGRP) antagonist-gepants (atogepant or rimegepant), CGRP monoclonal antibodies (eptinezumab, erenumab, fremanezumab, or galcanezumab), selective serotonin reuptake inhibitors and serotonin and norepinephrine reuptake inhibitors (fluoxetine and venlafaxine), and a tricyclic antidepressant (amitriptyline). ACP used the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach to analyze the effects of pharmacologic treatment on the following outcomes: migraine frequency and duration, number of days medication was taken for acute treatment of migraine, frequency of migraine-related emergency department visits, migraine-related disability, quality of life and physical functioning, and discontinuations due to adverse events. In addition, adverse events were captured through U.S. Food and Drug Administration medication labels and eligible studies.

Recommendations: In this guideline, ACP makes recommendations for clinicians to initiate monotherapy for episodic migraine prevention in nonpregnant adults in the outpatient setting as well as alternative approaches if initial treatments are not tolerated or result in an inadequate response. All 3 ACP recommendations have conditional strength and low-certainty evidence. Clinical considerations provide additional context for physicians and other clinicians.

Incidence, co-occurrence, and evolution of long-COVID features: A 6-month retrospective cohort study of 273,618 survivors of COVID-19

Author/s: 
Taquet, M., Dercon, Q., Luciano, S., Geddes, J. R., Husain, M., Harrison, P. J.

Background
Long-COVID refers to a variety of symptoms affecting different organs reported by people following Coronavirus Disease 2019 (COVID-19) infection. To date, there have been no robust estimates of the incidence and co-occurrence of long-COVID features, their relationship to age, sex, or severity of infection, and the extent to which they are specific to COVID-19. The aim of this study is to address these issues.

Methods and findings
We conducted a retrospective cohort study based on linked electronic health records (EHRs) data from 81 million patients including 273,618 COVID-19 survivors. The incidence and co-occurrence within 6 months and in the 3 to 6 months after COVID-19 diagnosis were calculated for 9 core features of long-COVID (breathing difficulties/breathlessness, fatigue/malaise, chest/throat pain, headache, abdominal symptoms, myalgia, other pain, cognitive symptoms, and anxiety/depression). Their co-occurrence network was also analyzed. Comparison with a propensity score–matched cohort of patients diagnosed with influenza during the same time period was achieved using Kaplan–Meier analysis and the Cox proportional hazard model. The incidence of atopic dermatitis was used as a negative control.

Among COVID-19 survivors (mean [SD] age: 46.3 [19.8], 55.6% female), 57.00% had one or more long-COVID feature recorded during the whole 6-month period (i.e., including the acute phase), and 36.55% between 3 and 6 months. The incidence of each feature was: abnormal breathing (18.71% in the 1- to 180-day period; 7.94% in the 90- to180-day period), fatigue/malaise (12.82%; 5.87%), chest/throat pain (12.60%; 5.71%), headache (8.67%; 4.63%), other pain (11.60%; 7.19%), abdominal symptoms (15.58%; 8.29%), myalgia (3.24%; 1.54%), cognitive symptoms (7.88%; 3.95%), and anxiety/depression (22.82%; 15.49%). All 9 features were more frequently reported after COVID-19 than after influenza (with an overall excess incidence of 16.60% and hazard ratios between 1.44 and 2.04, all p < 0.001), co-occurred more commonly, and formed a more interconnected network. Significant differences in incidence and co-occurrence were associated with sex, age, and illness severity. Besides the limitations inherent to EHR data, limitations of this study include that (i) the findings do not generalize to patients who have had COVID-19 but were not diagnosed, nor to patients who do not seek or receive medical attention when experiencing symptoms of long-COVID; (ii) the findings say nothing about the persistence of the clinical features; and (iii) the difference between cohorts might be affected by one cohort seeking or receiving more medical attention for their symptoms.

Conclusions
Long-COVID clinical features occurred and co-occurred frequently and showed some specificity to COVID-19, though they were also observed after influenza. Different long-COVID clinical profiles were observed based on demographics and illness severity.

Author summary
Why was this study done?
Long-COVID has been described in recent studies. But we do not know the risk of developing features of this condition and how it is affected by factors such as age, sex, or severity of infection.
We do not know if the risk of having features of long-COVID is more likely after Coronavirus Disease 2019 (COVID-19) than after influenza.
We do not know about the extent to which different features of long-COVID co-occur.
What did the researchers do and find?
This research used data from electronic health records of 273,618 patients diagnosed with COVID-19 and estimated the risk of having long-COVID features in the 6 months after a diagnosis of COVID-19. It compared the risk of long-COVID features in different groups within the population and also compared the risk to that after influenza.
The research found that over 1 in 3 patients had one or more features of long-COVID recorded between 3 and 6 months after a diagnosis of COVID-19. This was significantly higher than after influenza.
For 2 in 5 of the patients who had long-COVID features in the 3- to 6-month period, they had no record of any such feature in the previous 3 months.
The risk of long-COVID features was higher in patients who had more severe COVID-19 illness, and slightly higher among females and young adults. White and non-white patients were equally affected.
What do these findings mean?
Knowing the risk of long-COVID features helps in planning the relevant healthcare service provision.
The fact that the risk is higher after COVID-19 than after influenza suggests that their origin might, in part, directly involve infection with SARS-CoV-2 and is not just a general consequence of viral infection. This might help in developing effective treatments against long-COVID.
The findings in the subgroups, and the fact that the majority of patients who have features of long-COVID in the 3- to 6-month period already had symptoms in the first 3 months, may help in identifying those at greatest risk.

Unhealthy alcohol use in a 65-year-old man awaiting surgery

Author/s: 
Brothers, T. D., Kaulbach, J., Tran, A.

Three months before elective hip arthroplasty, a 65-yearold man with osteoarthritis presents to his family physician to discuss his alcohol consumption. His surgeon had expressed concern and advised him to speak to his family physician about decreasing his drinking before surgery. He reports drinking around 6 to 10 ounces of whiskey daily for the past 5 years. His alcohol intake increased gradually after retirement, and he now has cravings daily. He recently abstained from alcohol for 4 days while visiting family and developed irritability, tremor, nausea and headache. He has never had withdrawal seizures or delirium tremens, and he does not use any other substances. He is otherwise healthy, apart from hypertension that is controlled with perindopril. He is alarmed by his cravings, withdrawal symptoms and surgeon’s concerns, and is considering decreasing his alcohol use.

More than 50 long‑term effects of COVID‑19: a systematic review and meta‑analysis

Author/s: 
S., Wegman-Ostrosky, T., Perelman, C., Sepulveda, R., Rebolledo, P. A., Cuapio, A., Villapol, S.

COVID-19 can involve persistence, sequelae, and other medical complications that last weeks to
months after initial recovery. This systematic review and meta-analysis aims to identify studies
assessing the long-term efects of COVID-19. LitCOVID and Embase were searched to identify articles
with original data published before the 1st of January 2021, with a minimum of 100 patients. For
efects reported in two or more studies, meta-analyses using a random-efects model were performed
using the MetaXL software to estimate the pooled prevalence with 95% CI. PRISMA guidelines were
followed. A total of 18,251 publications were identifed, of which 15 met the inclusion criteria. The
prevalence of 55 long-term efects was estimated, 21 meta-analyses were performed, and 47,910
patients were included (age 17–87 years). The included studies defned long-COVID as ranging from 14
to 110 days post-viral infection. It was estimated that 80% of the infected patients with SARS-CoV-2
developed one or more long-term symptoms. The fve most common symptoms were fatigue (58%),
headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). Multi-disciplinary
teams are crucial to developing preventive measures, rehabilitation techniques, and clinical
management strategies with whole-patient perspectives designed to address long COVID-19 care.

Clinical Diagnosis of Benign Paroxysmal Positional Vertigo and Vestibular Neuritis

Author/s: 
Johns, Peter, Quinn, James

• Assess patients with vertigo for focal neurologic signs and symptoms, sustained substantial headache or neck pain, inability to stand and spontaneous vertical nystagmus.

• Perform the Dix–Hallpike test only for patients with episodes of vertigo less than 2 minutes and no nystagmus at rest.

• Perform the head impulse, nystagmus and test of skew (HINTS) plus (plus refers to a test of recent hearing loss) examination only for patients with hours or days of constant, ongoing vertigo and nystagmus at rest.

Clinical diagnosis of benign paroxysmal positional vertigo and vestibular neuritis

Author/s: 
Johns, P, Quinn, J

KEY POINTS

• Assess patients with vertigo for focal neurologic signs and symptoms, sustained substantial headache or neck pain, inability to stand and spontaneous vertical nystagmus.

• Perform the Dix–Hallpike test only for patients with episodes of vertigo less than 2 minutes and no nystagmus at rest.

• Perform the head impulse, nystagmus and test of skew (HINTS) plus (plus refers to a test of recent hearing loss) examination only for patients with hours or days of constant, ongoing vertigo and nystagmus at rest

Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

Author/s: 
Chen, N, Zhou, M, Dong, X, Qu, J, Gong, F, Han, Y, Qiu, Y, Wang, J, Liu, Y, Wei, Y, Xia, J, Yu, T, Zhang, X, Zhang, L

BACKGROUND:

In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia.

METHODS:

In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020.

FINDINGS:

Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure.

INTERPRETATION:

The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection.

FUNDING:

National Key R&D Program of China.

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